Thomas A. Johnson

5.8k citations
64 papers · 4.4k · 1 hit paper · h-index 28

Impact in

Papers in

    • Genomics and Chromatin Dynamics 17
    • RNA Research and Splicing 8
    • Estrogen and related hormone effects 17

Thomas A. Johnson

56 papers receiving 4.3k citations

Thomas A. Johnson's Hit Papers

Chromatin accessibility pre-determines glucocorticoid receptor binding patterns 2011 · 720 citations
7200+5+10Years since publication200400600

Peers

Thomas A. Johnson
Comparison fields: 5 of 186
  • Behavioral Neuroscience 299
  • Immunology 763
  • Genetics 978
  • Molecular Biology 2.3k
  • Endocrinology, Diabetes and Metabolism 510
Replace Ken Matsumoto with:
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Thomas A. Johnson relative to Ken Matsumoto Japan Ken Matsumoto's profile →
Citations per field
00.5×10×20×27.2×
Ken Matsumoto · 1×
Citations per year

Countries citing papers authored by Thomas A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chromatin accessibility pre-determines glucocorticoid receptor binding patterns
Hit paper breakdown →
2011720
2 2011380
3 2011336
4 2009304
5 2008264
6 2011262
7 1999253
8 2011186
9 2013116
10 2014113
11 2016111
12 2017110
13 2021102
14 201991
15 201188
16 200985
17 200875
18 200375
19 200772
20 201761

About Thomas A. Johnson

Thomas A. Johnson is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Cancer Research, having authored 64 papers that have together received 4.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (8 papers), NF-κB Signaling Pathways (6 papers), Hormonal Regulation and Hypertension (4 papers), Systems Engineering Methodologies and Applications (4 papers), Reproductive System and Pregnancy (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Behavioral Neuroscience (299 citations), Immunology (763 citations), Genetics (978 citations), Molecular Biology (2.3k citations) and Endocrinology, Diabetes and Metabolism (510 citations). Thomas A. Johnson has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include Gordon L. Hager, Sam John, Myong‐Hee Sung, Simon C. Biddie, J Stamatoyannopoulos, Robert E. Thurman, R. Louis Schiltz, Peter J. Sabo, Ty C. Voss and Stafford L. Lightman. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Gastroenterology, Nature Communications and Cybersecurity.

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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