John McCullough

3.3k citations
41 papers · 2.4k · h-index 20

Impact in

  • Cell Biology top 0.5%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Microtubule and mitosis dynamics
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Lipid Membrane Structure and Behavior 7
    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 2
    • Cellular transport and secretion 15

John McCullough

39 papers receiving 2.4k citations

Peers

John McCullough
Comparison fields: 5 of 128
  • Cell Biology 1.2k
  • Virology 151
  • Physiology 122
  • Molecular Biology 1.5k
  • Structural Biology 22
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Citations per field
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Citations per year

Countries citing papers authored by John McCullough

Since Specialization
Citations

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

Fields of papers citing papers by John McCullough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004306
2 2006208
3 2018198
4 2015197
5 2008195
6 2013192
7 2011184
8 2009177
9 2006162
10 200395
11 201368
12 202062
13 199644
14 198639
15 198236
16 199533
17 201931
18 200830
19 197322
20 200619

About John McCullough

John McCullough is a scholar working on Molecular Biology, Cell Biology, Immunology, Physiology and Pathology and Forensic Medicine, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), Lipid Membrane Structure and Behavior (7 papers), Ubiquitin and proteasome pathways (4 papers), Complement system in diseases (3 papers), Immune Response and Inflammation (3 papers), HIV Research and Treatment (3 papers), Biomedical Research and Pathophysiology (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cell Biology (1.2k citations), Virology (151 citations), Physiology (122 citations), Molecular Biology (1.5k citations) and Structural Biology (22 citations). John McCullough has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Wesley I. Sundquist, Michael J. Clague, Sylvie Urbé, Adam Frost, Leremy A. Colf, Paula E. Row, Christopher P. Hill, Ian A. Prior, Robert D. Fisher and Frank G. Whitby. Their work appears in journals such as American Journal of Physical Anthropology, Nature Structural & Molecular Biology, Biophysical Journal, Molecular Biology of the Cell and Journal of Biological Chemistry.

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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