Bryan Serrels

3.8k citations
37 papers · 2.6k · h-index 25

Impact in

Papers in

    • Cellular Mechanics and Interactions 13
    • Hippo pathway signaling and YAP/TAZ 7
    • Cellular transport and secretion 6
    • Skin and Cellular Biology Research 4
    • Cell Adhesion Molecules Research 19

Bryan Serrels

36 papers receiving 2.6k citations

Peers

Bryan Serrels
Comparison fields: 5 of 104
  • Immunology and Allergy 928
  • Cell Biology 918
  • Oncology 572
  • Cancer Research 279
  • Molecular Biology 1.3k
Replace Elisabeth Génot with:
Elisabeth Génot France
Klaudia Giehl Germany
Marcin Iwanicki United States
Valerie J. Fincham United Kingdom
Rebecca A. Worthylake United States
Sara Cabodi Italy
Jose Javier Bravo‐Cordero United States
Angeliki Malliri United Kingdom
Silvia M. Goicoechea United States
Daniel Lietha Spain
Bryan Serrels relative to Elisabeth Génot France Elisabeth Génot's profile →
Citations per field
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Elisabeth Génot · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015306
2 2010293
3 2004217
4 2007211
5 2004181
6 2005180
7 2011148
8 2014131
9 2010126
10 2010112
11 201782
12 201949
13 201548
14 201748
15 202346
16 201244
17 201533
18 201732
19 201832
20 201331

About Bryan Serrels

Bryan Serrels is a scholar working on Cell Biology, Immunology and Allergy, Molecular Biology, Immunology and Oncology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (19 papers), Cellular Mechanics and Interactions (13 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Cellular transport and secretion (6 papers), Ubiquitin and proteasome pathways (5 papers), Skin and Cellular Biology Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Immunology and Allergy (928 citations), Cell Biology (918 citations), Oncology (572 citations), Cancer Research (279 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, EMBO Reports, Nature Communications and Carcinogenesis.

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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