Science Explorer Interactive view Map
City · China

Research in Pingliang

Science Explorer records 2 research institutions in Pingliang, China. The highest-ranked on research quality in 2022–2025 are Jingning County People's Hospital and Pingliang People's Hospital.

Research institutions
2
2 of them ranked worldwide
Research works
1.2k
▼ 57% vs 2013–17
Top-10% rate, 2022–2025
14.8%
record average 16.5%

A city carries no overall standing here. The composite score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.

Which research institutions are in Pingliang?

#InstitutionWorksAgainst the largest hereWorld rank
1Jingning County People's HospitalHospital / health system 644 #15,306
2Pingliang People's HospitalHospital / health system 535 #17,852

By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.

Which keywords describe research in Pingliang?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Cancer, Inflammation, Epidemiology, Oxidative Stress, Gene Expression, Tumor Microenvironment, Cardiovascular Disease and Cell Death.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this city's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Epidemiology21▲ 2.1×83 topics
  2. Inflammation18▲ 3.4×62 topics
  3. Cancer18▲ 5.1×35 topics
  4. Oxidative Stress14▲ 3.5×43 topics
  5. Cardiovascular Disease8▲ 3.0×23 topics
  6. Gene Expression7▲ 4.7×15 topics
  7. Diagnosis7▲ 3.0×20 topics
  8. Biomarkers7▲ 4.0×12 topics
  9. Treatment7▲ 2.2×29 topics
  10. Management7▲ 3.4×13 topics
  11. Tumor Microenvironment6▲ 5.6×7 topics
  12. Chemotherapy6▲ 3.4×18 topics
  13. Metabolic Syndrome6▲ 2.9×16 topics
  14. Quality of Life6▲ 1.64×27 topics
  15. Clinical Practice Guidelines5▲ 3.8×13 topics
  16. Immune Response5▲ 3.6×17 topics
  17. Cell Death5▲ 8.6×6 topics
  18. Depression5▲ 2.2×14 topics
  19. Regulation5▲ 3.7×8 topics
  20. Immunotherapy5▲ 2.6×17 topics
  21. Metastasis5▲ 5.5×8 topics
  22. Neuroinflammation5▲ 6.3×6 topics
  23. Immunity4▲ 4.4×7 topics
  24. Mortality4▲ 3.0×10 topics
  25. Apoptosis4▲ 5.6×12 topics
  26. Biogenesis4▲ 9.6×3 topics
  27. Metabolism4▲ 3.2×19 topics
  28. Epigenetic Regulation4▲ 7.3×4 topics
  29. Precision Medicine4▲ 3.2×7 topics
  30. Surgical Management4▲ 3.5×14 topics
  31. Traditional Chinese Medicine4▲ 12×4 topics
  32. Cell Differentiation4▲ 15×2 topics
  33. Long Noncoding RNAs3▲ 16×1 topic
  34. RNA Regulation3▲ 13×1 topic
  35. Integrative Medicine3▲ 20×2 topics
  36. Macrophages3▲ 6.7×6 topics
  37. Neuroprotective Effects3▲ 7.5×6 topics
  38. Convolutional Neural Network3▲ 6.8×3 topics
  39. Disease3▲ 12×2 topics
  40. Ferroptosis2▲ 13×1 topic

What research is done in Pingliang?

  1. 1 Cancer-related molecular mechanisms research Cancer Research 3 works
  2. 2 Ferroptosis and cancer prognosis Pulmonary and Respiratory Medicine 2 works
  3. 3 MicroRNA in disease regulation Cancer Research 2 works
  4. 4 Advanced Technologies in Various Fields Artificial Intelligence 2 works
  5. 5 Traditional Chinese Medicine Studies Complementary and alternative medicine 2 works
  6. 6 Circular RNAs in diseases Molecular Biology 2 works
  7. 7 Gynecological conditions and treatments Obstetrics and Gynecology 1 works
  8. 8 Medical Research and Treatments Complementary and alternative medicine 1 works
  9. 9 Inflammatory Biomarkers in Disease Prognosis Oncology 1 works
  10. 10 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 1 works

Research output over time

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more.