T.E. Swingler

3.6k citations
34 papers · 2.0k indexed · h-index 21
    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 11
    • Protease and Inhibitor Mechanisms 5
    • Osteoarthritis Treatment and Mechanisms 15
    • Circular RNAs in diseases 6
    • Cancer-related gene regulation 6
    • Genomics and Chromatin Dynamics 3
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 5

T.E. Swingler

34 papers receiving 2.0k citations

Peers

T.E. Swingler
Comparison fields: 5 of 113
  • Cancer Research 954
  • Rheumatology 743
  • Molecular Biology 1.0k
  • Immunology and Allergy 90
  • Oncology 283
Replace Je‐Hwang Ryu with:
Je‐Hwang Ryu South Korea
Matt J. Barter United Kingdom
Merissa Olmer United States
Vickram Srinivas United States
Chin‐Jung Hsu Taiwan
Ignacio Rego‐Pérez Spain
Emmanuel Karouzakis Switzerland
Suzanne M. Bernier Canada
Birgit Niederreiter Austria
Fiorella Descalzi Cancedda Italy
T.E. Swingler relative to Je‐Hwang Ryu South Korea Je‐Hwang Ryu's profile →
Citations per field
00.5×1.5×1.9×
Je‐Hwang Ryu · 1×
Citations per year

Countries citing papers authored by T.E. Swingler

Since Specialization
Citations

This map shows the geographic impact of T.E. Swingler'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 T.E. Swingler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.E. Swingler more than expected).

Fields of papers citing papers by T.E. Swingler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.E. Swingler. 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 T.E. Swingler. The network helps show where T.E. Swingler may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202017
3 20208
4 20181
5 201538
6 2015109
7 20151
8 20142
9 20142
10 201320
11 20121
12 201232
13 2010210
14 201065
15 2007457
16 200291
17 200237
18 19986
19 19971
20 199620

About T.E. Swingler

T.E. Swingler is a scholar working on Cancer Research, Rheumatology, Molecular Biology, Oncology and Hematology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (15 papers), MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (6 papers), Cancer-related gene regulation (6 papers), Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (954 citations), Rheumatology (743 citations), Molecular Biology (1.0k citations), Immunology and Allergy (90 citations) and Oncology (283 citations). T.E. Swingler has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Ian M. Clark, Dylan R. Edwards, Clara Luz Sampieri, David A. Young, Linh T. T. Le, Rose K. Davidson, Simon Donell, Tamás Dalmay, Matthew J. Barter and Ray Boot-Handford. Their work appears in journals such as Osteoarthritis and Cartilage, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, RNA and Matrix 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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