Gib Bogle
Impact in
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
-
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 4
-
- Single-cell and spatial transcriptomics 2
- Co-authors
- P. Rod Dunbar (6 shared papers)Michael J. O’Sullivan (3 shared papers)Ian J. LeGrice (2 shared papers)Gregory B. Sands (2 shared papers)Anthony R. J. Phillips (1 shared paper)Kevin O. Hicks (5 shared papers)William R. Wilson (4 shared papers)Joanna L. James (1 shared paper)
- Journals
- Immunology and Cell Biology (3 papers)Water Resources Research (2 papers)Frontiers in Pharmacology (2 papers)Scientific Reports (1 paper)Radiotherapy and Oncology (1 paper)
- Partner nations
- New ZealandUnited StatesSwitzerland
In The Last Decade
Gib Bogle
20 papers receiving 389 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 37
- Immunology 130
- Biophysics 27
- Obstetrics and Gynecology 29
- Oncology 72
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 | 63 | |
| 2 | 2009 | 45 | |
| 3 | 2019 | 36 | |
| 4 | 2008 | 36 | |
| 5 | 1994 | 31 | |
| 6 | 2018 | 30 | |
| 7 | 2019 | 27 | |
| 8 | 2012 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 1979 | 21 | |
| 11 | 2009 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 12 | |
| 14 | 1987 | 10 | |
| 15 | 1979 | 8 | |
| 16 | 2011 | 5 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 1980 | 3 | |
| 20 | 2021 | 1 |
About Gib Bogle
Gib Bogle is a scholar working on Immunology, Molecular Biology, Modeling and Simulation, Ocean Engineering and Oncology, having authored 20 papers that have together received 419 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Mathematical Biology Tumor Growth (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Water-Energy-Food Nexus Studies (3 papers), Water resources management and optimization (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Modeling and Simulation (37 citations), Immunology (130 citations), Biophysics (27 citations), Obstetrics and Gynecology (29 citations) and Oncology (72 citations). Gib Bogle has collaborated with scholars based in New Zealand, United States and Switzerland. Frequent co-authors include P. Rod Dunbar, Michael J. O’Sullivan, Ian J. LeGrice, Gregory B. Sands, Anthony R. J. Phillips, Kevin O. Hicks, William R. Wilson, Joanna L. James, Alys R. Clark and John E. Hearst. Their work appears in journals such as Immunology and Cell Biology, Water Resources Research, Frontiers in Pharmacology, Scientific Reports and Radiotherapy and Oncology.
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.