Ganesh Mohan
Impact in
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
-
- Rabies epidemiology and control
Papers in
- Physiology 11
- Erythrocyte Function and Pathophysiology 8
- Hematology 10
- Blood groups and transfusion 7
- Co-authors
- Shamee Shastry (41 shared papers)Santhosh Chidangil (9 shared papers)Jijo Lukose (9 shared papers)Gregory M. Enns (1 shared paper)Victoria Cox (1 shared paper)Philip Rosenthal (1 shared paper)Mahin Golabi (1 shared paper)Amanda E. Toland (1 shared paper)
- Journals
- RSC Advances (3 papers)Scientific Reports (2 papers)Journal of Clinical Apheresis (2 papers)Prostate International (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Ganesh Mohan
40 papers receiving 290 citations
Peers
Comparison fields: 5 of 82
- Biophysics 42
- Virology 19
- Management of Technology and Innovation 28
- Hematology 33
- Genetics 76
Countries citing papers authored by Ganesh Mohan
This map shows the geographic impact of Ganesh Mohan'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 Ganesh Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganesh Mohan more than expected).
Fields of papers citing papers by Ganesh Mohan
This network shows the impact of papers produced by Ganesh Mohan. 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 Ganesh Mohan. The network helps show where Ganesh Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ganesh Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 55 | |
| 2 | 2020 | 21 | |
| 3 | 2019 | 20 | |
| 4 | 2020 | 19 | |
| 5 | 2019 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 1994 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 1991 | 5 | |
| 20 | 2013 | 4 |
About Ganesh Mohan
Ganesh Mohan is a scholar working on Physiology, Hematology, Management of Technology and Innovation, Genetics and Critical Care and Intensive Care Medicine, having authored 54 papers that have together received 296 indexed citations. Recurring topics across this work include Blood donation and transfusion practices (8 papers), Erythrocyte Function and Pathophysiology (8 papers), Blood groups and transfusion (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers), Lymphatic System and Diseases (4 papers), Blood transfusion and management (4 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Biophysics (42 citations), Virology (19 citations), Management of Technology and Innovation (28 citations), Hematology (33 citations) and Genetics (76 citations). Ganesh Mohan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shamee Shastry, Santhosh Chidangil, Jijo Lukose, Gregory M. Enns, Victoria Cox, Philip Rosenthal, Mahin Golabi, Amanda E. Toland, Shobha Sahney and S. Prakash. Their work appears in journals such as RSC Advances, Scientific Reports, Journal of Clinical Apheresis, Prostate International and Breast Cancer 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.