Tessa Crompton

7.9k citations
85 papers · 6.4k indexed · 1 hit paper · h-index 35
  • Immunology top 1%
    • T-cell and B-cell Immunology 26
    • Immune Cell Function and Interaction 23
    • Immunotherapy and Immune Responses 11
    • Immune Response and Inflammation 5
    • Hedgehog Signaling Pathway Studies 27
    • Epigenetics and DNA Methylation 14
    • Developmental Biology and Gene Regulation 6
  • Oncology top 2%
    • CAR-T cell therapy research 5

Tessa Crompton

85 papers receiving 6.3k citations

Hit Papers

Cbfa1, a Candidate Gene for Cleidocranial Dysplasia Syndr...2.4k199720262006201650010001.5k2.0k

Peers

Tessa Crompton
Comparison fields: 5 of 122
  • Immunology 1.7k
  • Molecular Biology 4.2k
  • Oncology 1.6k
  • Rheumatology 551
  • Cancer Research 531
Replace Tetsuo Sudo with:
Tetsuo Sudo Japan
Koichi Sasaki Japan
Ian Rosewell United Kingdom
Wilson Khoo Canada
Ivan Bertoncello Australia
Héctor L. Aguila United States
William M. Philbrick United States
Annick Itié Canada
Sonia B. Jakowlew United States
Ramón Merino Spain
Tessa Crompton relative to Tetsuo Sudo Japan Tetsuo Sudo's profile →
Citations per field
00.5×2.9×
Tetsuo Sudo · 1×
Citations per year

Countries citing papers authored by Tessa Crompton

Since Specialization
Citations

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

Fields of papers citing papers by Tessa Crompton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 20206
3 20194
4 201834
5 201812
6 201629
7 201322
8 20131
9 2011136
10 201121
11 200934
12 20094
13 200823
14 200832
15 200566
16 200473
17 200437
18 200433
19 200254
20 19942

About Tessa Crompton

Tessa Crompton is a scholar working on Immunology, Molecular Biology and Oncology, having authored 85 papers that have together received 6.4k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (27 papers), T-cell and B-cell Immunology (26 papers), Immune Cell Function and Interaction (23 papers), Epigenetics and DNA Methylation (14 papers), Immunotherapy and Immune Responses (11 papers), Developmental Biology and Gene Regulation (6 papers), CAR-T cell therapy research (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (1.7k citations), Molecular Biology (4.2k citations) and Oncology (1.6k citations). Tessa Crompton has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Michael J. Owen, Kimberly Gilmour, Ian Rosewell, Anders Thornell, Gordon Stamp, Rosa Beddington, Florian Otto, Angela Denzel, Bjørn R. Olsen and Stefan Mundlos. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Cell Cycle, Blood and Development.

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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