Thomas N. Kledal

22 total papers · 1.3k total citations
16 papers, 979 citations indexed

About

Thomas N. Kledal is a scholar working on Epidemiology, Immunology and Oncology. According to data from OpenAlex, Thomas N. Kledal has authored 16 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Immunology and 5 papers in Oncology. Recurrent topics in Thomas N. Kledal's work include Cytomegalovirus and herpesvirus research (11 papers), Herpesvirus Infections and Treatments (8 papers) and Chemokine receptors and signaling (5 papers). Thomas N. Kledal is often cited by papers focused on Cytomegalovirus and herpesvirus research (11 papers), Herpesvirus Infections and Treatments (8 papers) and Chemokine receptors and signaling (5 papers). Thomas N. Kledal collaborates with scholars based in Denmark, United Kingdom and United States. Thomas N. Kledal's co-authors include Thue W. Schwartz, Mette M. Rosenkilde, Mark Marsh, Annegret Pelchen–Matthews, Alberto Fraile‐Ramos, Maria Waldhoer, Helen E. Farrell, Katja Spieß, Katherine Bowers and Helena Browne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Thomas N. Kledal

16 papers receiving 966 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas N. Kledal 620 353 286 246 100 16 979
Margret Müller 311 0.5× 492 1.4× 166 0.6× 400 1.6× 78 0.8× 10 869
Victoria L. Crotzer 260 0.4× 485 1.4× 90 0.3× 323 1.3× 45 0.5× 13 806
Thomas N. Kledal 438 0.7× 445 1.3× 598 2.1× 264 1.1× 29 0.3× 15 1.2k
Ronald R. Nepomuceno 329 0.5× 454 1.3× 281 1.0× 270 1.1× 55 0.6× 20 1.1k
Jill Hénault 375 0.6× 575 1.6× 171 0.6× 326 1.3× 31 0.3× 14 1.2k
Olivier Pleskoff 395 0.6× 496 1.4× 234 0.8× 198 0.8× 41 0.4× 13 983
Joseph Bekisz 203 0.3× 439 1.2× 283 1.0× 350 1.4× 18 0.2× 24 911
Voahirana Camosseto 269 0.4× 541 1.5× 82 0.3× 500 2.0× 63 0.6× 18 1.0k
Kazushi Nakano 544 0.9× 169 0.5× 473 1.7× 137 0.6× 45 0.5× 34 848
Tracey A. Haigh 464 0.7× 701 2.0× 753 2.6× 173 0.7× 41 0.4× 26 1.2k

Countries citing papers authored by Thomas N. Kledal

Since Specialization
Citations

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

Fields of papers citing papers by Thomas N. Kledal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas N. Kledal. 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 Thomas N. Kledal. The network helps show where Thomas N. Kledal may publish in the future.

Co-authorship network of co-authors of Thomas N. Kledal

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

All Works

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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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