Ganesh Mohan

418 citations
50 papers · 264 · h-index 10

Impact in

  • Biophysics top 10%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Rabies epidemiology and control

Papers in

Ganesh Mohan

38 papers receiving 260 citations

Peers

Ganesh Mohan
Comparison fields: 5 of 86
  • Biophysics 36
  • Virology 28
  • Management of Technology and Innovation 27
  • Hematology 38
  • Biochemistry 18
Replace P. Moncharmont with:
P. Moncharmont France
E. Strobel Germany
Martin H. Stryker United States
Kenji Waki Japan
Robert A. Johnson United States
Abraham Campos‐Romero Mexico
Phillip Norris United States
Joanna Jabłońska Poland
Jason K. Burris United States
Wenqing Le China
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Citations per year

Countries citing papers authored by Ganesh Mohan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ganesh Mohan Line = papers co-authored together Ganesh Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199850
2 201918
3 202018
4 201917
5 202016
6 202114
7 201912
8 199410
9 20179
10 20199
11 20208
12 20198
13 20206
14 20186
15 20216
16 20195
17 19915
18 20215
19 20134
20 20194

About Ganesh Mohan

Ganesh Mohan is a scholar working on Physiology, Management of Technology and Innovation, Hematology, Genetics and Critical Care and Intensive Care Medicine, having authored 50 papers that have together received 264 indexed citations. Recurring topics across this work include Blood donation and transfusion practices (9 papers), Erythrocyte Function and Pathophysiology (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Blood transfusion and management (5 papers), Blood groups and transfusion (5 papers), Lymphatic System and Diseases (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Biophysics (36 citations), Virology (28 citations), Management of Technology and Innovation (27 citations), Hematology (38 citations) and Biochemistry (18 citations). Ganesh Mohan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shamee Shastry, Jijo Lukose, Santhosh Chidangil, Victoria Cox, Philip Rosenthal, Amanda E. Toland, Gregory M. Enns, Mahin Golabi, Shobha Sahney and Kapaettu Satyamoorthy. 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.

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