Mohan Jayaram

17 papers receiving 928 citations

Mohan Jayaram's Hit Papers

Tissue Resident CCR2− and CCR2+ Cardiac Macrophages Differentially Orchestrate Monocyte Recruitment and Fate Specification Following Myocardial Injury 2019 · 531 citations
5310+2+4Years since publication100200300400500

Peers

Mohan Jayaram
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 344
  • Aging 16
  • Biological Psychiatry 18
  • Immunology 149
  • Molecular Biology 395
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Elena Popova Germany
Danielle Tenen United States
Hannah G. Radley‐Crabb Australia
Chester M. Hedgepeth United States
Yasuo Ouchi Japan
Deivid C. Rodrigues Brazil
Gerald L. Stelmack Canada
Jie Quan United States
Lucia Mičutková Slovakia
Raffaella Adami Italy
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Citations per year

Countries citing papers authored by Mohan Jayaram

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Mohan Jayaram, 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 Mohan Jayaram Line = papers co-authored together Mohan Jayaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Tissue Resident CCR2− and CCR2+ Cardiac Macrophages Differentially Orchestrate Monocyte Recruitment and Fate Specification Following Myocardial Injury
Hit paper breakdown →
2019531
2 201751
3 201549
4 201949
5 201443
6 201838
7 201732
8 201428
9 201825
10 201522
11 201617
12 201512
13 202112
14 202110
15 20228
16 20226
17 20193
18 20240
19 20220
20 20220

About Mohan Jayaram

Mohan Jayaram is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 20 papers that have together received 936 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Pancreatic function and diabetes (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Insect behavior and control techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (344 citations), Aging (16 citations), Biological Psychiatry (18 citations), Immunology (149 citations) and Molecular Biology (395 citations). Mohan Jayaram has collaborated with scholars based in Estonia, United States and India. Frequent co-authors include Geetika Bajpai, Andrea Bredemeyer, Kory J. Lavine, Andrew L. Koenig, Maxim N. Artyomov, Attila Kovács, Carla J. Weinheimer, Daniel Kreisel, Wenjun Li and Inessa Lokshina. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Frontiers in Ecology and Evolution, Journal of Hematology & Oncology and Frontiers in Public Health.

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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