William Schott
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Calcium signaling and nucleotide metabolism
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in ⓘ
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- Single-cell and spatial transcriptomics 1
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Co-authors
- Kevin D. Mills (3 shared papers)Derry C. Roopenian (3 shared papers)Edward H. Leiter (4 shared papers)Sonya Kamdar (1 shared paper)Priyam Singh (1 shared paper)Joel H. Graber (1 shared paper)Robert Y Wilpan (1 shared paper)Sarah Wright (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)Diabetes (1 paper)Disease Models & Mechanisms (1 paper)Journal of Neuroinflammation (1 paper)Experimental and Clinical Endocrinology & Diabetes (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
William Schott
13 papers receiving 496 citations
Peers
Comparison fields: 5 of 68
- Physiology 79
- Immunology 203
- Molecular Biology 228
- Rheumatology 45
- Genetics 83
Countries citing papers authored by William Schott
This map shows the geographic impact of William Schott'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 William Schott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Schott more than expected).
Fields of papers citing papers by William Schott
This network shows the impact of papers produced by William Schott. 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 William Schott. The network helps show where William Schott may publish in the future.
Co-authors
The 25 scholars most cited alongside William Schott, 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 | 2009 | 121 | |
| 2 | 2008 | 55 | |
| 3 | 2006 | 53 | |
| 4 | 2005 | 52 | |
| 5 | 2004 | 48 | |
| 6 | 2013 | 48 | |
| 7 | 2011 | 35 | |
| 8 | 2017 | 30 | |
| 9 | 2019 | 25 | |
| 10 | 2005 | 18 | |
| 11 | 2008 | 14 | |
| 12 | 2022 | 7 | |
| 13 | 2005 | 2 | |
| 14 | 1979 | 0 |
About William Schott
William Schott is a scholar working on Molecular Biology, Immunology, Surgery, Genetics and Oncology, having authored 14 papers that have together received 508 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Single-cell and spatial transcriptomics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Physiology (79 citations), Immunology (203 citations), Molecular Biology (228 citations), Rheumatology (45 citations) and Genetics (83 citations). William Schott has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Kevin D. Mills, Derry C. Roopenian, Edward H. Leiter, Sonya Kamdar, Priyam Singh, Joel H. Graber, Robert Y Wilpan, Sarah Wright, Friedrich Koch‐Nolte and Peter C. Reifsnyder. Their work appears in journals such as The Journal of Immunology, Diabetes, Disease Models & Mechanisms, Journal of Neuroinflammation and Experimental and Clinical Endocrinology & Diabetes.
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.