Bob Michell

416 citations
20 papers · 363 · h-index 9

Impact in

    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Ion channel regulation and function

Papers in

Bob Michell

16 papers receiving 330 citations

Peers

Bob Michell
Comparison fields: 5 of 82
  • Cell Biology 66
  • Molecular Biology 223
  • Cellular and Molecular Neuroscience 58
  • Physiology 11
  • Immunology and Allergy 13
Replace Kimihisa Yoshida with:
Kimihisa Yoshida Japan
Valerie J. Horn United States
Jung Woong Choi South Korea
Daun Putnam United States
Theresa M. Conway United States
Toyohiko Tohmatsu Japan
T Takenawa Japan
Cynthia M. Van De Walle United States
Andrea Salazar-Lázaro Germany
JR Goldenring United States
Bob Michell relative to Kimihisa Yoshida Japan Kimihisa Yoshida's profile →
Citations per field
00.5×1.5×
Kimihisa Yoshida · 1×
Citations per year

Countries citing papers authored by Bob Michell

Since Specialization
Citations

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

Fields of papers citing papers by Bob Michell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Bob Michell, 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 Bob Michell Line = papers co-authored together Bob Michell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198685
2 198378
3 198650
4 198639
5 198436
6 198315
7 198414
8 199513
9 198612
10 19827
11 19825
12 20022
13 20052
14 19962
15
Advanced clinical work.
19691
16 20101
17 20151
18 20050
19 19850
20 20120

About Bob Michell

Bob Michell is a scholar working on Small Animals, Cell Biology, Molecular Biology, Library and Information Sciences and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 363 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Animal health and immunology (2 papers), Animal Genetics and Reproduction (1 paper), Plant Reproductive Biology (1 paper), Lipid Membrane Structure and Behavior (1 paper), Veterinary Practice and Education Studies (1 paper), Animal Disease Management and Epidemiology (1 paper) and Veterinary Equine Medical Research (1 paper). The work is most often cited by research in Cell Biology (66 citations), Molecular Biology (223 citations), Cellular and Molecular Neuroscience (58 citations), Physiology (11 citations) and Immunology and Allergy (13 citations). Bob Michell has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include C J Kirk, Miles D. Houslay and Roma Harris. Their work appears in journals such as Trends in Biochemical Sciences, Nature, Veterinary Record, Journal of Education for Library and Information Science and In Practice.

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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