Ed Manser

3.2k citations
43 papers · 2.6k indexed · h-index 29

Impact in

    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Hippo pathway signaling and YAP/TAZ
    • Cell Adhesion Molecules Research

Papers in

    • Cellular Mechanics and Interactions 13
    • Microtubule and mitosis dynamics 9
    • Cellular transport and secretion 7
    • Cell Adhesion Molecules Research 4

Ed Manser

43 papers receiving 2.5k citations

Peers

Ed Manser
Comparison fields: 5 of 109
  • Cell Biology 1.1k
  • Immunology and Allergy 292
  • Molecular Biology 1.7k
  • Oncology 470
  • Aging 27
Replace Xiangqun Chen with:
Xiangqun Chen Singapore
Kiyoko Fukami Japan
Sarah J. Heasman United Kingdom
Zhuo-shen Zhao Singapore
Kirsi Riento United Kingdom
Étienne Formstecher France
Yasutaka Ohta Japan
Mark Holt United Kingdom
Metello Innocenti Italy
Ed Manser relative to Xiangqun Chen Singapore Xiangqun Chen's profile →
Citations per field
00.5×4.4×
Xiangqun Chen · 1×
Citations per year

Countries citing papers authored by Ed Manser

Since Specialization
Citations

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

Fields of papers citing papers by Ed Manser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011381
2 2005225
3 2005200
4 1999171
5 200198
6 201292
7 201285
8 201181
9 200978
10 200472
11 201669
12 200865
13 200960
14 201555
15 201052
16 201551
17 201047
18 200546
19 200945
20 201044

About Ed Manser

Ed Manser is a scholar working on Cell Biology, Immunology and Allergy, Molecular Biology, Oncology and Urology, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (20 papers), Cellular Mechanics and Interactions (13 papers), Microtubule and mitosis dynamics (9 papers), Ubiquitin and proteasome pathways (9 papers), Cellular transport and secretion (7 papers), Cell Adhesion Molecules Research (4 papers), Cancer-related Molecular Pathways (4 papers) and 14-3-3 protein interactions (4 papers). The work is most often cited by research in Cell Biology (1.1k citations), Immunology and Allergy (292 citations), Molecular Biology (1.7k citations), Oncology (470 citations) and Aging (27 citations). Ed Manser has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Louis Lim, Zhuo-shen Zhao, Zhou-shen Zhao, Perry M. Chan, Yohendran Baskaran, Jet Phey Lim, Wing Hei Chan, Christine M Hall, Jingming Dong and Cheng-Gee Koh. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Biochemical Journal, Journal of Cell Science and Molecular Cell.

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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