James A. Burch

20 papers receiving 1.2k citations

Peers

James A. Burch
Comparison fields: 5 of 118
  • Dermatology 365
  • Biochemistry 118
  • Cell Biology 277
  • Immunology 203
  • Oncology 232
Replace Giuseppe Fabrizi with:
Giuseppe Fabrizi Italy
Anny Fourtanier France
Valentina Mariani Italy
Craig A. Elmets United States
Joel S. Gordon United States
Emi Dika Italy
Wolfgang Gehring Germany
Theresa Ben United States
Pravit Asawanonda Thailand
Johanna Kempenaar Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by James A. Burch

Since Specialization
Citations

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

Fields of papers citing papers by James A. Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James A. Burch, 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 A. Burch Line = papers co-authored together James A. Burch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 1998198
3 2005161
4 2008161
5 2020133
6 199689
7 200859
8 199953
9 199031
10 201829
11 199020
12 199117
13 199714
14 199413
15 199813
16
A Domestic Intelligence Agency for the United States? A Comparative Analysis of Domestic Intelligence Agencies and Their Implications for Homeland Security
20077
17 19966
18 20194
19
The Domestic Intelligence Gap: Progress since 9/11?
20082
20 20061

About James A. Burch

James A. Burch is a scholar working on Immunology, Molecular Biology, Dermatology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include melanin and skin pigmentation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Skin Protection and Aging (3 papers), Immunotherapy and Immune Responses (3 papers), Mast cells and histamine (3 papers), Cell Adhesion Molecules Research (3 papers), Intelligence, Security, War Strategy (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Dermatology (365 citations), Biochemistry (118 citations), Cell Biology (277 citations), Immunology (203 citations) and Oncology (232 citations). James A. Burch has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include James M. Grichnik, Christopher R. Shea, Sheldon R. Pinnell, James L. Burchette, Jan Zielinski, Joshua A. Tournas, Nancy A. Monteiro‐Riviere, Carol E. Vervaert, Hilliard F. Seigler and Timothy L. Darrow. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Immunology, Journal of Dermatological Science, Journal of the American Academy of Dermatology and Photodermatology Photoimmunology & Photomedicine.

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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