William M. Sallas
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- Diabetes Treatment and Management 4
- Hematology top 10%
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- Drug Transport and Resistance Mechanisms 2
- Peptidase Inhibition and Analysis 2
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- Allergic Rhinitis and Sensitization 2
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- Antibiotics Pharmacokinetics and Efficacy 2
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- Target Tracking and Data Fusion in Sensor Networks 2
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- Asthma and respiratory diseases 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Monica Ligueros‐SaylanJames E. FoleyYanling HeC. E. WatsonJens J. HolstCarolyn F. DeaconPhilip J. LoweBeth E. Dunning
- Journals
- Journal of the American Statistical Association (3 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
William M. Sallas
19 papers receiving 722 citations
Peers
Comparison fields: 5 of 100
- Endocrinology, Diabetes and Metabolism 309
- Hematology 71
- Genetics 66
- Oncology 162
- Immunology and Allergy 31
Countries citing papers authored by William M. Sallas
This map shows the geographic impact of William M. Sallas'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 M. Sallas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Sallas more than expected).
Fields of papers citing papers by William M. Sallas
This network shows the impact of papers produced by William M. Sallas. 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 M. Sallas. The network helps show where William M. Sallas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William M. Sallas, 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 | 2018 | 11 | |
| 2 | 2018 | 11 | |
| 3 | 2012 | 67 | |
| 4 | 2010 | 43 | |
| 5 | 2010 | 8 | |
| 6 | 2009 | 3 | |
| 7 | 2009 | 11 | |
| 8 | 2007 | 2 | |
| 9 | 2006 | 141 | |
| 10 | 2006 | 5 | |
| 11 | 2005 | 324 | |
| 12 | 2005 | 5 | |
| 13 | 2003 | 39 | |
| 14 | 1995 | 9 | |
| 15 | 1995 | 6 | |
| 16 | 1993 | 27 | |
| 17 | 1988 | 1 | |
| 18 | 1981 | 40 | |
| 19 | 1981 | 5 |
About William M. Sallas
William M. Sallas is a scholar working on Transplantation, Immunology and Allergy and Statistics and Probability, having authored 19 papers that have together received 758 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Drug Transport and Resistance Mechanisms (2 papers), Allergic Rhinitis and Sensitization (2 papers), Peptidase Inhibition and Analysis (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Asthma and respiratory diseases (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (309 citations), Hematology (71 citations) and Genetics (66 citations). William M. Sallas has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Monica Ligueros‐Saylan, James E. Foley, Yanling He, C. E. Watson, Jens J. Holst, Carolyn F. Deacon, Philip J. Lowe, Beth E. Dunning, Andrea Mari and Yuko Tsukamoto. Their work appears in journals such as Journal of the American Statistical Association, The Journal of Clinical Endocrinology & Metabolism and Journal of Allergy and Clinical Immunology.
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.