Leo T. Burka

138 total papers · 4.5k total citations
108 papers, 3.5k citations indexed

About

Leo T. Burka is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Leo T. Burka has authored 108 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cancer Research, 20 papers in Molecular Biology and 20 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Leo T. Burka's work include Carcinogens and Genotoxicity Assessment (23 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Effects and risks of endocrine disrupting chemicals (10 papers). Leo T. Burka is often cited by papers focused on Carcinogens and Genotoxicity Assessment (23 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Effects and risks of endocrine disrupting chemicals (10 papers). Leo T. Burka collaborates with scholars based in United States, Hong Kong and Taiwan. Leo T. Burka's co-authors include Cary Weinberger, Barry M. Forman, J. Michael Sanders, Jasmine Chen, Trevor C. McMorris, Ronald M. Evans, Anthony E. Oro, Elizabeth C. Goode, William W. Lamph and David J. Bradley and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Leo T. Burka

107 papers receiving 3.4k citations

Hit Papers

Identification of a nucle... 1995 2026 2005 2015 1995 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
Leo T. Burka 1.1k 791 603 555 543 108 3.5k
Dai Nakae 1.9k 1.7× 642 0.8× 688 1.1× 491 0.9× 858 1.6× 188 5.0k
Lisa M. Kamendulis 1.7k 1.6× 422 0.5× 580 1.0× 515 0.9× 696 1.3× 60 4.3k
Sophie Langouët 1.8k 1.7× 450 0.6× 316 0.5× 689 1.2× 807 1.5× 74 3.5k
Peramaiyan Rajendran 2.6k 2.4× 785 1.0× 390 0.6× 497 0.9× 643 1.2× 105 6.0k
Edward A. Lock 1.9k 1.8× 577 0.7× 624 1.0× 893 1.6× 833 1.5× 168 4.9k
Abraham Rivenson 2.0k 1.9× 666 0.8× 368 0.6× 354 0.6× 1.2k 2.2× 103 4.9k
Seiko Tamano 1.4k 1.3× 540 0.7× 480 0.8× 314 0.6× 1.4k 2.5× 144 3.8k
José Rueff 1.8k 1.7× 585 0.7× 416 0.7× 541 1.0× 1.1k 2.1× 174 4.0k
Raymond Novak 1.5k 1.4× 735 0.9× 394 0.7× 1.2k 2.2× 436 0.8× 140 3.8k
Peter Magee 2.6k 2.4× 489 0.6× 789 1.3× 462 0.8× 1.3k 2.3× 134 5.6k

Countries citing papers authored by Leo T. Burka

Since Specialization
Citations

This map shows the geographic impact of Leo T. Burka'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 Leo T. Burka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo T. Burka more than expected).

Fields of papers citing papers by Leo T. Burka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo T. Burka. 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 Leo T. Burka. The network helps show where Leo T. Burka may publish in the future.

Co-authorship network of co-authors of Leo T. Burka

This figure shows the co-authorship network connecting the top 25 collaborators of Leo T. Burka. A scholar is included among the top collaborators of Leo T. Burka 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 Leo T. Burka. Leo T. Burka 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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