Carly A. Bridge

1.2k total citations
10 papers, 881 citations indexed

About

Carly A. Bridge is a scholar working on Genetics, Modeling and Simulation and Oncology. According to data from OpenAlex, Carly A. Bridge has authored 10 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Modeling and Simulation and 3 papers in Oncology. Recurrent topics in Carly A. Bridge's work include Glioma Diagnosis and Treatment (7 papers), Mathematical Biology Tumor Growth (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Carly A. Bridge is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Mathematical Biology Tumor Growth (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Carly A. Bridge collaborates with scholars based in United States. Carly A. Bridge's co-authors include Kristin R. Swanson, J. D. Murray, Ellsworth C. Alvord, Anne Baldock, Jason K. Rockhill, Russell C. Rockne, Maciej M. Mrugała, Carolyn J. Torkelson, Andrew D. Trister and Ana Nelson and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Cancer Research.

In The Last Decade

Carly A. Bridge

10 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carly A. Bridge United States	8	387	287	230	188	166	10	881
Laurent Pujo-Menjouet France	16	201 0.5×	82 0.3×	57 0.2×	363 1.9×	58 0.3×	46	893
Christian Diehl Germany	13	44 0.1×	165 0.6×	123 0.5×	107 0.6×	47 0.3×	51	557
Jiguang Bao China	20	142 0.4×	35 0.1×	29 0.1×	295 1.6×	108 0.7×	82	1.2k
Verena Becker Germany	12	43 0.1×	53 0.2×	31 0.1×	474 2.5×	189 1.1×	20	789
Rory Martin United States	15	293 0.8×	17 0.1×	28 0.1×	323 1.7×	142 0.9×	23	896
Shangbin Cui China	25	873 2.3×	30 0.1×	19 0.1×	230 1.2×	66 0.4×	136	2.1k
Seth Michelson United States	14	127 0.3×	12 0.0×	76 0.3×	183 1.0×	119 0.7×	37	459
Mariko Hatakeyama Japan	17	45 0.1×	19 0.1×	136 0.6×	1.0k 5.4×	232 1.4×	42	1.3k
Jarosław Śmieja Poland	12	178 0.5×	11 0.0×	26 0.1×	192 1.0×	96 0.6×	48	407
Anastasios Matzavinos United States	14	316 0.8×	8 0.0×	43 0.2×	408 2.2×	158 1.0×	30	857

Countries citing papers authored by Carly A. Bridge

Since Specialization

Citations

This map shows the geographic impact of Carly A. Bridge'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 Carly A. Bridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carly A. Bridge more than expected).

Fields of papers citing papers by Carly A. Bridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carly A. Bridge. 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 Carly A. Bridge. The network helps show where Carly A. Bridge may publish in the future.

Co-authorship network of co-authors of Carly A. Bridge

This figure shows the co-authorship network connecting the top 25 collaborators of Carly A. Bridge. A scholar is included among the top collaborators of Carly A. Bridge 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 Carly A. Bridge. Carly A. Bridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Kumthekar, Priya, Vaibhav G. Patel, Carly A. Bridge, et al.. (2017). Prognosis of older patients with low-grade glioma: A retrospective study. PubMed. 4(5). 3 indexed citations

Baldock, Anne, Kevin Yagle, Donald E. Born, et al.. (2014). Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status. Neuro-Oncology. 16(6). 779–786. 62 indexed citations

Jackson, Pamela, Fillan S. Grady, Russell C. Rockne, et al.. (2014). BM-14 * A PARADIGM SHIFT IN DETERMINING BRAIN METASTASIS TREATMENT: DOES NUMBER REALLY MATTER?. Neuro-Oncology. 16(suppl 5). v35–v35. 1 indexed citations

Adair, Jennifer E., Sandra K. Johnston, Maciej M. Mrugała, et al.. (2014). Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patients. Journal of Clinical Investigation. 124(9). 4082–4092. 75 indexed citations

Neal, Maxwell L., Andrew D. Trister, Sunyoung Ahn, et al.. (2013). Response Classification Based on a Minimal Model of Glioblastoma Growth Is Prognostic for Clinical Outcomes and Distinguishes Progression from Pseudoprogression. Cancer Research. 73(10). 2976–2986. 49 indexed citations

Baldock, Anne, Russell C. Rockne, Anke Boone, et al.. (2013). From Patient-Specific Mathematical Neuro-Oncology to Precision Medicine. Frontiers in Oncology. 3. 62–62. 71 indexed citations

Neal, Maxwell L., Andrew D. Trister, Sunyoung Ahn, et al.. (2013). Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric. PLoS ONE. 8(1). e51951–e51951. 60 indexed citations

Standish, Leanna J., Erin Sweet, Jeffrey P. Novack, et al.. (2008). Breast cancer and the immune system.. PubMed. 6(4). 158–68. 75 indexed citations

Standish, Leanna J., Cynthia A. Wenner, Erin Sweet, et al.. (2008). Trametes versicolor mushroom immune therapy in breast cancer.. PubMed. 6(3). 122–8. 59 indexed citations

10.

Swanson, Kristin R., Carly A. Bridge, J. D. Murray, & Ellsworth C. Alvord. (2003). Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion. Journal of the Neurological Sciences. 216(1). 1–10. 426 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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