John McNeish

2.9k citations
22 papers · 2.3k · h-index 16

Impact in

  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
  • Surgery top 2%
    • Cholesterol and Lipid Metabolism

Papers in

    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 4
    • Cholesterol and Lipid Metabolism 4

John McNeish

22 papers receiving 2.3k citations

Peers

John McNeish
Comparison fields: 5 of 106
  • Oncology 612
  • Surgery 962
  • Molecular Biology 1.4k
  • Biochemistry 121
  • Cancer Research 191
Replace Catherine Seva with:
Catherine Seva France
Richard T. Waldron United States
Christèle Desbois‐Mouthon France
Lyle V. Lopez United States
Alan Cheng United States
Tomoaki Tanaka Japan
Lynn Cheatham United States
Carl Pelz United States
Tsuyoshi Sakoda Japan
Günter Daum United States
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Citations per field
00.5×2.7×
Catherine Seva · 1×
Citations per year

Countries citing papers authored by John McNeish

Since Specialization
Citations

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

Fields of papers citing papers by John McNeish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000465
2 2000444
3 2000272
4 2000231
5 2002223
6 2004129
7 1989116
8 199676
9 199155
10 201553
11 201052
12 199752
13 201048
14 200540
15 200722
16 199615
17 19895
18 19975
19 19884
20 19892

About John McNeish

John McNeish is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Biomedical Engineering, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Animal Genetics and Reproduction (4 papers), Cholesterol and Lipid Metabolism (4 papers), 3D Printing in Biomedical Research (4 papers), CRISPR and Genetic Engineering (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Biomedical Ethics and Regulation (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Oncology (612 citations), Surgery (962 citations), Molecular Biology (1.4k citations), Biochemistry (121 citations) and Cancer Research (191 citations). John McNeish has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Omar L. Francone, Lori Royer, Marsha L. Roach, Cyril Broccardo, Giovanna Chimini, Kenneth L. Hoppe, Christopher A. Gabel, John Hambor, Yannick Hamon and Didier Marguet. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, Cell stem cell, The Journal of Experimental Medicine and Clinical & Experimental Immunology.

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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