Mark T. Howes

2.7k citations
14 papers · 1.5k · h-index 13

Impact in

Papers in

    • Cellular transport and secretion 8
    • Caveolin-1 and cellular processes 7
    • Microtubule and mitosis dynamics 1
    • Lipid Membrane Structure and Behavior 3
    • Glycosylation and Glycoproteins Research 2
    • Signaling Pathways in Disease 1
    • Ion channel regulation and function 1

Mark T. Howes

14 papers receiving 1.5k citations

Peers

Mark T. Howes
Comparison fields: 5 of 88
  • Cell Biology 925
  • Immunology and Allergy 93
  • Molecular Biology 1.0k
  • Physiology 332
  • Immunology 211
Replace Chih‐Ying Chen with:
Chih‐Ying Chen United States
Tobias Zech United Kingdom
Kota Saito Japan
Takeshi Baba Japan
Youhei Egami Japan
José A. Martínez‐Menárguez Spain
Marko Jović United States
Megan Chircop Australia
Alison M. Motley United Kingdom
Saipraveen Srinivasan United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark T. Howes

Since Specialization
Citations

This map shows the geographic impact of Mark T. Howes'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 T. Howes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Howes more than expected).

Fields of papers citing papers by Mark T. Howes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014237
2 2008181
3 2012157
4 2010157
5 2007156
6 2014124
7 2012109
8 200895
9 201174
10 200774
11 201144
12 201241
13 202113
14 201410

About Mark T. Howes

Mark T. Howes is a scholar working on Cell Biology, Molecular Biology, Physiology, Immunology and Food Science, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Caveolin-1 and cellular processes (7 papers), Erythrocyte Function and Pathophysiology (4 papers), Lipid Membrane Structure and Behavior (3 papers), Glycosylation and Glycoproteins Research (2 papers), Microtubule and mitosis dynamics (1 paper), Signaling Pathways in Disease (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cell Biology (925 citations), Immunology and Allergy (93 citations), Molecular Biology (1.0k citations), Physiology (332 citations) and Immunology (211 citations). Mark T. Howes has collaborated with scholars based in Australia, United Kingdom and India. Frequent co-authors include Robert G. Parton, Satyajit Mayor, Richard Lundmark, Harvey T. McMahon, John F. Hancock, Gary J. Doherty, Nicole L. Schieber, Katia Cortese, Katharina Gaus and Sarah J. Plowman. Their work appears in journals such as Molecular Biology of the Cell, Journal of Cell Science, Nature Cell Biology, Scientific Reports and Current Biology.

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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