Gib Bogle
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- T-cell and B-cell Immunology
Papers in
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- Mathematical Biology Tumor Growth 5
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- Bioactive Compounds and Antitumor Agents 3
- Co-authors
- P. Rod Dunbar (6 shared papers)Gregory B. Sands (2 shared papers)Ian J. LeGrice (2 shared papers)Michael J. O’Sullivan (2 shared papers)Kevin Owen Hicks (5 shared papers)Anthony R. J. Phillips (1 shared paper)William Robert Wilson (4 shared papers)Alys Rachel Clark (1 shared paper)
- Journals
- Immunology and Cell Biology (3 papers)Frontiers in Pharmacology (2 papers)Water Resources Research (2 papers)Interface Focus (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)
- Partner nations
- New ZealandUnited StatesSwitzerland
In The Last Decade
Gib Bogle
19 papers receiving 414 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 47
- Immunology 92
- Oncology 76
- Obstetrics and Gynecology 23
- Toxicology 13
Countries citing papers authored by Gib Bogle
This map shows the geographic impact of Gib Bogle'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 Gib Bogle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gib Bogle more than expected).
Fields of papers citing papers by Gib Bogle
This network shows the impact of papers produced by Gib Bogle. 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 Gib Bogle. The network helps show where Gib Bogle may publish in the future.
Co-authors
The 25 scholars most cited alongside Gib Bogle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 67 | |
| 2 | 2009 | 50 | |
| 3 | 2008 | 39 | |
| 4 | 1994 | 38 | |
| 5 | 2019 | 38 | |
| 6 | 2018 | 33 | |
| 7 | 2019 | 29 | |
| 8 | 2012 | 26 | |
| 9 | 2018 | 26 | |
| 10 | 1979 | 21 | |
| 11 | 2009 | 21 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 13 | |
| 14 | 1979 | 7 | |
| 15 | 2011 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2011 | 1 | |
| 19 | 2021 | 1 |
About Gib Bogle
Gib Bogle is a scholar working on Modeling and Simulation, Toxicology, Immunology, Cancer Research and Ocean Engineering, having authored 19 papers that have together received 442 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Mathematical Biology Tumor Growth (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Lymphatic System and Diseases (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Modeling and Simulation (47 citations), Immunology (92 citations), Oncology (76 citations), Obstetrics and Gynecology (23 citations) and Toxicology (13 citations). Gib Bogle has collaborated with scholars based in New Zealand, United States and Switzerland. Frequent co-authors include P. Rod Dunbar, Gregory B. Sands, Ian J. LeGrice, Michael J. O’Sullivan, Kevin Owen Hicks, Anthony R. J. Phillips, William Robert Wilson, Alys Rachel Clark, Joanna L. James and John E. Hearst. Their work appears in journals such as Immunology and Cell Biology, Frontiers in Pharmacology, Water Resources Research, Interface Focus and Cancer Chemotherapy and 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.