D. Sudarsanam
- Co-authors
- M. DhanasekaranIndumathi SomasundaramJ. S. RajkumarC. R. R. M. ReddyRajeev SachdevaB. Naresh Kumar ReddyN C NayakS. Chandrasekaran
- Topics
- Mesenchymal stem cell research (8 papers)Tissue Engineering and Regenerative Medicine (3 papers)Computational Drug Discovery Methods (3 papers)
- Cited by
- GeneticsHepatologyEpidemiology
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of CancerCell and Tissue Research
- Partner nations
- IndiaUnited States
In The Last Decade
D. Sudarsanam
24 papers receiving 274 citations
Peers
Comparison fields: 5 of 61
- Genetics 104
- Surgery 97
- Epidemiology 97
- Molecular Biology 65
- Hepatology 46
Countries citing papers authored by D. Sudarsanam
This map shows the geographic impact of D. Sudarsanam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Sudarsanam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Sudarsanam more than expected).
Fields of papers citing papers by D. Sudarsanam
This network shows the impact of papers produced by D. Sudarsanam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Sudarsanam. The network helps show where D. Sudarsanam may publish in the future.
Co-authorship network of co-authors of D. Sudarsanam
This figure shows the co-authorship network connecting the top 25 collaborators of D. Sudarsanam. A scholar is included among the top collaborators of D. Sudarsanam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Sudarsanam. D. Sudarsanam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | INSILICO MODELLING OF THE INTEGRATIVE PATHWAY OF CARCINOMA BY HPV E6 PROTEIN-PROTEIN INTERACTION | 1 |
| 4 | MOLECULAR DOCKING STUDIES OF HYPEROSIDE AND BETA SITOSTEROL WITH HAEMOGLOBIN AS A TARGET FOR TYPE 2 DIABETES | 1 |
| 5 | 13 | |
| 6 | 14 | |
| 7 | Interaction of Hyperoside and β-sitosterol with Alanine Transaminase using Molecular Docking | 1 |
| 8 | 13 | |
| 9 | 19 | |
| 10 | 45 | |
| 11 | 23 | |
| 12 | A Review on Bio Informatics for Diabetic Mellitus | 7 |
| 13 | 25 | |
| 14 | 8 | |
| 15 | Evaluation of single nucleotide polymorphism C825T in the GNB3 gene with the development of type 2 diabetes of the South Indian population | 5 |
| 16 | Wolman's disease. | 19 |
| 17 | Hepatitis B surface antigen and cirrhosis in hepatocellular carcinoma. | 1 |
| 18 | Metastatic carcinoma breast in lateral rectus muscle. | 7 |
| 19 | 70 | |
| 20 | A rare case of functioning glomus jugulare tumour. | 7 |
About D. Sudarsanam
D. Sudarsanam is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 25 papers that have together received 301 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Genetics (104 citations), Hepatology (46 citations) and Epidemiology (97 citations). D. Sudarsanam has collaborated with scholars based in India and United States. Frequent co-authors include M. Dhanasekaran, Indumathi Somasundaram, J. S. Rajkumar, C. R. R. M. Reddy, Rajeev Sachdeva, B. Naresh Kumar Reddy, N C Nayak, S. Chandrasekaran, S. Karat and Anna Thomas. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Cell and Tissue Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.