Bryan Serrels

3.7k citations
40 papers · 2.8k · h-index 26

Impact in

Papers in

    • Cell Adhesion Molecules Research 15
    • Protein Kinase Regulation and GTPase Signaling 8
    • Angiogenesis and VEGF in Cancer 4
    • Advanced Biosensing Techniques and Applications 3
    • Genomics and Chromatin Dynamics 2

Bryan Serrels

40 papers receiving 2.8k citations

Peers

Bryan Serrels
Comparison fields: 5 of 92
  • Immunology and Allergy 636
  • Cell Biology 408
  • Oncology 563
  • Molecular Biology 827
  • Cancer Research 144
Replace Marta Canel with:
Marta Canel United Kingdom
Sean A. Uryu United States
Valerie J. Fincham United Kingdom
Gordon W. McLean United Kingdom
J. Thomas Parsons United States
Xiao Lei Chen United States
Stephan Niland Germany
Sara Cabodi Italy
Michael H. Roh United States
Jill K. Slack‐Davis United States
Bryan Serrels relative to Marta Canel United Kingdom Marta Canel's profile →
Citations per field
00.5×1.5×1.8×
Marta Canel · 1×
Citations per year

Countries citing papers authored by Bryan Serrels

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Serrels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015342
2 2010305
3 2004223
4 2007213
5 2005185
6 2011160
7 2014143
8 2010132
9 2010118
10 2020114
11 201788
12 201552
13 201952
14 202351
15 201750
16 201245
17 201837
18 202037
19 201736
20 201535

About Bryan Serrels

Bryan Serrels is a scholar working on Immunology and Allergy, Molecular Biology, Cell Biology, Oncology and Immunology, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (15 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cellular Mechanics and Interactions (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Autophagy in Disease and Therapy (3 papers), Advanced Biosensing Techniques and Applications (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology and Allergy (636 citations), Cell Biology (408 citations), Oncology (563 citations), Molecular Biology (827 citations) and Cancer Research (144 citations). Bryan Serrels has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Margaret C. Frame, Valerie G. Brunton, Alan Serrels, Hitesh Patel, Valerie J. Fincham, Marta Canel, Neil O. Carragher, Daniel Lietha, Michael J. Eck and Emma Sandilands. Their work appears in journals such as Cancer Research, Journal of Cell Science, Carcinogenesis, Nature Communications and EMBO Reports.

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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