Bryan Serrels

3.9k citations
40 papers · 2.8k · h-index 26

Impact in

Papers in

    • Cell Adhesion Molecules Research 21
    • Cellular Mechanics and Interactions 13
    • Hippo pathway signaling and YAP/TAZ 7
    • Cellular transport and secretion 5
    • Skin and Cellular Biology Research 3

Bryan Serrels

40 papers receiving 2.7k citations

Peers

Bryan Serrels
Comparison fields: 5 of 106
  • Immunology and Allergy 850
  • Cell Biology 888
  • Oncology 669
  • Cancer Research 318
  • Molecular Biology 1.3k
Replace Elisabeth M. Genot with:
Elisabeth M. Genot France
Ian Pass United States
Peter W. Janes Australia
Rebecca A. Worthylake United States
Sara Cabodi Italy
Heidi C. E. Welch United Kingdom
Angeliki Malliri United Kingdom
Valerie A. Petit France
Marta Canel United Kingdom
Valerie J. Fincham United Kingdom
Bryan Serrels relative to Elisabeth M. Genot France Elisabeth M. Genot's profile →
Citations per field
00.5×1.5×2.2×
Elisabeth M. Genot · 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 2015340
2 2010306
3 2004219
4 2007213
5 2005185
6 2011160
7 2014141
8 2010133
9 2010116
10 2020112
11 201788
12 201551
13 201951
14 202351
15 201750
16 201245
17 202037
18 201736
19 201535
20 201835

About Bryan Serrels

Bryan Serrels is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Immunology and Oncology, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Cellular Mechanics and Interactions (13 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Cellular transport and secretion (5 papers), Ubiquitin and proteasome pathways (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Immune Cell Function and Interaction (3 papers) and Skin and Cellular Biology Research (3 papers). The work is most often cited by research in Immunology and Allergy (850 citations), Cell Biology (888 citations), Oncology (669 citations), Cancer Research (318 citations) and Molecular Biology (1.3k 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, Daniel Lietha, Neil O. Carragher, Michael J. Eck and Emma Sandilands. Their work appears in journals such as Cancer Research, Journal of Cell Science, Carcinogenesis, Nature Cell Biology and Scientific 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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