Kate M. Vignali

6.5k citations
32 papers · 4.2k indexed · 1 hit paper · h-index 22
Topics
Immune Cell Function and Interaction (23 papers)T-cell and B-cell Immunology (18 papers)Immunotherapy and Immune Responses (11 papers)

In The Last Decade

Kate M. Vignali

31 papers receiving 4.1k citations

Hit Papers

The inhibitory cytokine IL-35 contributes to regulatory T...2007202620132019200750010001.5k

Peers

Kate M. Vignali
Comparison fields: 5 of 112
  • Immunology 3.0k
  • Oncology 1.2k
  • Molecular Biology 847
  • Genetics 340
  • Epidemiology 319
Replace Charles E. Egwuagu with:
Charles E. Egwuagu United States
Lars Rogge France
Birgitta Sander Sweden
Nitin J. Karandikar United States
Hironobu Asao Japan
Chris D. Platsoucas United States
Uta E. Höpken Germany
Satoru Kumaki Japan
Yuqiong Liang United States
Franak Batliwalla United States
Kate M. Vignali relative to Charles E. Egwuagu United States Charles E. Egwuagu's profile →
Citations per field
00.5×1.5×2.3×
Charles E. Egwuagu · 1×
Citations per year

Countries citing papers authored by Kate M. Vignali

Since Specialization
Citations

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

Fields of papers citing papers by Kate M. Vignali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate M. Vignali. 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 Kate M. Vignali. The network helps show where Kate M. Vignali may publish in the future.

Co-authorship network of co-authors of Kate M. Vignali

This figure shows the co-authorship network connecting the top 25 collaborators of Kate M. Vignali. A scholar is included among the top collaborators of Kate M. Vignali 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 Kate M. Vignali. Kate M. Vignali 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 0
2 37
3 127
4 9
5 101
6 266
7 120
8 35
9 34
10 181
11 357
12 212
13
The inhibitory cytokine IL-35 contributes to regulatory T-cell functionbreakdown →
1553
14 127
15 216
16 60
17 5
18 26
19 45
20 147

About Kate M. Vignali

Kate M. Vignali is a scholar working on Immunology, Oncology and Cancer Research, having authored 32 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (18 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Immunology (3.0k citations), Oncology (1.2k citations) and Immunology and Allergy (117 citations). Kate M. Vignali has collaborated with scholars based in United States, Austria and Nepal. Frequent co-authors include Dario A.A. Vignali, Creg J. Workman, Lauren W. Collison, Richard S. Blumberg, David Sehy, Richard Cross, Yao Wang, Kelli L. Boyd, Timothy Kuo and Andrea L. Szymczak-Workman. Their work appears in journals such as Nature, Journal of Biological Chemistry and The EMBO 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.

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