Science Explorer Back to mapMap
Discussion
Researcher · Alliance University · India

M. C. Shanmukha

M. C. Shanmukha publishes mostly in Computational Theory and Mathematics, Geometry and Topology and Organic Chemistry, on topics such as Computational Drug Discovery Methods, Graph theory and applications and Free Radicals and Antioxidants.

ORCID 0000-0002-9560-1209 OpenAlex
World rank
#1,137,382
of 7,710,434 ranked researchers
Rank in India
#16,569
of 280,097
Works
52
Citations
629
Citations per work
12.1
h-index
15
i10-index 16Top 24% in Computational Theory and Mathematics
M. C. Shanmukha

What does M. C. Shanmukha research?

M. C. Shanmukha's work is mostly in Computer Science (33%), Mathematics (26%), Chemistry (23%).

Physical Sciences: 45 works · 85.6% of their workComputer Science: 17 works · 33.3% of their workComputational Theory and Mathematics: 17 works · 33.3% of their workMathematics: 14 works · 26.5% of their workGeometry and Topology: 14 works · 26.5% of their workChemistry: 12 works · 23.1% of their workOrganic Chemistry: 12 works · 23.1% of their workMaterials Science: 1 works · 2.7% of their workMaterials Chemistry: 1 works · 2.7% of their workEverything else: 6 works · 11.6% of their workLife Sciences: 1 works · 1.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.4% of their workMolecular Biology: 1 works · 1.4% of their workHealth Sciences: 1 works · 1.4% of their workMedicine: 1 works · 1.4% of their workPhysiology: 1 works · 1.4% of their workTHEIR WORKM. C. Shanmukha52works
Life Sciences1%Physical Sciences86%Health Sciences1%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1733.3%
    2. Mathematics1426.5%
    3. Chemistry1223.1%
    4. Materials Science12.7%
  2. Everything else611.6%
    1. Biochemistry, Genetics and Molecular Biology11.4%
    1. Medicine11.4%
  1. 1Computational Theory and Mathematics33% of their works
  2. 2Geometry and Topology26% of their works
  3. 3Organic Chemistry23% of their works
  4. 4Materials Chemistry3% of their works
  5. 5Physiology1% of their works
  6. 6Molecular Biology1% of their works

Research topics

Which keywords describe M. C. Shanmukha's research?

The keywords of their largest research topics: Medicinal Chemistry, Graph Spectra, Molecular Docking, Topological Indices, Virtual Screening, Antioxidant, Phenolic Compounds and Graph Labeling.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Medicinal Chemistry422 topics
  2. Graph Spectra391 topic
  3. Molecular Docking391 topic
  4. Topological Indices391 topic
  5. Virtual Screening391 topic
  6. Antioxidant251 topic
  7. Phenolic Compounds251 topic
  8. Graph Labeling81 topic
  9. Metric Dimension81 topic
  10. Anticancer Agents31 topic
  11. Enthalpies31 topic
  12. Heterocyclic Compounds31 topic
  13. Vaporization31 topic
  14. Acute Promyelocytic Leukemia21 topic
  15. Aromaticity21 topic
  16. Helical Polymers21 topic
  17. Retinoic Acid21 topic

Where does M. C. Shanmukha work?

M. C. Shanmukha's main affiliation in the publication record is Alliance University, India.

How many publications and citations does M. C. Shanmukha have?

OpenAlex counts 52 works and 629 citations for M. C. Shanmukha, an h-index of 15, ranking #1,137,382 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about M. C. Shanmukha. Posts are plain text and can be reported.