Leonard D. Shultz
- Immunology top 0.05%
- Immune Cell Function and Interaction 108
- T-cell and B-cell Immunology 83
- Immunotherapy and Immune Responses 64
- Immune Response and Inflammation 31
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation 39
- Oncology top 0.1%
- Genetics top 0.1%
- Diabetes and associated disorders 45
- Virus-based gene therapy research 34
- Virology top 0.5%
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- Pancreatic function and diabetes 40
- Co-authors
- Dale L. GreinerMichael A. BrehmFumihiko IshikawaEdward H. LeiterBruce GottBonnie LyonsT. V. RajanSherri W. Christianson
- Cited by
- ImmunologyHematologyOncology
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Leonard D. Shultz
448 papers receiving 31.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Immunology 14.0k
- Hematology 4.8k
- Oncology 7.9k
- Genetics 2.8k
- Virology 1.0k
Countries citing papers authored by Leonard D. Shultz
This map shows the geographic impact of Leonard D. Shultz'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 Leonard D. Shultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard D. Shultz more than expected).
Fields of papers citing papers by Leonard D. Shultz
This network shows the impact of papers produced by Leonard D. Shultz. 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 Leonard D. Shultz. The network helps show where Leonard D. Shultz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leonard D. Shultz, 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 | 2024 | 5 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 8 | |
| 5 | 2020 | 4 | |
| 6 | 2018 | 6 | |
| 7 | 2017 | 12 | |
| 8 | 2014 | 116 | |
| 9 | 2012 | 54 | |
| 10 | 2010 | 98 | |
| 11 | 2010 | 74 | |
| 12 | 2010 | 57 | |
| 13 | 2008 | 122 | |
| 14 | 2005 | 74 | |
| 15 | 2001 | 159 | |
| 16 | 2000 | 67 | |
| 17 | 1999 | 61 | |
| 18 | Multiple defects in innate and adaptive immunologic function in NOD/LtSz- scid mice.breakdown → | 1995 | 972 |
| 19 | Identification of Pneumocystis carinii in immunodeficient mice. | 1989 | 14 |
| 20 | Motheaten, an immunodeficient mutant of the mouse. II. Depressed immune competence and elevated serum immunoglobulins. | 1976 | 145 |
About Leonard D. Shultz
Leonard D. Shultz is a scholar working on Immunology, Hematology and Genetics, having authored 452 papers that have together received 32.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (108 papers), T-cell and B-cell Immunology (83 papers), Immunotherapy and Immune Responses (64 papers), Diabetes and associated disorders (45 papers), Pancreatic function and diabetes (40 papers), Hematopoietic Stem Cell Transplantation (39 papers), Virus-based gene therapy research (34 papers) and Immune Response and Inflammation (31 papers). The work is most often cited by research in Immunology (14.0k citations), Hematology (4.8k citations) and Oncology (7.9k citations). Leonard D. Shultz has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Dale L. Greiner, Michael A. Brehm, Fumihiko Ishikawa, Edward H. Leiter, Bruce Gott, Bonnie Lyons, T. V. Rajan, Sherri W. Christianson, Lisa Burzenski and Hisahiro Yoshida. Their work appears in journals such as The Journal of Immunology, Blood, Diabetes, Infection and Immunity and The FASEB Journal.
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.