Dermatoglyphics and Human Traits
Dermatoglyphics and Human Traits is a research topic within Genetics. Science Explorer counts 5.4k research works in it since 1950. 11.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the study of dermatoglyphic patterns as a genetic marker and its application in medical diagnosis, epidemiological studies, and health risk assessment. It covers research related to non-communicable diseases, oral health, cancer, biostatistics, and public health.
- Dermatoglyphic Patterns
- Genetic Marker
- Medical Diagnosis
- Epidemiological Studies
- Health Risk Assessment
- Non-Communicable Diseases
- Oral Health
- Cancer Research
- Biostatistics
- Public Health
- Research works
- 5.4k fractional, since 1950
- In the world top 10%
- 645 per year above
- Top-10% rate
- 11.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +28% the tick is no change
Which countries lead Dermatoglyphics and Human Traits research?
By volume, Indonesia and Türkiye publish the most (200 and 190 works in 2022–2025).
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Dermatoglyphics and Human Traits research?
By volume in 2022–2025, Universitas Trisakti publishes the most Dermatoglyphics and Human Traits research, followed by Airlangga University and Padjadjaran University.
By volume, 2022–2025
- 1 Universitas TrisaktiIndonesia 16 works
- 2 Airlangga UniversityIndonesia 11 works
- 3 Padjadjaran UniversityIndonesia 9 works
- 4 Udayana UniversityIndonesia 9 works
- 5 Sağlık Bilimleri ÜniversitesiTürkiye 7 works
- 6 Institute of Medical SciencesIndia 6 works
- 7 Van Yüzüncü Yıl ÜniversitesiTürkiye 6 works
- 8 Politeknik Kesehatan Kemenkes SemarangIndonesia 6 works
- 9 University of Port HarcourtNigeria 5 works
- 10 Ivano-Frankivsk National Medical UniversityUkraine 5 works
Where is Dermatoglyphics and Human Traits research done?
The largest centres of Dermatoglyphics and Human Traits research in 2022–2025 are Istanbul (Türkiye), Jakarta (Indonesia), Ankara (Türkiye) and Surabaya (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Istanbul.
Largest cities, 2022–2025
Where it is the local speciality
- IstanbulTR · 31.3 works6.7×
Location quotient: how much more of its research is in Dermatoglyphics and Human Traits than the world average.
Where is the best place to study Dermatoglyphics and Human Traits?
Among universities, judged by research, Padjadjaran University, Airlangga University and Universitas Trisakti score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Padjadjaran UniversityIndonesia | 47.0 | 1.3% | 10.5× | 9 | +174.5% |
| 2 | Airlangga UniversityIndonesia | 45.7 | 0.6% | 12.3× | 11 | +210.7% |
| 3 | Universitas TrisaktiIndonesia | 26.6 | 0.0% | 39.0× | 16 | — |
| 4 | Udayana UniversityIndonesia | 0.0 | 0.0% | 11.8× | 9 | +49.1% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Dermatoglyphics and Human Traits research growing?
Output in 2018–2022 was 28% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Dermatoglyphics and Human Traits.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.