James R. Burke

4.2k citations
55 papers · 2.3k indexed · h-index 24
    • NF-κB Signaling Pathways 16
  • Immunology top 5%
    • Immune Response and Inflammation 10
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions 11
    • Protein Kinase Regulation and GTPase Signaling 10
    • PI3K/AKT/mTOR signaling in cancer 4
    • Lipid Membrane Structure and Behavior 3
  • Toxicology top 5%
    • Chronic Lymphocytic Leukemia Research 8
    • Cellular transport and secretion 6

James R. Burke

54 papers receiving 2.3k citations

Peers

James R. Burke
Comparison fields: 5 of 111
  • Cancer Research 740
  • Immunology 738
  • Oncology 538
  • Molecular Biology 1.1k
  • Toxicology 51
Replace Jian‐kang Jiang with:
Jian‐kang Jiang United States
Jeffrey T. Laydon United States
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Ivo R. Siemens United States
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Hong‐Duck Um South Korea
Sandra E. Wilkinson United Kingdom
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James R. Burke relative to Jian‐kang Jiang United States Jian‐kang Jiang's profile →
Citations per field
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Citations per year

Countries citing papers authored by James R. Burke

Since Specialization
Citations

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

Fields of papers citing papers by James R. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Burke. 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 James R. Burke. The network helps show where James R. Burke may publish in the future.

Co-authorship network

The 25 scholars most cited alongside James R. Burke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James R. Burke Line = papers co-authored together James R. Burke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20199
2 201747
3 201584
4 201234
5 2011120
6 20107
7 200773
8 200726
9 2006199
10 200645
11 200610
12 200420
13 20026
14 20023
15 199913
16 199913
17 199913
18 19982
19 199830
20 19912

About James R. Burke

James R. Burke is a scholar working on Cancer Research, Genetics and Immunology, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (16 papers), Cytokine Signaling Pathways and Interactions (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Immune Response and Inflammation (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Cellular transport and secretion (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Cancer Research (740 citations), Immunology (738 citations) and Oncology (538 citations). James R. Burke has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Joann Strnad, Kurt R. Gregor, Mark A. Pattoli, Yuping Qiu, F. Christopher Zusi, Kim W. McIntyre, John F. MacMaster, Patrick Brassil, Wendy Clarke and Xiaoxia Yang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Medicine.

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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