Guy Werlen
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
- Cytokine Signaling Pathways and Interactions
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Signaling Pathways in Disease 3
- Glycosylation and Glycoproteins Research 3
- Immunology 14
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 5
- Co-authors
- Ed Palmer (6 shared papers)Barbara Hausmann (3 shared papers)Estela Jacinto (12 shared papers)Mark A. Daniëls (2 shared papers)Nicholas R. J. Gascoigne (2 shared papers)Dieter Naeher (1 shared paper)Emma Teixeiro (1 shared paper)Jason Gill (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Immunity (2 papers)Nature (2 papers)Molecular Pharmacology (2 papers)Genes (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Guy Werlen
26 papers receiving 2.1k citations
Guy Werlen's Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 1.3k
- Oncology 427
- Cancer Research 230
- Immunology and Allergy 87
- Molecular Biology 972
Countries citing papers authored by Guy Werlen
This map shows the geographic impact of Guy Werlen'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 Guy Werlen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Werlen more than expected).
Fields of papers citing papers by Guy Werlen
This network shows the impact of papers produced by Guy Werlen. 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 Guy Werlen. The network helps show where Guy Werlen may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Werlen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 459 | |
| 2 | 1998 | 242 | |
| 3 | 2001 | 202 | |
| 4 | 2003 | 198 | |
| 5 | 2000 | 164 | |
| 6 | 1998 | 117 | |
| 7 | 2016 | 109 | |
| 8 | 2002 | 106 | |
| 9 | The Hexosamine Biosynthesis Pathway: Regulation and Function Hit paper breakdown → | 2023 | 99 |
| 10 | 2006 | 95 | |
| 11 | 2011 | 75 | |
| 12 | 1993 | 66 | |
| 13 | 2018 | 39 | |
| 14 | 1999 | 30 | |
| 15 | 2021 | 26 | |
| 16 | 1990 | 25 | |
| 17 | 2014 | 21 | |
| 18 | 1989 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2020 | 12 |
About Guy Werlen
Guy Werlen is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Surgery, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (10 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Immunotherapy and Immune Responses (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Signaling Pathways in Disease (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (427 citations), Cancer Research (230 citations), Immunology and Allergy (87 citations) and Molecular Biology (972 citations). Guy Werlen has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Ed Palmer, Barbara Hausmann, Estela Jacinto, Mark A. Daniëls, Nicholas R. J. Gascoigne, Dieter Naeher, Emma Teixeiro, Jason Gill, Georg A. Holländer and Kaisa Holmberg. Their work appears in journals such as Journal of Biological Chemistry, Immunity, Nature, Molecular Pharmacology and Genes.
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.