Matthew Adlam

867 citations
11 papers · 740 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • S100 Proteins and Annexins
    • Ubiquitin and proteasome pathways
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

Matthew Adlam

11 papers receiving 730 citations

Peers

Matthew Adlam
Comparison fields: 5 of 74
  • Immunology 209
  • Molecular Biology 486
  • Cancer Research 88
  • Oncology 117
  • Cell Biology 63
Replace Marion Schuierer with:
Marion Schuierer Germany
Jongkyeong Chung United States
Matthew J. McBride United States
Feng Han China
Jeung-Whan Han South Korea
Ross J. Resnick United States
Michihiko Miyaji Japan
Graham Craggs United Kingdom
Annette Christensen Denmark
Carmen Feijoo‐Carnero United Kingdom
Matthew Adlam relative to Marion Schuierer Germany Marion Schuierer's profile →
Citations per field
00.5×1.5×2.1×
Marion Schuierer · 1×
Citations per year

Countries citing papers authored by Matthew Adlam

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Adlam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999197
2 1999115
3 2016109
4 2006105
5 200551
6 199641
7 200340
8 200635
9 199734
10 200210
11 20133

About Matthew Adlam

Matthew Adlam is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 11 papers that have together received 740 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA modifications and cancer (1 paper), Cancer-related molecular mechanisms research (1 paper), Immunotherapy and Immune Responses (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Immunology (209 citations), Molecular Biology (486 citations), Cancer Research (88 citations), Oncology (117 citations) and Cell Biology (63 citations). Matthew Adlam has collaborated with scholars based in United States, Austria and Czechia. Frequent co-authors include Gerald Siu, Sheng Wang, Srikumar Chellappan, Niharika Nath, Maureen A. Morrow, Cesar A. Perez, David D. Duncan, Estela Jacinto, Chang‐Chih Wu and Joseph G. Moloughney. Their work appears in journals such as Immunity, Molecular Cell, Oncogene, International Immunology and SLAS DISCOVERY.

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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