Michael Gleimer
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in ⓘ
- Immunology 14
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 7
- Oncology 4
- CAR-T cell therapy research 3
- Chemokine receptors and signaling 1
- Co-authors
- Peter Parham (7 shared papers)Johannes B. Huppa (1 shared paper)Cenk Sumen (1 shared paper)Mark M. Davis (1 shared paper)Paul J. Norman (3 shared papers)Achim K. Moesta (2 shared papers)Makoto Yawata (2 shared papers)Nobuyo Yawata (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Immunity (2 papers)Blood (1 paper)Current Opinion in Immunology (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Michael Gleimer
14 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 75
- Immunology 1.3k
- Hematology 159
- Virology 35
- Oncology 196
- Immunology and Allergy 28
Countries citing papers authored by Michael Gleimer
This map shows the geographic impact of Michael Gleimer'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 Gleimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gleimer more than expected).
Fields of papers citing papers by Michael Gleimer
This network shows the impact of papers produced by Michael Gleimer. 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 Gleimer. The network helps show where Michael Gleimer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Gleimer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 332 | |
| 2 | 2008 | 313 | |
| 3 | 2009 | 194 | |
| 4 | 2003 | 169 | |
| 5 | 2003 | 98 | |
| 6 | 2012 | 74 | |
| 7 | 2004 | 49 | |
| 8 | 2010 | 45 | |
| 9 | 2012 | 43 | |
| 10 | 2010 | 31 | |
| 11 | 2011 | 23 | |
| 12 | 2002 | 23 | |
| 13 | 2015 | 9 | |
| 14 | 2010 | 3 |
About Michael Gleimer
Michael Gleimer is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Rehabilitation, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (3 papers), Chemokine receptors and signaling (1 paper), Eosinophilic Disorders and Syndromes (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Immunology (1.3k citations), Hematology (159 citations), Virology (35 citations), Oncology (196 citations) and Immunology and Allergy (28 citations). Michael Gleimer has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Peter Parham, Johannes B. Huppa, Cenk Sumen, Mark M. Davis, Paul J. Norman, Achim K. Moesta, Makoto Yawata, Nobuyo Yawata, Harald von Boehmer and Taras Kreslavsky. Their work appears in journals such as The Journal of Immunology, Immunity, Blood, Current Opinion in Immunology and Current Biology.
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.