Kevin Quann

1.1k total citations · 1 hit paper
19 papers, 544 citations indexed

About

Kevin Quann is a scholar working on Immunology, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Kevin Quann has authored 19 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Kevin Quann's work include T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Caveolin-1 and cellular processes (4 papers). Kevin Quann is often cited by papers focused on T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Caveolin-1 and cellular processes (4 papers). Kevin Quann collaborates with scholars based in United States, United Kingdom and Italy. Kevin Quann's co-authors include Zafar K. Khan, Isidore Rigoutsos, Donna Gonzales, Isabelle Le Mercier, Michael P. Lisanti, Brian Wigdahl, Jaya Ahuja, Pooja Jain, Eric Londin and Peter Clark and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Kevin Quann

17 papers receiving 532 citations

Hit Papers

Dysfunction of exhausted T cells is enforced by MCT11-med... 2024 2026 2025 2024 20 40 60

Peers

Kevin Quann
Comparison fields: 5 of 73
  • Molecular Biology 309
  • Cancer Research 168
  • Immunology 154
  • Cell Biology 74
  • Agronomy and Crop Science 72
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Citations per field, relative to Kevin Quann
Kevin Quann · 1×
Citations per year, relative to Kevin Quann
Kevin Quann · 1×

Countries citing papers authored by Kevin Quann

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Quann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Quann. 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 Kevin Quann. The network helps show where Kevin Quann may publish in the future.

Co-authorship network of co-authors of Kevin Quann

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 2
4
Dysfunction of exhausted T cells is enforced by MCT11-mediated lactate metabolism breakdown →
67
5 1
6 4
7 18
8 27
9 26
10 75
11 12
12 39
13 88
14 35
15 46
16 0
17
Abstract 14567: Caveolin-1 Deficiency Exacerbates Cardiac Dysfunction and Reduces Survival in Mice with Myocardial Infarction
1
18 69
19 33

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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