Mohan Jayaram
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Immunology
- Surgery
- Cellular and Molecular Neuroscience
- Co-authors
- Kory J. LavineGeetika BajpaiAndrea BredemeyerDaniel KreiselKonstantin ZaitsevCarla J. WeinheimerAttila KovácsWenjun Li
- Topics
- Neuroscience and Neuropharmacology Research (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)Receptor Mechanisms and Signaling (3 papers)
- Partner nations
- EstoniaUnited StatesIndia
In The Last Decade
Mohan Jayaram
17 papers receiving 884 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 429
- Cardiology and Cardiovascular Medicine 347
- Immunology 170
- Surgery 162
- Cellular and Molecular Neuroscience 91
Countries citing papers authored by Mohan Jayaram
This map shows the geographic impact of Mohan Jayaram'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 Mohan Jayaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Jayaram more than expected).
Fields of papers citing papers by Mohan Jayaram
This network shows the impact of papers produced by Mohan Jayaram. 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 Mohan Jayaram. The network helps show where Mohan Jayaram may publish in the future.
Co-authorship network of co-authors of Mohan Jayaram
This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Jayaram. A scholar is included among the top collaborators of Mohan Jayaram 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 Mohan Jayaram. Mohan Jayaram 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 | 8 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 46 | |
| 9 | Tissue Resident CCR2− and CCR2+ Cardiac Macrophages Differentially Orchestrate Monocyte Recruitment and Fate Specification Following Myocardial Injurybreakdown → | 510 |
| 10 | 3 | |
| 11 | 38 | |
| 12 | 23 | |
| 13 | 29 | |
| 14 | 48 | |
| 15 | 15 | |
| 16 | 49 | |
| 17 | 22 | |
| 18 | 11 | |
| 19 | 37 | |
| 20 | 28 |
About Mohan Jayaram
Mohan Jayaram is a scholar working on Developmental Neuroscience, Biological Psychiatry and Neurology, having authored 20 papers that have together received 892 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (347 citations), Aging (17 citations) and Biological Psychiatry (21 citations). Mohan Jayaram has collaborated with scholars based in Estonia, United States and India. Frequent co-authors include Kory J. Lavine, Geetika Bajpai, Andrea Bredemeyer, Daniel Kreisel, Konstantin Zaitsev, Carla J. Weinheimer, Attila Kovács, Wenjun Li, Andrew L. Koenig and Slava Epelman. Their work appears in journals such as Circulation Research, Journal of Neurophysiology and Scientific Reports.
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.