John McNeish
Impact in
Papers in
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 4
- Surgery 5
- Cholesterol and Lipid Metabolism 4
- Co-authors
- Lori Royer (3 shared papers)Omar L. Francone (3 shared papers)Marsha L. Roach (3 shared papers)Giovanna Chimini (2 shared papers)Cyril Broccardo (2 shared papers)Kenneth L. Hoppe (2 shared papers)Christopher A. Gabel (2 shared papers)John Hambor (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Genes & Development (2 papers)Cell stem cell (2 papers)Diabetes (1 paper)Current Opinion in Pharmacology (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
John McNeish
22 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 108
- Oncology 683
- Surgery 1.0k
- Molecular Biology 1.5k
- Biochemistry 131
- Cancer Research 229
Countries citing papers authored by John McNeish
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 465 | |
| 2 | 2000 | 445 | |
| 3 | 2000 | 272 | |
| 4 | 2000 | 231 | |
| 5 | 2002 | 220 | |
| 6 | 2004 | 129 | |
| 7 | 1989 | 116 | |
| 8 | 1996 | 76 | |
| 9 | 1991 | 55 | |
| 10 | 2015 | 53 | |
| 11 | 2010 | 52 | |
| 12 | 1997 | 52 | |
| 13 | 2010 | 48 | |
| 14 | 2005 | 40 | |
| 15 | 2007 | 22 | |
| 16 | 1996 | 15 | |
| 17 | 1989 | 5 | |
| 18 | 1997 | 5 | |
| 19 | 1988 | 4 | |
| 20 | 1989 | 2 |
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), CRISPR and Genetic Engineering (4 papers), 3D Printing in Biomedical Research (4 papers), Cholesterol and Lipid Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Biomedical Ethics and Regulation (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Oncology (683 citations), Surgery (1.0k citations), Molecular Biology (1.5k citations), Biochemistry (131 citations) and Cancer Research (229 citations). John McNeish has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Lori Royer, Omar L. Francone, Marsha L. Roach, Giovanna Chimini, Cyril Broccardo, Kenneth L. Hoppe, Christopher A. Gabel, John Hambor, Olivier Chambenoit and Jean‐Marie Freyssinet. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, Cell stem cell, Diabetes and Current Opinion in Pharmacology.
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.