Michael Grimm

5.5k citations
125 papers · 4.7k · h-index 38

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Oncology top 5%
    • Chemokine receptors and signaling

Papers in

    • Inflammatory Bowel Disease 33
    • Chemokine receptors and signaling 15

Michael Grimm

120 papers receiving 4.5k citations

Peers

Michael Grimm
Comparison fields: 5 of 137
  • Virology 180
  • Oncology 761
  • Physiology 124
  • Genetics 815
  • Immunology 494
Replace Jirô Imanishi with:
Jirô Imanishi Japan
Steve Nelson United States
Satish L. Deshmane United States
Catharien M. U. Hilkens United Kingdom
Christoph Mueller Switzerland
Eduardo López‐Collazo Spain
Roberta Rizzo Italy
Ralph Kay Heinrich Nanan Australia
Roland Jonsson Norway
Soohyun Kim South Korea
Michael Grimm relative to Jirô Imanishi Japan Jirô Imanishi's profile →
Citations per field
00.5×5×12.4×
Jirô Imanishi · 1×
Citations per year

Countries citing papers authored by Michael Grimm

Since Specialization
Citations

This map shows the geographic impact of Michael Grimm'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 Michael Grimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grimm more than expected).

Fields of papers citing papers by Michael Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Grimm. 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 Michael Grimm. The network helps show where Michael Grimm may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999465
2 1999247
3 1998192
4 1996164
5 1998154
6 2000153
7 2010146
8 1996143
9 2017132
10 1998124
11 1995123
12 2013122
13 2011113
14 2021113
15 199679
16 201276
17 199875
18 201072
19 199969
20 201259

About Michael Grimm

Michael Grimm is a scholar working on Genetics, Oncology, Cardiology and Cardiovascular Medicine, Food Science and Virology, having authored 125 papers that have together received 4.7k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (33 papers), Gut microbiota and health (16 papers), Chemokine receptors and signaling (15 papers), Salmonella and Campylobacter epidemiology (10 papers), Cardiac Valve Diseases and Treatments (9 papers), Cardiac and Coronary Surgery Techniques (6 papers), HIV Research and Treatment (5 papers) and Mechanical Circulatory Support Devices (5 papers). The work is most often cited by research in Virology (180 citations), Oncology (761 citations), Physiology (124 citations), Genetics (815 citations) and Immunology (494 citations). Michael Grimm has collaborated with scholars based in Australia, United States and Austria. Frequent co-authors include Joost J. Oppenheim, Paul Pavli, O. M. Zack Howard, Stephen M. Riordan, Li Zhang, William F. Doe, William F. Doe, William J. Murphy, Howard A. Young and Miriam R. Anver. Their work appears in journals such as PLoS ONE, Clinical & Experimental Immunology, The Annals of Thoracic Surgery, European Journal of Cardio-Thoracic Surgery and Journal of Gastroenterology and Hepatology.

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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