Kevin Gesson

981 citations
7 papers · 775 · h-index 7

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
    • Nuclear Structure and Function
    • Mitochondrial Function and Pathology
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • ATP Synthase and ATPases Research

Papers in

    • Genomics and Chromatin Dynamics 3
    • Mitochondrial Function and Pathology 3
    • Nuclear Structure and Function 3
    • RNA Research and Splicing 3
    • Autophagy in Disease and Therapy 2

Kevin Gesson

7 papers receiving 772 citations

Peers

Kevin Gesson
Comparison fields: 5 of 69
  • Cell Biology 292
  • Molecular Biology 619
  • Clinical Biochemistry 27
  • Epidemiology 110
  • Aging 6
Replace Pascal St-Pierre with:
Pascal St-Pierre Canada
Matthew D. Benson Canada
Zhaodi Jiang China
Fengsong Wang China
Dongxue Mao United States
Elias Adriaenssens Belgium
Liliana Torosantucci Italy
Tsun-Kai Chang United States
Daxiao Sun China
Emily M. Lynes Canada
Kevin Gesson relative to Pascal St-Pierre Canada Pascal St-Pierre's profile →
Citations per field
00.5×
Pascal St-Pierre · 1×
Citations per year

Countries citing papers authored by Kevin Gesson

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Gesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010184
2 2016162
3 2010141
4 2016120
5 201086
6 201362
7 202020

About Kevin Gesson

Kevin Gesson is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 775 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Mitochondrial Function and Pathology (3 papers), Nuclear Structure and Function (3 papers), RNA Research and Splicing (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Autophagy in Disease and Therapy (2 papers), Mass Spectrometry Techniques and Applications (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Cell Biology (292 citations), Molecular Biology (619 citations), Clinical Biochemistry (27 citations), Epidemiology (110 citations) and Aging (6 citations). Kevin Gesson has collaborated with scholars based in Austria, Canada and United States. Frequent co-authors include Roland Foisner, Thomas Simmen, Emily M. Lynes, Thomas Dechat, Gary Thomas, Philipp Rescheneder, Arndt von Haeseler, Sandra Vidak, Ross Fitzsimmons and Matthew D. Benson. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Cold Spring Harbor Symposia on Quantitative Biology, Cancers, Seminars in Cell and Developmental Biology and The Journal of Cell 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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