Cynthia R. Willis

3.9k citations
16 papers · 3.3k indexed · 2 hit papers · h-index 14
Topics
T-cell and B-cell Immunology (6 papers)Immune Cell Function and Interaction (5 papers)Dermatology and Skin Diseases (3 papers)

In The Last Decade

Cynthia R. Willis

16 papers receiving 3.2k citations

Hit Papers

Reversible Defects in Natural Killer and Memory Cd8 T Cel...1998202620072016200019984008001.2k

Peers

Cynthia R. Willis
Comparison fields: 5 of 100
  • Immunology 2.3k
  • Molecular Biology 734
  • Oncology 733
  • Epidemiology 317
  • Cancer Research 219
Replace Meike Mitsdoerffer with:
Meike Mitsdoerffer Germany
Blair R. Renshaw United States
Jessica Foster United States
Valérie Wittamer Belgium
Sonia Berrih‐Aknin France
Dorothy K. Sojka United States
Hervé Luche France
Odile Devergne France
Elisabeth Suri‐Payer Germany
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Cynthia R. Willis relative to Meike Mitsdoerffer Germany Meike Mitsdoerffer's profile →
Citations per field
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Meike Mitsdoerffer · 1×
Citations per year

Countries citing papers authored by Cynthia R. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Cynthia R. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cynthia R. Willis. 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 Cynthia R. Willis. The network helps show where Cynthia R. Willis may publish in the future.

Co-authorship network of co-authors of Cynthia R. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Cynthia R. Willis. A scholar is included among the top collaborators of Cynthia R. Willis 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 Cynthia R. Willis. Cynthia R. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 52
2 6
3 30
4 40
5 74
6 1
7 65
8 41
9 283
10 100
11 86
12 50
13
Reversible Defects in Natural Killer and Memory Cd8 T Cell Lineages in Interleukin 15–Deficient Micebreakdown →
1352
14
TNF Receptor-Deficient Mice Reveal Divergent Roles for p55 and p75 in Several Models of Inflammationbreakdown →
604
15 482
16 26

About Cynthia R. Willis

Cynthia R. Willis is a scholar working on Immunology, Dermatology and Rheumatology, having authored 16 papers that have together received 3.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Immunology (2.3k citations), Oncology (733 citations) and Dermatology (189 citations). Cynthia R. Willis has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Jacques J. Peschon, Moira Glaccum, K Charrier, Kim L. Stocking, Philip Morrissey, Mary K. Kennedy, Carol B. Ware, Sebastian Joyce, Eric Butz and Naoto Matsuki. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of 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.

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