Frédéric Geissmann
Impact in
- Immunology top 0.02%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Phagocytosis and Immune Regulation
- Neurology top 0.05%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 84
- Immune cells in cancer 40
- Immunotherapy and Immune Responses 27
- T-cell and B-cell Immunology 25
- Immune Cell Function and Interaction 22
- Immune Response and Inflammation 16
- Phagocytosis and Immune Regulation 8
- Co-authors
- Steffen Jung (5 shared papers)Dan R. Littman (4 shared papers)Michael H. Sieweke (2 shared papers)Elisa Gomez Perdiguero (12 shared papers)Cédric Auffray (7 shared papers)Kevin Woollard (4 shared papers)Klaus Ley (2 shared papers)Markus G. Manz (1 shared paper)
- Journals
- The Journal of Experimental Medicine (7 papers)Blood (5 papers)Cell (5 papers)Science (5 papers)Journal of Clinical Investigation (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Frédéric Geissmann
112 papers receiving 27.4k citations
Frédéric Geissmann's Hit Papers
Peers
Comparison fields: 5 of 148
- Immunology 18.0k
- Neurology 3.9k
- Biological Psychiatry 350
- Immunology and Allergy 795
- Developmental Neuroscience 471
Countries citing papers authored by Frédéric Geissmann
This map shows the geographic impact of Frédéric Geissmann'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 Frédéric Geissmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Geissmann more than expected).
Fields of papers citing papers by Frédéric Geissmann
This network shows the impact of papers produced by Frédéric Geissmann. 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 Frédéric Geissmann. The network helps show where Frédéric Geissmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Geissmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties Hit paper breakdown → | 2003 | 2665 |
| 2 | Development of Monocytes, Macrophages, and Dendritic Cells Hit paper breakdown → | 2010 | 2287 |
| 3 | A Lineage of Myeloid Cells Independent of Myb and Hematopoietic Stem Cells Hit paper breakdown → | 2012 | 1917 |
| 4 | Tissue-resident macrophages originate from yolk-sac-derived erythro-myeloid progenitors Hit paper breakdown → | 2014 | 1728 |
| 5 | Monitoring of Blood Vessels and Tissues by a Population of Monocytes with Patrolling Behavior Hit paper breakdown → | 2007 | 1480 |
| 6 | Blood Monocytes: Development, Heterogeneity, and Relationship with Dendritic Cells Hit paper breakdown → | 2009 | 1191 |
| 7 | Environment Drives Selection and Function of Enhancers Controlling Tissue-Specific Macrophage Identities Hit paper breakdown → | 2014 | 987 |
| 8 | Human CD14dim Monocytes Patrol and Sense Nucleic Acids and Viruses via TLR7 and TLR8 Receptors Hit paper breakdown → | 2010 | 930 |
| 9 | Constant replenishment from circulating monocytes maintains the macrophage pool in the intestine of adult mice Hit paper breakdown → | 2014 | 851 |
| 10 | A Clonogenic Bone Marrow Progenitor Specific for Macrophages and Dendritic Cells Hit paper breakdown → | 2005 | 761 |
| 11 | Monocytes in atherosclerosis: subsets and functions Hit paper breakdown → | 2010 | 693 |
| 12 | Specification of tissue-resident macrophages during organogenesis Hit paper breakdown → | 2016 | 624 |
| 13 | Nr4a1-Dependent Ly6Clow Monocytes Monitor Endothelial Cells and Orchestrate Their Disposal Hit paper breakdown → | 2013 | 562 |
| 14 | Intravascular Immune Surveillance by CXCR6+ NKT Cells Patrolling Liver Sinusoids Hit paper breakdown → | 2005 | 536 |
| 15 | 2006 | 495 | |
| 16 | 2011 | 487 | |
| 17 | The development and maintenance of resident macrophages Hit paper breakdown → | 2015 | 446 |
| 18 | 1998 | 422 | |
| 19 | 2010 | 420 | |
| 20 | 2007 | 414 |
About Frédéric Geissmann
Frédéric Geissmann is a scholar working on Immunology, Molecular Biology, Physiology, Neurology and Cellular and Molecular Neuroscience, having authored 112 papers that have together received 27.7k indexed citations. Recurring topics across this work include Immune cells in cancer (40 papers), Immunotherapy and Immune Responses (27 papers), T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (22 papers), Immune Response and Inflammation (16 papers), Histiocytic Disorders and Treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and Phagocytosis and Immune Regulation (8 papers). The work is most often cited by research in Immunology (18.0k citations), Neurology (3.9k citations), Biological Psychiatry (350 citations), Immunology and Allergy (795 citations) and Developmental Neuroscience (471 citations). Frédéric Geissmann has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Steffen Jung, Dan R. Littman, Michael H. Sieweke, Elisa Gomez Perdiguero, Cédric Auffray, Kevin Woollard, Klaus Ley, Markus G. Manz, Miriam Mérad and Christian Schulz. Their work appears in journals such as The Journal of Experimental Medicine, Blood, Cell, Science and Journal of Clinical Investigation.
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.