Campbell McInnes
Impact in
-
- Computational Drug Discovery Methods
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 4
- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 4
- Oncology 26
- Cancer-related Molecular Pathways 19
- HER2/EGFR in Cancer Research 5
- Co-authors
- Peter M. Fischer (10 shared papers)Michael D. Wyatt (10 shared papers)Mokdad Mezna (6 shared papers)George Kontopidis (9 shared papers)Brian D. Sykes (1 shared paper)Brian D. Sykes (7 shared papers)Tilman Brummer (2 shared papers)Mark Thomas (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (10 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Biological Chemistry (3 papers)Biochemistry (3 papers)ACS Chemical Biology (3 papers)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Campbell McInnes
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 365
- Cell Biology 358
- Oncology 513
- Molecular Biology 1.2k
- Organic Chemistry 313
Countries citing papers authored by Campbell McInnes
This map shows the geographic impact of Campbell McInnes'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 Campbell McInnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Campbell McInnes more than expected).
Fields of papers citing papers by Campbell McInnes
This network shows the impact of papers produced by Campbell McInnes. 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 Campbell McInnes. The network helps show where Campbell McInnes may publish in the future.
Co-authors
The 25 scholars most cited alongside Campbell McInnes, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 322 | |
| 2 | 2008 | 168 | |
| 3 | 2005 | 88 | |
| 4 | 2006 | 80 | |
| 5 | 2011 | 79 | |
| 6 | 1997 | 69 | |
| 7 | 1996 | 61 | |
| 8 | 2014 | 57 | |
| 9 | 2004 | 53 | |
| 10 | 2004 | 53 | |
| 11 | 1995 | 50 | |
| 12 | 2006 | 49 | |
| 13 | 2005 | 43 | |
| 14 | 2020 | 43 | |
| 15 | 2009 | 42 | |
| 16 | 2014 | 40 | |
| 17 | 2005 | 39 | |
| 18 | 1995 | 37 | |
| 19 | 2006 | 35 | |
| 20 | 1995 | 34 |
About Campbell McInnes
Campbell McInnes is a scholar working on Molecular Biology, Oncology, Cell Biology, Organic Chemistry and Computational Theory and Mathematics, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (19 papers), Cancer-related Molecular Pathways (19 papers), Ubiquitin and proteasome pathways (8 papers), HER2/EGFR in Cancer Research (5 papers), Computational Drug Discovery Methods (5 papers), Protein Degradation and Inhibitors (4 papers), Protein Structure and Dynamics (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Computational Theory and Mathematics (365 citations), Cell Biology (358 citations), Oncology (513 citations), Molecular Biology (1.2k citations) and Organic Chemistry (313 citations). Campbell McInnes has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Peter M. Fischer, Michael D. Wyatt, Mokdad Mezna, George Kontopidis, Brian D. Sykes, Brian D. Sykes, Tilman Brummer, Mark Thomas, Robert S. Hodges and Zuping Xia. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Biochemistry and ACS Chemical 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.