Tom Taghon

8.9k citations
112 papers · 4.0k · h-index 35

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Immune Cell Function and Interaction 46
    • T-cell and B-cell Immunology 40
    • Immunotherapy and Immune Responses 17
    • CAR-T cell therapy research 28

Tom Taghon

111 papers receiving 4.0k citations

Peers

Tom Taghon
Comparison fields: 5 of 101
  • Immunology 1.8k
  • Cancer Research 658
  • Hematology 487
  • Oncology 765
  • Molecular Biology 2.0k
Replace Marı́a L. Toribio with:
Marı́a L. Toribio Spain
Roberta Pelanda United States
Hisashi Iizasa Japan
Annaiah Cariappa United States
César Cobaleda Spain
Lisa M. Burzenski United States
Ann J. Feeney United States
Eric R. Lechman United States
Magda De Smedt Belgium
Hidefumi Hiramatsu Japan
Tom Taghon relative to Marı́a L. Toribio Spain Marı́a L. Toribio's profile →
Citations per field
00.5×2×3×3.6×
Marı́a L. Toribio · 1×
Citations per year

Countries citing papers authored by Tom Taghon

Since Specialization
Citations

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

Fields of papers citing papers by Tom Taghon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011293
2 2006252
3 2004222
4 2011220
5 2009161
6 2007151
7 2012140
8 201491
9 200290
10 200688
11 200887
12 201982
13 200779
14 201377
15 201172
16 200864
17 201458
18 201455
19 201754
20 201652

About Tom Taghon

Tom Taghon is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Hematology, having authored 112 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (46 papers), T-cell and B-cell Immunology (40 papers), CAR-T cell therapy research (28 papers), Immunotherapy and Immune Responses (17 papers), RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (10 papers), Epigenetics and DNA Methylation (10 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Immunology (1.8k citations), Cancer Research (658 citations), Hematology (487 citations), Oncology (765 citations) and Molecular Biology (2.0k citations). Tom Taghon has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Ellen V. Rothenberg, Georges Leclercq, Bart Vandekerckhove, Jean R. Plum, Mary A. Yui, Magda De Smedt, Inge Van de Walle, Pieter Van Vlierberghe, Tessa C. C. Kerre and Rochelle A. Diamond. Their work appears in journals such as Blood, Haematologica, Frontiers in Immunology, The Journal of Immunology and Leukemia.

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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