Satish Srinivasan
- Molecular Biology top 5%
- Cancer Research top 5%
- Physiology top 10%
- Oncology top 10%
- Epidemiology
- Co-authors
- Narayan G. AvadhaniManti GuhaBalaraman KalyanaramanHindupur K. AnandatheerthavaradaJoy JosephJoseph F. SpearHaider RazaSubbuswamy K. Prabu
- Topics
- Mitochondrial Function and Pathology (20 papers)ATP Synthase and ATPases Research (11 papers)Sentiment Analysis and Opinion Mining (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Satish Srinivasan
66 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.6k
- Cancer Research 546
- Physiology 303
- Oncology 274
- Epidemiology 241
Countries citing papers authored by Satish Srinivasan
This map shows the geographic impact of Satish Srinivasan'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 Satish Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish Srinivasan more than expected).
Fields of papers citing papers by Satish Srinivasan
This network shows the impact of papers produced by Satish Srinivasan. 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 Satish Srinivasan. The network helps show where Satish Srinivasan may publish in the future.
Co-authorship network of co-authors of Satish Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Satish Srinivasan. A scholar is included among the top collaborators of Satish Srinivasan 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 Satish Srinivasan. Satish Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | Power of Predictive Analytics: Using Emotion Classification of Twitter Data for Predicting 2016 US Presidential Elections | 2 |
| 4 | 12 | |
| 5 | 53 | |
| 6 | 333 | |
| 7 | 75 | |
| 8 | 8 | |
| 9 | 63 | |
| 10 | 14 | |
| 11 | 79 | |
| 12 | 10 | |
| 13 | 99 | |
| 14 | 51 | |
| 15 | 293 | |
| 16 | 43 | |
| 17 | A survey on model driven software development | 2 |
| 18 | 145 | |
| 19 | 38 | |
| 20 | 169 |
About Satish Srinivasan
Satish Srinivasan is a scholar working on Software, Aging and Health Informatics, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (20 papers), ATP Synthase and ATPases Research (11 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Cancer Research (546 citations), Aging (42 citations) and Molecular Biology (1.6k citations). Satish Srinivasan has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Narayan G. Avadhani, Manti Guha, Balaraman Kalyanaraman, Hindupur K. Anandatheerthavarada, Joy Joseph, Joseph F. Spear, Haider Raza, Subbuswamy K. Prabu, Raghvinder S. Sangwan and Gopa Biswas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.