Tom St. John

4.1k citations
32 papers · 3.5k · h-index 24

Impact in

Papers in

Tom St. John

32 papers receiving 3.4k citations

Peers

Tom St. John
Comparison fields: 5 of 111
  • Immunology and Allergy 806
  • Cell Biology 921
  • Molecular Biology 2.4k
  • Immunology 718
  • Cellular and Molecular Neuroscience 332
Replace Patricia J. Gallagher with:
Patricia J. Gallagher United States
Dagmar Diekmann United Kingdom
Jere E. Meredith United States
Miguel R. Campanero Spain
W. Michael Gallatin United States
Ronald van der Neut Netherlands
Ian P. Whitehead United States
Vera Shinder Israel
Mark Berryman United States
Vincenzo Cirulli United States
Tom St. John relative to Patricia J. Gallagher United States Patricia J. Gallagher's profile →
Citations per field
00.5×1.7×
Patricia J. Gallagher · 1×
Citations per year

Countries citing papers authored by Tom St. John

Since Specialization
Citations

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

Fields of papers citing papers by Tom St. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A simple, rapid method for the purification of poly A+ RNA.
1988371
2 1991316
3 1993309
4 1986275
5 1993256
6 1995219
7 1988185
8 1992178
9 1986144
10 1994131
11 1998125
12 1990122
13 1990110
14 1989109
15 1989107
16 198591
17 199590
18 198979
19 199468
20 199545

About Tom St. John

Tom St. John is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Immunology and Allergy and Immunology, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Cell Adhesion Molecules Research (5 papers), Immunotherapy and Immune Responses (5 papers), Advanced Wireless Communication Techniques (4 papers), Cancer-related gene regulation (4 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Immunology and Allergy (806 citations), Cell Biology (921 citations), Molecular Biology (2.4k citations), Immunology (718 citations) and Cellular and Molecular Neuroscience (332 citations). Tom St. John has collaborated with scholars based in United States, Singapore and South Africa. Frequent co-authors include W. Michael Gallatin, Shintaro Suzuki, E A Wayner, Jeffrey A. Frelinger, Gail A. Bishop, Hazel Sive, Mari K. Davidson, Hidenobu Tanihara, Ronald L. Heimark and Shuichi Obata. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Science, Journal of Cell Science and The Journal of Cell Biology.

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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