Walter Reith
- Immunology top 0.1%
- Immune Cell Function and Interaction 78
- T-cell and B-cell Immunology 77
- Immunotherapy and Immune Responses 53
- Immunodeficiency and Autoimmune Disorders 24
- Immune Response and Inflammation 18
- Cancer Research top 1%
- NF-κB Signaling Pathways 8
- Molecular Biology top 1%
- RNA Interference and Gene Delivery 7
- RNA and protein synthesis mechanisms 7
- Oncology top 1%
- Genetics top 1%
- Co-authors
- Bernard MachBjörn E. ClausenIrmgard FörsterEmmanuèle BarrasChristoph BurkhardtRainer RenkawitzViktor SteimleBénédicte Durand
- Journals
- Molecular and Cellular Biology (21 papers)The Journal of Immunology (13 papers)Nucleic Acids Research (9 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Walter Reith
156 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 7.7k
- Cancer Research 1.4k
- Molecular Biology 5.1k
- Oncology 1.7k
- Genetics 1.7k
Countries citing papers authored by Walter Reith
This map shows the geographic impact of Walter Reith'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 Walter Reith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Reith more than expected).
Fields of papers citing papers by Walter Reith
This network shows the impact of papers produced by Walter Reith. 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 Walter Reith. The network helps show where Walter Reith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Walter Reith, 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 | 2022 | 2 | |
| 2 | 2019 | 75 | |
| 3 | 2016 | 46 | |
| 4 | Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria–specific CD4 + T cellsbreakdown → | 2015 | 378 |
| 5 | 2014 | 53 | |
| 6 | 2012 | 165 | |
| 7 | 2012 | 10 | |
| 8 | 2011 | 1 | |
| 9 | 2010 | 108 | |
| 10 | 2006 | 31 | |
| 11 | 2005 | 14 | |
| 12 | 2004 | 54 | |
| 13 | 2004 | 23 | |
| 14 | 2001 | 27 | |
| 15 | 2000 | 36 | |
| 16 | 1999 | 23 | |
| 17 | 1998 | 125 | |
| 18 | 1996 | 12 | |
| 19 | 1994 | 133 | |
| 20 | 1992 | 16 |
About Walter Reith
Walter Reith is a scholar working on Immunology, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 157 papers that have together received 13.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (78 papers), T-cell and B-cell Immunology (77 papers), Immunotherapy and Immune Responses (53 papers), Immunodeficiency and Autoimmune Disorders (24 papers), Immune Response and Inflammation (18 papers), NF-κB Signaling Pathways (8 papers), RNA Interference and Gene Delivery (7 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Immunology (7.7k citations), Cancer Research (1.4k citations), Molecular Biology (5.1k citations), Oncology (1.7k citations) and Genetics (1.7k citations). Walter Reith has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Bernard Mach, Björn E. Clausen, Irmgard Förster, Emmanuèle Barras, Christoph Burkhardt, Rainer Renkawitz, Viktor Steimle, Bénédicte Durand, Jean‐Marc Waldburger and Krzysztof Masternak. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Nucleic Acids Research, European Journal of Immunology and The Journal of Experimental Medicine.
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.