Gary J. Mack

626 citations
8 papers · 522 · h-index 7

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
  • Rheumatology top 10%
    • Eosinophilic Disorders and Syndromes

Papers in

    • Microtubule and mitosis dynamics 4
    • Cellular transport and secretion 3
    • Endoplasmic Reticulum Stress and Disease 1
    • Ubiquitin and proteasome pathways 2

Gary J. Mack

8 papers receiving 511 citations

Peers

Gary J. Mack
Comparison fields: 5 of 57
  • Cell Biology 307
  • Rheumatology 98
  • Genetics 66
  • Hematology 66
  • Molecular Biology 365
Replace Bon-Hun Koo with:
Bon-Hun Koo South Korea
Van de Ven Wj Belgium
Martine Guillier France
Laëtitia Gressin France
Hiroko Furuya Japan
Kamaleldin E. Elagib United States
D K Watson United States
Stephen J. Loughran Australia
Kayo Fujisawa Japan
Kai-Ping Yan France
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Citations per field
00.5×5.0×
Bon-Hun Koo · 1×
Citations per year

Countries citing papers authored by Gary J. Mack

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. Mack. 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 Gary J. Mack. The network helps show where Gary J. Mack may publish in the future.

Co-authors

The 15 scholars most cited alongside Gary J. Mack, 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 Gary J. Mack Line = papers co-authored together Gary J. Mack links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2001135
2 2002123
3 2000115
4 199883
5 200025
6 200320
7 199817
8 19984

About Gary J. Mack

Gary J. Mack is a scholar working on Cell Biology, Molecular Biology, Rheumatology, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 522 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Cellular transport and secretion (3 papers), Renal Diseases and Glomerulopathies (2 papers), Systemic Lupus Erythematosus Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (307 citations), Rheumatology (98 citations), Genetics (66 citations), Hematology (66 citations) and Molecular Biology (365 citations). Gary J. Mack has collaborated with scholars based in Canada, United States and France. Frequent co-authors include J. B. Rattner, Duane A. Compton, Meifeng Zhang, Marvin J. Fritzler, Cornel Popovici, Géraldine Guasch, Nicole Dastugue, Marie‐Josèphe Pébusque, Daniel Birnbaum and R. Balczon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Microscopy Research and Technique, Molecular Biology Reports, Journal of Cell Science and Blood.

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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