Ralf Stumm
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Receptor Mechanisms and Signaling 16
- Oncology 24
- Chemokine receptors and signaling 24
- Co-authors
- Stefan Schulz (29 shared papers)Volker Höllt (21 shared papers)Manuela Pfeiffer (5 shared papers)Angela Kolodziej (7 shared papers)Chun Zhou (4 shared papers)Josef Krieglstein (3 shared papers)Carsten Culmsee (3 shared papers)Dagmar Schütz (15 shared papers)
- Journals
- Journal of Neuroscience (8 papers)Cell Reports (4 papers)Journal of Biological Chemistry (4 papers)The Journal of Comparative Neurology (3 papers)Development (3 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Ralf Stumm
66 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 720
- Neurology 813
- Cellular and Molecular Neuroscience 1.4k
- Immunology 1.0k
- Oncology 1.2k
Countries citing papers authored by Ralf Stumm
This map shows the geographic impact of Ralf Stumm'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 Ralf Stumm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Stumm more than expected).
Fields of papers citing papers by Ralf Stumm
This network shows the impact of papers produced by Ralf Stumm. 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 Ralf Stumm. The network helps show where Ralf Stumm may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Stumm, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 383 | |
| 2 | 2002 | 337 | |
| 3 | 2011 | 250 | |
| 4 | 2020 | 168 | |
| 5 | 2004 | 154 | |
| 6 | 2004 | 151 | |
| 7 | 2020 | 134 | |
| 8 | 2003 | 131 | |
| 9 | 2008 | 122 | |
| 10 | 2007 | 119 | |
| 11 | 2008 | 109 | |
| 12 | 2012 | 95 | |
| 13 | 2008 | 94 | |
| 14 | 2008 | 94 | |
| 15 | 2007 | 91 | |
| 16 | 1999 | 86 | |
| 17 | 2003 | 82 | |
| 18 | 2007 | 80 | |
| 19 | 2010 | 80 | |
| 20 | 2001 | 79 |
About Ralf Stumm
Ralf Stumm is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Immunology and Neurology, having authored 67 papers that have together received 4.3k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (16 papers), Neurogenesis and neuroplasticity mechanisms (15 papers), Immune cells in cancer (5 papers), Immune Response and Inflammation (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Developmental Neuroscience (720 citations), Neurology (813 citations), Cellular and Molecular Neuroscience (1.4k citations), Immunology (1.0k citations) and Oncology (1.2k citations). Ralf Stumm has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Stefan Schulz, Volker Höllt, Manuela Pfeiffer, Angela Kolodziej, Chun Zhou, Josef Krieglstein, Carsten Culmsee, Dagmar Schütz, Thomas Koch and Stefan Jacobs. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Journal of Biological Chemistry, The Journal of Comparative Neurology and Development.
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.