Gib Bogle

632 total citations
20 papers, 419 citations indexed

About

Gib Bogle is a scholar working on Immunology, Molecular Biology and Modeling and Simulation. According to data from OpenAlex, Gib Bogle has authored 20 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Modeling and Simulation. Recurrent topics in Gib Bogle's work include T-cell and B-cell Immunology (5 papers), Mathematical Biology Tumor Growth (4 papers) and Immunotherapy and Immune Responses (4 papers). Gib Bogle is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Mathematical Biology Tumor Growth (4 papers) and Immunotherapy and Immune Responses (4 papers). Gib Bogle collaborates with scholars based in New Zealand, United States and Switzerland. Gib Bogle's co-authors include P. Rod Dunbar, Michael J. O’Sullivan, Gregory B. Sands, Ian J. LeGrice, Anthony R. J. Phillips, Kevin O. Hicks, William R. Wilson, Joanna L. James, Alys R. Clark and John E. Hearst and has published in prestigious journals such as PLoS ONE, Scientific Reports and Water Resources Research.

In The Last Decade

Gib Bogle

20 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gib Bogle New Zealand	13	130	119	72	63	37	20	419
Margaret Guo United States	9	177 1.4×	507 4.3×	103 1.4×	58 0.9×	4 0.1×	15	993
Iraj Hosseini United States	11	215 1.7×	174 1.5×	188 2.6×	76 1.2×	11 0.3×	31	519
Abigail Wacher United Kingdom	5	584 4.5×	154 1.3×	319 4.4×	15 0.2×	5 0.1×	13	846
Bruce P. Ayati United States	13	35 0.3×	196 1.6×	94 1.3×	75 1.2×	148 4.0×	31	546
Jiguang Bao China	20	55 0.4×	295 2.5×	108 1.5×	95 1.5×	142 3.8×	82	1.2k
Tom Quaiser Germany	9	36 0.3×	128 1.1×	62 0.9×	39 0.6×	58 1.6×	11	284
Wied Gl United States	19	83 0.6×	178 1.5×	143 2.0×	50 0.8×	7 0.2×	121	1.1k
Jiefei Han China	8	111 0.9×	103 0.9×	222 3.1×	29 0.5×	4 0.1×	20	403
Xuelu Li China	15	28 0.2×	104 0.9×	182 2.5×	64 1.0×	4 0.1×	35	457
Carolyn R. Cho United States	11	67 0.5×	301 2.5×	187 2.6×	67 1.1×	20 0.5×	17	737

Countries citing papers authored by Gib Bogle

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gib Bogle

This figure shows the co-authorship network connecting the top 25 collaborators of Gib Bogle. A scholar is included among the top collaborators of Gib Bogle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gib Bogle. Gib Bogle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Abe, Jun, Emma Jones, Kathryn Smart, et al.. (2022). Three-dimensional Imaging Reveals Immune-driven Tumor-associated High Endothelial Venules as a Key Correlate of Tumor Rejection Following Depletion of Regulatory T Cells. Cancer Research Communications. 2(12). 1641–1656. 3 indexed citations

Liu, Emily, Amir Ashoorzadeh, Gib Bogle, et al.. (2022). Tissue Pharmacokinetic Properties and Bystander Potential of Hypoxia-Activated Prodrug CP-506 by Agent-Based Modelling. Frontiers in Pharmacology. 13. 803602–803602. 3 indexed citations

Anekal, Praju Vikas, et al.. (2021). Radiosensitisation of SCCVII tumours and normal tissues in mice by the DNA-dependent protein kinase inhibitor AZD7648. Radiotherapy and Oncology. 166. 162–170. 18 indexed citations

Mehta, Sunali, H.D. Sarath Liyanage, Ho H. Lee, et al.. (2021). Spatially-resolved pharmacokinetic/pharmacodynamic modelling of bystander effects of a nitrochloromethylbenzindoline hypoxia-activated prodrug. Cancer Chemotherapy and Pharmacology. 88(4). 673–687. 1 indexed citations

Bogle, Gib, et al.. (2019). High-resolution 3D imaging and topological mapping of the lymph node conduit system. PLoS Biology. 17(12). e3000486–e3000486. 27 indexed citations

Bogle, Gib, et al.. (2019). Establishment of maternal blood supply to the placenta: insights into plugging, unplugging and trophoblast behaviour from an agent-based model. Interface Focus. 9(5). 20190019–20190019. 36 indexed citations

Bogle, Gib, Jingli Wang, Kashyap Patel, et al.. (2018). Bystander Effects of Hypoxia-Activated Prodrugs: Agent-Based Modeling Using Three Dimensional Cell Cultures. Frontiers in Pharmacology. 9. 1013–1013. 24 indexed citations

Jaiswal, Jagdish K., et al.. (2018). An agent-based model for drug-radiation interactions in the tumour microenvironment: Hypoxia-activated prodrug SN30000 in multicellular tumour spheroids. PLoS Computational Biology. 14(10). e1006469–e1006469. 30 indexed citations

Moreau, Hélène D., Gib Bogle, & Philippe Bousso. (2016). A virtual lymph node model to dissect the requirements for T‐cell activation by synapses and kinapses. Immunology and Cell Biology. 94(7). 680–688. 12 indexed citations

10.

Bogle, Gib, et al.. (2015). Organ-wide 3D-imaging and topological analysis of the continuous microvascular network in a murine lymph node. Scientific Reports. 5(1). 16534–16534. 63 indexed citations

11.

Bogle, Gib & P. Rod Dunbar. (2012). On-Lattice Simulation of T Cell Motility, Chemotaxis, and Trafficking in the Lymph Node Paracortex. PLoS ONE. 7(9). e45258–e45258. 24 indexed citations

12.

Bogle, Gib, et al.. (2011). Computational design of mixers and pumps for microfluidic systems, based on electrochemically-active conducting polymers. Physical Chemistry Chemical Physics. 13(12). 5450–5450. 5 indexed citations

13.

Bogle, Gib & P. Rod Dunbar. (2009). T cell responses in lymph nodes. WIREs Systems Biology and Medicine. 2(1). 107–116. 19 indexed citations

14.

Bogle, Gib & P. Rod Dunbar. (2009). Agent‐based simulation of T‐cell activation and proliferation within a lymph node. Immunology and Cell Biology. 88(2). 172–179. 45 indexed citations

15.

Bogle, Gib & P. Rod Dunbar. (2008). Simulating T‐cell motility in the lymph node paracortex with a packed lattice geometry. Immunology and Cell Biology. 86(8). 676–687. 36 indexed citations

16.

Bogle, Gib, et al.. (1994). LISSAJOUS KNOTS. Journal of Knot Theory and Its Ramifications. 3(2). 121–140. 31 indexed citations

17.

Stanford, J.L., et al.. (1987). Protective effect of BCG in Ahmednagar, India. Tubercle. 68(3). 169–176. 10 indexed citations

18.

Bogle, Gib & Michael J. O’Sullivan. (1980). The Effect of Storage Carryover on Plant Expansion Planning. Journal of the Operational Research Society. 31(4). 319–324. 3 indexed citations

19.

Bogle, Gib & Michael J. O’Sullivan. (1979). Stochastic optimization of water supply expansion. Water Resources Research. 15(5). 1229–1237. 8 indexed citations

20.

Bogle, Gib & Michael J. O’Sullivan. (1979). Stochastic optimization of a water supply system. Water Resources Research. 15(4). 778–786. 21 indexed citations

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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