Steven K. Lundy

85 total papers · 4.3k total citations
59 papers, 3.5k citations indexed

About

Steven K. Lundy is a scholar working on Immunology, Rheumatology and Oncology. According to data from OpenAlex, Steven K. Lundy has authored 59 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 11 papers in Rheumatology and 10 papers in Oncology. Recurrent topics in Steven K. Lundy's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (13 papers). Steven K. Lundy is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (13 papers). Steven K. Lundy collaborates with scholars based in United States, China and Hungary. Steven K. Lundy's co-authors include David A. Fox, Laura Tesmer, Sujata Sarkar, Nicholas W. Lukacs, Matthew W. Klinker, Dov L. Boros, Qi Wu, Yang Mao‐Draayer, Chinh Tran and Catherine Dowling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Steven K. Lundy

58 papers receiving 3.4k citations

Hit Papers

Th17 cells in human disease 2008 2026 2014 2020 2008 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Steven K. Lundy 1.8k 781 499 486 383 59 3.5k
Hiroki Mitoma 1.3k 0.7× 759 1.0× 319 0.6× 715 1.5× 269 0.7× 68 2.9k
Tracy L. McGaha 2.6k 1.4× 1.3k 1.7× 798 1.6× 357 0.7× 319 0.8× 74 4.3k
Gary P. Sims 2.5k 1.4× 934 1.2× 475 1.0× 582 1.2× 902 2.4× 44 4.9k
Steven J. Padula 1.7k 0.9× 545 0.7× 302 0.6× 498 1.0× 322 0.8× 44 2.9k
Elisabetta Volpe 1.7k 0.9× 750 1.0× 391 0.8× 216 0.4× 332 0.9× 60 3.1k
Constantine D. Tsoukas 2.0k 1.1× 770 1.0× 822 1.6× 325 0.7× 824 2.2× 84 3.7k
Marcel F. Nold 2.5k 1.4× 1.5k 1.9× 577 1.2× 338 0.7× 290 0.8× 71 4.5k
Samuel J. Goldman 2.2k 1.2× 570 0.7× 549 1.1× 261 0.5× 285 0.7× 46 3.7k
Anwen S. Williams 1.8k 1.0× 911 1.2× 1.1k 2.1× 823 1.7× 215 0.6× 86 3.9k
Nicholas J. Wilson 2.1k 1.2× 534 0.7× 443 0.9× 296 0.6× 300 0.8× 37 2.9k

Countries citing papers authored by Steven K. Lundy

Since Specialization
Citations

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

Fields of papers citing papers by Steven K. Lundy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven K. Lundy. 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 Steven K. Lundy. The network helps show where Steven K. Lundy may publish in the future.

Co-authorship network of co-authors of Steven K. Lundy

This figure shows the co-authorship network connecting the top 25 collaborators of Steven K. Lundy. A scholar is included among the top collaborators of Steven K. Lundy 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 Steven K. Lundy. Steven K. Lundy 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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