Jeffrey Tom

2.9k citations
21 papers · 1.8k · h-index 16

Impact in

  • Neurology top 2%
    • Barrier Structure and Function Studies
    • Chemical Synthesis and Analysis
    • Biochemical and Structural Characterization
    • Connexins and lens biology
    • Gut microbiota and health

Papers in

    • Chemical Synthesis and Analysis 7
    • Glycosylation and Glycoproteins Research 2
    • Biochemical and Structural Characterization 2
    • Peptidase Inhibition and Analysis 3

Jeffrey Tom

21 papers receiving 1.7k citations

Peers

Jeffrey Tom
Comparison fields: 5 of 104
  • Neurology 320
  • Molecular Biology 1.3k
  • Virology 69
  • Oncology 284
  • Biotechnology 90
Replace Jun‐ichi Furukawa with:
Jun‐ichi Furukawa Japan
John Eldredge United States
Akira Kobata Japan
Michael D. Scholle United States
Frank J. Schoenen United States
Sunghyun Kang South Korea
Piliang Hao China
Thomas A. Rano United States
Dexian Zheng China
Yiqing Yang China
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Citations per field
00.5×5.3×
Jun‐ichi Furukawa · 1×
Citations per year

Countries citing papers authored by Jeffrey Tom

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Tom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002309
2 1994230
3 1991185
4 2000164
5 1998155
6 2013127
7 1997112
8 2019100
9 201276
10 200559
11 200255
12 199554
13 199645
14 201231
15 199428
16 201420
17 202210
18 20143
19 20152
20 20211

About Jeffrey Tom

Jeffrey Tom is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Neurology and Surgery, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Barrier Structure and Function Studies (3 papers), Peptidase Inhibition and Analysis (3 papers), Computational Drug Discovery Methods (2 papers), Cell Adhesion Molecules Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Neurology (320 citations), Molecular Biology (1.3k citations), Virology (69 citations), Oncology (284 citations) and Biotechnology (90 citations). Jeffrey Tom has collaborated with scholars based in United States, France and Norway. Frequent co-authors include James A. Wells, John P. Burnier, Clifford Quan, Randall J. Mrsny, Athanasia Koutsouris, Jerrold R. Turner, Gail Hecht, David Y. Jackson, Mark Stanley and Wayne J. Fairbrother. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Biology, Tetrahedron Letters and Bioorganic 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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