Noelle B. Patterson
- Transplantation top 1%
- Immunology top 5%
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 6
- Surgery top 10%
- Pancreatic function and diabetes 6
- Genetics top 10%
- Diabetes and associated disorders 5
- Virology top 10%
- HIV Research and Treatment 4
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- Malaria Research and Control 6
- Mosquito-borne diseases and control 4
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- vaccines and immunoinformatics approaches 5
- Co-authors
- David M. HarlanAllan D. KirkJustin D. BerningDouglas K. TadakiRobert L. KampenD. Scott BattyLinda C. BurklyStuart J. Knechtle
- Cited by
- TransplantationImmunologySurgery
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Noelle B. Patterson
28 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Transplantation 344
- Immunology 739
- Surgery 482
- Genetics 278
- Virology 45
Countries citing papers authored by Noelle B. Patterson
This map shows the geographic impact of Noelle B. Patterson'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 Noelle B. Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelle B. Patterson more than expected).
Fields of papers citing papers by Noelle B. Patterson
This network shows the impact of papers produced by Noelle B. Patterson. 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 Noelle B. Patterson. The network helps show where Noelle B. Patterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noelle B. Patterson, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2017 | 48 | |
| 4 | 2015 | 32 | |
| 5 | 2012 | 30 | |
| 6 | 2011 | 25 | |
| 7 | 2010 | 32 | |
| 8 | 2005 | 47 | |
| 9 | 2004 | 21 | |
| 10 | 2004 | 20 | |
| 11 | 2003 | 77 | |
| 12 | 2002 | 29 | |
| 13 | 2002 | 56 | |
| 14 | 2001 | 28 | |
| 15 | 2001 | 108 | |
| 16 | 2001 | 15 | |
| 17 | 2000 | 3 | |
| 18 | Treatment with humanized monoclonal antibody against CD154 prevents acute renal allograft rejection in nonhuman primatesbreakdown → | 1999 | 666 |
| 19 | 1997 | 61 | |
| 20 | 1996 | 35 |
About Noelle B. Patterson
Noelle B. Patterson is a scholar working on Transplantation, Virology and Immunology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers), Pancreatic function and diabetes (6 papers), Malaria Research and Control (6 papers), vaccines and immunoinformatics approaches (5 papers), Diabetes and associated disorders (5 papers), HIV Research and Treatment (4 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Transplantation (344 citations), Immunology (739 citations) and Surgery (482 citations). Noelle B. Patterson has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include David M. Harlan, Allan D. Kirk, Justin D. Berning, Douglas K. Tadaki, Robert L. Kampen, D. Scott Batty, Linda C. Burkly, Stuart J. Knechtle, K D Buchanan and S. John Swanson. Their work appears in journals such as Transplantation, PLoS ONE, Vaccine, The Journal of Immunology and 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.