Jeffrey C. Boehm

3.7k citations
35 papers · 2.9k indexed · 1 hit paper · h-index 19

Jeffrey C. Boehm

35 papers receiving 2.7k citations

Hit Papers

p38 MAP kinases: key signalling molecules as therapeutic ...200320262010201820032505007501000

Peers

Jeffrey C. Boehm
Comparison fields: 5 of 108
  • Molecular Biology 1.8k
  • Organic Chemistry 923
  • Oncology 648
  • Computational Theory and Mathematics 286
  • Immunology 278
Replace Christoph Schächtele with:
Christoph Schächtele Germany
Sophie Leclerc France
Stefania Sarno Italy
Jacqueline Plowman United States
York Tomita United States
Michelle F. Browner United States
Louis Malspeis United States
Robert T. Nolte United States
John K. Buolamwini United States
Lawrence M. Ballas United States
Jeffrey C. Boehm relative to Christoph Schächtele Germany Christoph Schächtele's profile →
Citations per field
00.5×1.5×2.2×
Christoph Schächtele · 1×
Citations per year

Countries citing papers authored by Jeffrey C. Boehm

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey C. Boehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey C. Boehm. 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 Jeffrey C. Boehm. The network helps show where Jeffrey C. Boehm may publish in the future.

Co-authorship network of co-authors of Jeffrey C. Boehm

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Boehm. A scholar is included among the top collaborators of Jeffrey C. Boehm 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 Jeffrey C. Boehm. Jeffrey C. Boehm 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 8
2
p38 MAP kinases: key signalling molecules as therapeutic targets for inflammatory diseasesbreakdown →
1014
3 23
4 34
5 89
6 186
7 66
8 88
9 358
10 10
11 14
12 3
13 12
14 26
15 58
16 38
17 23
18 62
19 34
20 10

About Jeffrey C. Boehm

Jeffrey C. Boehm is a scholar working on Organic Chemistry, Molecular Biology and Microbiology, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Chemical Synthesis and Analysis (7 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Toxicology (165 citations), Organic Chemistry (923 citations) and Molecular Biology (1.8k citations). Jeffrey C. Boehm has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John C. Lee, Sanjay Kumar, Jerry L. Adams, William D. Kingsbury, Sherin S. Abdel‐Meguid, Kenneth G. Holden, Bertram Canagarajah, Mary Jo Caranfa, Melanie H. Cobb and Dalia R. Jakas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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