Leo T. Burka

4.5k citations
108 papers · 3.5k indexed · 1 hit paper · h-index 30
Topics
Carcinogens and Genotoxicity Assessment (23 papers)Pharmacogenetics and Drug Metabolism (15 papers)Effects and risks of endocrine disrupting chemicals (10 papers)

In The Last Decade

Leo T. Burka

107 papers receiving 3.4k citations

Hit Papers

Identification of a nuclear receptor that is activated by...19952026200520151995250500750

Peers

Leo T. Burka
Comparison fields: 5 of 134
  • Molecular Biology 1.1k
  • Oncology 794
  • Health, Toxicology and Mutagenesis 607
  • Pharmacology 556
  • Cancer Research 543
Replace John H.N. Meerman with:
John H.N. Meerman Netherlands
William M. Bracken United States
Masakuni Degawa Japan
Dai Nakae Japan
Karl L. Platt Germany
James Winfred Bridges United Kingdom
Jay I. Goodman United States
Gopal Krishna United States
Wolfram Parzefall Austria
Raymond Novak United States
Leo T. Burka relative to John H.N. Meerman Netherlands John H.N. Meerman's profile →
Citations per field
00.5×1.5×2.2×
John H.N. Meerman · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 38
4 22
5 23
6 13
7 2
8 19
9 6
10 19
11 7
12 161
13
Identification of a nuclear receptor that is activated by farnesol metabolitesbreakdown →
989
14 21
15 36
16 12
17 5
18 15
19 45
20 1

About Leo T. Burka

Leo T. Burka is a scholar working on Pharmacology, Cancer Research and Biochemistry, having authored 108 papers that have together received 3.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (23 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Effects and risks of endocrine disrupting chemicals (10 papers). The work is most often cited by research in Pharmacology (556 citations), Health, Toxicology and Mutagenesis (607 citations) and Cancer Research (543 citations). Leo T. Burka has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Barry M. Forman, Cary Weinberger, J. Michael Sanders, Anthony E. Oro, Jasmine Chen, Trevor C. McMorris, Thomas Perlmann, Daniel J. Noonan, William W. Lamph and Ronald M. Evans. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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