Mark I. McDermott

1.1k citations
18 papers · 867 · h-index 12

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Lipid metabolism and biosynthesis

Papers in

    • Lipid Membrane Structure and Behavior 5
    • Protein Kinase Regulation and GTPase Signaling 4
    • Protein Structure and Dynamics 2
    • Sphingolipid Metabolism and Signaling 2
    • Cellular transport and secretion 10
    • Endoplasmic Reticulum Stress and Disease 3

Mark I. McDermott

18 papers receiving 858 citations

Peers

Mark I. McDermott
Comparison fields: 5 of 94
  • Cell Biology 268
  • Biochemistry 100
  • Molecular Biology 604
  • Physiology 120
  • Physiology 22
Replace Yosuke Tsujishita with:
Yosuke Tsujishita Japan
Diana Molino France
Louise H. Wong United Kingdom
Takamitsu Sano Japan
Riikka Hynynen Finland
Lisa M. Keranen United States
Ziqing Wang China
Motoko Ohnishi Japan
Mark I. McDermott relative to Yosuke Tsujishita Japan Yosuke Tsujishita's profile →
Citations per field
00.5×3.0×
Yosuke Tsujishita · 1×
Citations per year

Countries citing papers authored by Mark I. McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Mark I. McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark I. McDermott. 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 Mark I. McDermott. The network helps show where Mark I. McDermott may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004286
2 2005159
3 200168
4 201958
5 201852
6 200147
7 201138
8 202031
9 201731
10 201025
11 200622
12 201613
13 201111
14 202010
15 20168
16 20243
17 20243
18 20232

About Mark I. McDermott

Mark I. McDermott is a scholar working on Molecular Biology, Cell Biology, Surgery, Biochemistry and Physiology, having authored 18 papers that have together received 867 indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Lipid metabolism and biosynthesis (3 papers), Pancreatic function and diabetes (3 papers), Protein Structure and Dynamics (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Cell Biology (268 citations), Biochemistry (100 citations), Molecular Biology (604 citations), Physiology (120 citations) and Physiology (22 citations). Mark I. McDermott has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Andrew J. Morris, Michael J.O. Wakelam, Vytas A. Bankaitis, Neil J. Shimwell, Khalid M. Saqib, Trevor R. Pettitt, Yuxuan Wang, Waeowalee Choksawangkarn, Salil Chanroj and Yury J. Sigal. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Advances in Biological Regulation, Methods and Chemistry and Physics of Lipids.

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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