M. Shipman

1.0k citations
15 papers · 884 · h-index 8

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

M. Shipman

15 papers receiving 865 citations

Peers

M. Shipman
Comparison fields: 5 of 86
  • Cell Biology 541
  • Physiology 41
  • Immunology and Allergy 47
  • Molecular Biology 533
  • Physiology 169
Replace Paul S. Furcinitti with:
Paul S. Furcinitti United States
Pauline M. Bennett United Kingdom
Katja Faelber Germany
Sungmin Son United States
Manuel H. Taft Germany
Nathalie Sartori Blanc Switzerland
Sarah M. Heissler United States
Shulamit Cohen Israel
Cecilia de Heus Netherlands
L. Miya Fujimoto United States
M. Shipman relative to Paul S. Furcinitti United States Paul S. Furcinitti's profile →
Citations per field
00.5×3.4×
Paul S. Furcinitti · 1×
Citations per year

Countries citing papers authored by M. Shipman

Since Specialization
Citations

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

Fields of papers citing papers by M. Shipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside M. Shipman, 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 M. Shipman Line = papers co-authored together M. Shipman links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1990357
2 1994219
3 1991106
4 199889
5 201039
6 201534
7 201411
8 201711
9 19756
10 20184
11 20194
12 20231
13 20231
14 20151
15 20221

About M. Shipman

M. Shipman is a scholar working on Mechanics of Materials, Atomic and Molecular Physics, and Optics, Radiation, Cell Biology and Molecular Biology, having authored 15 papers that have together received 884 indexed citations. Recurring topics across this work include Muon and positron interactions and applications (8 papers), Atomic and Molecular Physics (8 papers), Cellular transport and secretion (4 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Advanced Chemical Physics Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers), Particle accelerators and beam dynamics (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cell Biology (541 citations), Physiology (41 citations), Immunology and Allergy (47 citations), Molecular Biology (533 citations) and Physiology (169 citations). M. Shipman has collaborated with scholars based in United Kingdom, Australia and Hungary. Frequent co-authors include Colin R. Hopkins, Adele Gibson, Karl N. Miller, Ian S. Trowbridge, Dudley K. Strickland, Karen Miller, G. Laricchia, Deepti Domingo, Simon Maxwell and Greg Odorizzi. Their work appears in journals such as Physical review. A, The Journal of Cell Biology, Physical Review Letters, Scientific Reports and Contemporary Sociology A Journal of Reviews.

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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