W. Schüler
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments 9
- Immunology top 2%
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 6
- Oncology top 5%
- Physiology top 5%
- Surgery top 5%
- Transplantation: Methods and Outcomes 5
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- Monoclonal and Polyclonal Antibodies Research 6
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- Signaling Pathways in Disease 6
- Protein Kinase Regulation and GTPase Signaling 4
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- Eicosanoids and Hypertension Pharmacology 4
- Co-authors
- Melvin J. BosmaRichard SedraniSylvain CottensGerhard ZenkeRobert A. PhillipsIvan Jeanne WeilerHenk‐Jan SchuurmanManfred Schulz
- Cited by
- TransplantationImmunologyOncology
- Journals
- Transplantation (8 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)European Journal of Immunology (5 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
W. Schüler
68 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 110
- Transplantation 634
- Immunology 992
- Oncology 564
- Physiology 74
- Surgery 716
Countries citing papers authored by W. Schüler
This map shows the geographic impact of W. Schüler'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 W. Schüler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Schüler more than expected).
Fields of papers citing papers by W. Schüler
This network shows the impact of papers produced by W. Schüler. 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 W. Schüler. The network helps show where W. Schüler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W. Schüler, 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 | 2019 | 6 | |
| 2 | 2011 | 88 | |
| 3 | 2011 | 27 | |
| 4 | 2008 | 6 | |
| 5 | 2004 | 73 | |
| 6 | 2004 | 73 | |
| 7 | 2004 | 20 | |
| 8 | 2000 | 47 | |
| 9 | 2000 | 14 | |
| 10 | 2000 | 32 | |
| 11 | Note Synthetic modifications of ascomycin : Part IIIl - A concise transformation of iso ascomycin to 19, 20-seeo-derivatives | 1999 | 3 |
| 12 | 1999 | 4 | |
| 13 | 1999 | 7 | |
| 14 | 1999 | 114 | |
| 15 | 1997 | 476 | |
| 16 | 1997 | 13 | |
| 17 | 1996 | 52 | |
| 18 | 1994 | 1 | |
| 19 | 1991 | 69 | |
| 20 | 1984 | 20 |
About W. Schüler
W. Schüler is a scholar working on Transplantation, Immunology and Toxicology, having authored 68 papers that have together received 3.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Renal Transplantation Outcomes and Treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers), Signaling Pathways in Disease (6 papers), Transplantation: Methods and Outcomes (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Transplantation (634 citations), Immunology (992 citations) and Oncology (564 citations). W. Schüler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Melvin J. Bosma, Richard Sedrani, Sylvain Cottens, Gerhard Zenke, Robert A. Phillips, Ivan Jeanne Weiler, Henk‐Jan Schuurman, Manfred Schulz, Robert P. Perry and Hans‐Günter Zerwes. Their work appears in journals such as Transplantation, Bioorganic & Medicinal Chemistry Letters, European Journal of Immunology, The Journal of Immunology and Cellular and Molecular Life Sciences.
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.