Simon Thomas

1.6k citations
26 papers · 1.3k · h-index 13

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 21
    • Virus-based gene therapy research 5

Simon Thomas

24 papers receiving 1.3k citations

Peers

Simon Thomas
Comparison fields: 5 of 41
  • Oncology 989
  • Immunology 178
  • Hematology 82
  • Neurology 53
  • Genetics 15
Replace Sareetha Kailayangiri with:
Sareetha Kailayangiri Germany
Stefano Di Cecca Italy
John Lattin United States
Gordon Weng-Kit Cheung United Kingdom
Jonathan P.H. Fisher United Kingdom
Winston Vetharoy United Kingdom
Lingfeng Liu United States
ChingLam W. Wong United States
Kevin G. Pinz United States
Srinivas S. Somanchi United States
Simon Thomas relative to Sareetha Kailayangiri Germany Sareetha Kailayangiri's profile →
Citations per field
00.5×1.5×2.2×
Sareetha Kailayangiri · 1×
Citations per year

Countries citing papers authored by Simon Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Simon Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014348
2 2021228
3 2020162
4 2017149
5 201876
6 200862
7 201655
8 200952
9 202330
10 202328
11 202122
12 202421
13 202415
14 20239
15 20148
16 20237
17 20246
18 20175
19 20235
20 20144

About Simon Thomas

Simon Thomas is a scholar working on Oncology, Genetics, Immunology, Epidemiology and Hematology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (21 papers), Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Protein Tyrosine Phosphatases (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), T-cell and B-cell Immunology (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (989 citations), Immunology (178 citations), Hematology (82 citations), Neurology (53 citations) and Genetics (15 citations). Simon Thomas has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Martin Pulé, Brian Philip, Karin C. M. Straathof, Evangelia Kokalaki, Virna Marin, Teresa Marafioti, Karl S. Peggs, David C. Linch, Ronjon K. Chakraverty and Leila Mekkaoui. Their work appears in journals such as Blood, Molecular Therapy, Nature Medicine, Gene Therapy and Science Translational Medicine.

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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