Mark C. Surka

1.1k citations
8 papers · 863 · h-index 7

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
  • Aging top 5%

Papers in

    • Fungal and yeast genetics research 5
    • Microtubule and mitosis dynamics 3
    • Cellular Mechanics and Interactions 3
    • Cellular transport and secretion 3
    • Hippo pathway signaling and YAP/TAZ 1

Mark C. Surka

8 papers receiving 857 citations

Peers

Mark C. Surka
Comparison fields: 5 of 73
  • Cell Biology 508
  • Aging 47
  • Molecular Biology 644
  • Cellular and Molecular Neuroscience 89
  • Physiology 113
Replace Dennis Koch with:
Dennis Koch Germany
Fern P. Finger United States
Damien Laporte France
Florent Ubelmann Portugal
Meiyan Jin United States
Neil Adames United States
Ines Hahn Germany
Francisco Rivero United Kingdom
Janet L. Burton United States
Guendalina Rossi United States
Mark C. Surka relative to Dennis Koch Germany Dennis Koch's profile →
Citations per field
00.5×3.6×
Dennis Koch · 1×
Citations per year

Countries citing papers authored by Mark C. Surka

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Surka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Mark C. Surka, 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 C. Surka Line = papers co-authored together Mark C. Surka links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2002207
2 2007177
3 2006137
4 2008122
5 200783
6 199981
7 200655
8 19991

About Mark C. Surka

Mark C. Surka is a scholar working on Molecular Biology, Cell Biology, Aging, Food Science and Surgery, having authored 8 papers that have together received 863 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Microtubule and mitosis dynamics (3 papers), Cellular Mechanics and Interactions (3 papers), Cellular transport and secretion (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Fermentation and Sensory Analysis (2 papers), Erythrocyte Function and Pathophysiology (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cell Biology (508 citations), Aging (47 citations), Molecular Biology (644 citations), Cellular and Molecular Neuroscience (89 citations) and Physiology (113 citations). Mark C. Surka has collaborated with scholars based in Canada and United States. Frequent co-authors include William S. Trimble, Christopher W. Tsang, Sandra L. Schmid, E. Emily Joo, Thomas Schroeter, Ya‐Wen Liu, Vasyl Lukiyanchuk, Defne Yarar, Hong Xie and Douglas M. Fowler. Their work appears in journals such as Molecular Biology of the Cell, FEBS Journal, The EMBO Journal, Developmental Cell and Traffic.

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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