Simon Thomas

1.7k citations
28 papers · 812 · h-index 10

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 25
    • Biosimilars and Bioanalytical Methods 5

Simon Thomas

27 papers receiving 788 citations

Peers

Simon Thomas
Comparison fields: 5 of 43
  • Oncology 685
  • Immunology 195
  • Genetics 206
  • Hematology 66
  • Biomedical Engineering 261
Replace Diogo Gomes‐Silva with:
Diogo Gomes‐Silva United States
Kathleen Gallagher United States
Reona Sakemura United States
Sanfang Tu China
Kai Rejeski Germany
Brandon Ballard United States
Stefanie Lesch Germany
Virna Marin Italy
Rashmika Patel United States
Mireya Paulina Velasquez United States
Simon Thomas relative to Diogo Gomes‐Silva United States Diogo Gomes‐Silva's profile →
Citations per field
00.5×4.4×
Diogo Gomes‐Silva · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014321
2 2017138
3 201874
4 201654
5 201945
6 202036
7 201822
8 202119
9 201517
10 201916
11 20189
12 20188
13 20148
14 20236
15 20206
16 20245
17 20175
18 20234
19 20144
20 20204

About Simon Thomas

Simon Thomas is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 812 indexed citations. Recurring topics across this work include CAR-T cell therapy research (25 papers), Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Nanowire Synthesis and Applications (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Oncology (685 citations), Immunology (195 citations), Genetics (206 citations), Hematology (66 citations) and Biomedical Engineering (261 citations). Simon Thomas has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Martin Pulé, Brian Philip, Karin Straathof, Evangelia Kokalaki, Barry Flutter, Leila Mekkaoui, Teresa Marafioti, David C. Linch, Ronjon Chakraverty and Sergio A. Quezada. Their work appears in journals such as Blood, Cancer Research, ACS Chemical Biology, Molecular Therapy and Cancer Immunology Research.

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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