Denise L. Faustman

4.1k citations
83 papers · 3.1k indexed · h-index 28
Topics
Diabetes and associated disorders (47 papers)Immune Cell Function and Interaction (23 papers)T-cell and B-cell Immunology (17 papers)

In The Last Decade

Denise L. Faustman

82 papers receiving 3.0k citations

Peers

Denise L. Faustman
Comparison fields: 5 of 111
  • Immunology 1.5k
  • Genetics 1.2k
  • Surgery 890
  • Molecular Biology 724
  • Endocrinology, Diabetes and Metabolism 593
Replace Miguel Fernández‐Arquero with:
Miguel Fernández‐Arquero Spain
William M. Ridgway United States
Maki Nakayama United States
William A. Rudert United States
Roberto Mallone France
Terry L. Delovitch Canada
Владимир Субботин United States
Kyeong Cheon Jung South Korea
Shiro Nozawa Japan
Ken Coppieters United States
Denise L. Faustman relative to Miguel Fernández‐Arquero Spain Miguel Fernández‐Arquero's profile →
Citations per field
00.5×4.9×
Miguel Fernández‐Arquero · 1×
Citations per year

Countries citing papers authored by Denise L. Faustman

Since Specialization
Citations

This map shows the geographic impact of Denise L. Faustman'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 Denise L. Faustman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise L. Faustman more than expected).

Fields of papers citing papers by Denise L. Faustman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise L. Faustman. 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 Denise L. Faustman. The network helps show where Denise L. Faustman may publish in the future.

Co-authorship network of co-authors of Denise L. Faustman

This figure shows the co-authorship network connecting the top 25 collaborators of Denise L. Faustman. A scholar is included among the top collaborators of Denise L. Faustman 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 Denise L. Faustman. Denise L. Faustman 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
#WorkIndexed citations
1 1
2 3
3 19
4 23
5 14
6 20
7 1
8 42
9 1
10 112
11 12
12 3
13 13
14 130
15 66
16 7
17 29
18 16
19 10
20 5

About Denise L. Faustman

Denise L. Faustman is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 83 papers that have together received 3.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (47 papers), Immune Cell Function and Interaction (23 papers) and T-cell and B-cell Immunology (17 papers). The work is most often cited by research in Immunology (1.5k citations), Genetics (1.2k citations) and Endocrinology, Diabetes and Metabolism (593 citations). Denise L. Faustman has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Miriam Davis, Willem M. Kühtreiber, Shohta Kodama, Takuma Hayashi, E Dale, Hui Zheng, Satoshi Fujimura, Limei Wang, David Schoenfeld and Douglas C. Burger. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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