Noelle B. Patterson

8.8k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Noelle B. Patterson is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Noelle B. Patterson has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Noelle B. Patterson's work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers) and Pancreatic function and diabetes (6 papers). Noelle B. Patterson is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers) and Pancreatic function and diabetes (6 papers). Noelle B. Patterson collaborates with scholars based in United States, Australia and Germany. Noelle B. Patterson's 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 and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Noelle B. Patterson

28 papers receiving 1.4k citations

Hit Papers

Treatment with humanized monoclonal antibody against CD15... 1999 2026 2008 2017 1999 200 400 600

Peers

Noelle B. Patterson
Comparison fields: 5 of 77
  • Immunology 739
  • Surgery 482
  • Transplantation 344
  • Genetics 278
  • Molecular Biology 256
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A S Rao United States
R P Lowry United States
Mahzuz Karim United Kingdom
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Věra Hauptfeld United States
S Sawada Japan
Jean Leif United States
Jeroen van Bergen Netherlands
Daniela C. Kroy Germany
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Citations per field, relative to Noelle B. Patterson
Noelle B. Patterson · 1×
Citations per year, relative to Noelle B. Patterson
Noelle B. Patterson · 1×

Countries citing papers authored by Noelle B. Patterson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Noelle B. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Noelle B. Patterson. A scholar is included among the top collaborators of Noelle B. Patterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noelle B. Patterson. Noelle B. Patterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 48
4 32
5 30
6 25
7 32
8 47
9 21
10 20
11 77
12 29
13 56
14 28
15 108
16 15
17 3
18
Treatment with humanized monoclonal antibody against CD154 prevents acute renal allograft rejection in nonhuman primates breakdown →
666
19 61
20 35

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.

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