Gabrielle Brown

1.8k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Gabrielle Brown is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Gabrielle Brown has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 3 papers in Surgery. Recurrent topics in Gabrielle Brown's work include Lung Cancer Treatments and Mutations (5 papers), Head and Neck Cancer Studies (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Gabrielle Brown is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Head and Neck Cancer Studies (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Gabrielle Brown collaborates with scholars based in United States, Australia and Türkiye. Gabrielle Brown's co-authors include Marvin Rotman, R Pérez-Tamayo, Joseph P. Concannon, Luther W. Brady, Simon Krämer, P. Rubin, H. Gunter Seydel, James E. Marks, Kenneth Stanley and K. Stanley and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Cell Biology and Cancer.

In The Last Decade

Gabrielle Brown

14 papers receiving 1.3k citations

Hit Papers

A prospective randomized ... 1980 2026 1995 2010 1980 1982 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabrielle Brown United States 10 801 382 302 293 268 15 1.4k
K.K. Ang United States 15 508 0.6× 580 1.5× 302 1.0× 340 1.2× 128 0.5× 59 1.4k
Voichita Bar‐Ad United States 21 447 0.6× 514 1.3× 330 1.1× 281 1.0× 230 0.9× 98 1.4k
Luca Triggiani Italy 19 715 0.9× 324 0.8× 206 0.7× 198 0.7× 176 0.7× 85 1.2k
J Mesić United States 9 1.5k 1.9× 298 0.8× 112 0.4× 190 0.6× 213 0.8× 13 1.9k
Meng‐Zhong Liu China 22 723 0.9× 495 1.3× 316 1.0× 597 2.0× 223 0.8× 51 1.7k
Stella Y. Tsai Taiwan 19 373 0.5× 471 1.2× 157 0.5× 423 1.4× 325 1.2× 25 1.3k
Yeon‐Sil Kim South Korea 22 705 0.9× 546 1.4× 173 0.6× 507 1.7× 132 0.5× 110 1.6k
Horst Jürgen Feldmann Germany 16 967 1.2× 185 0.5× 142 0.5× 117 0.4× 327 1.2× 51 1.6k
Jan Halle United States 19 983 1.2× 677 1.8× 119 0.4× 91 0.3× 205 0.8× 44 1.5k
R. Semrau Germany 23 478 0.6× 493 1.3× 110 0.4× 408 1.4× 81 0.3× 59 1.3k

Countries citing papers authored by Gabrielle Brown

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle Brown. 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 Gabrielle Brown. The network helps show where Gabrielle Brown may publish in the future.

Co-authorship network of co-authors of Gabrielle Brown

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

All Works

15 of 15 papers shown
1.
Torres, Mylin A., Tian Liu, Boran Zhou, et al.. (2022). Abstract P3-19-29: Polygenic risk scores predict toxicities in racially diverse breast cancer patients following radiotherapy. Cancer Research. 82(4_Supplement). P3–19. 1 indexed citations
2.
McManus, Shauna, Manali Bhave, Gabrielle Brown, et al.. (2020). Breast cancer patient reported outcomes, depression, and objective measures of breast cosmesis.. Journal of Clinical Oncology. 38(15_suppl). 569–569. 1 indexed citations
3.
Andiç, Fundagül, Andrew H. Miller, Gabrielle Brown, et al.. (2019). Instruments for determining clinically relevant fatigue in breast cancer patients during radiotherapy. Breast Cancer. 27(2). 197–205. 9 indexed citations
4.
Bedford, Denise, et al.. (2015). Neighborhood‐level index of knowledge and intellectual capital. Proceedings of the Association for Information Science and Technology. 52(1). 1–4. 1 indexed citations
5.
Graham, Lloyd D., Susanne K. Pedersen, Gabrielle Brown, et al.. (2011). Colorectal Neoplasia Differentially Expressed (CRNDE), a Novel Gene with Elevated Expression in Colorectal Adenomas and Adenocarcinomas. Genes & Cancer. 2(8). 829–840. 220 indexed citations
6.
Shah, Jatin P., Lucy Hynds Karnell, Henry T. Hoffman, et al.. (1997). Patterns of Care for Cancer of the Larynx in the United States. Archives of Otolaryngology - Head and Neck Surgery. 123(5). 475–483. 126 indexed citations
7.
Hoffman, Henry T., Lucy Hynds Karnell, Jatin P. Shah, et al.. (1997). Hypopharyngeal Cancer Patient Care Evaluation. The Laryngoscope. 107(8). 1005–1017. 150 indexed citations
8.
Clarke, Laurence P., G. James Blaine, Kunio Doi, et al.. (1993). Digital mammography, cancer screening: Factors important for image compression. NASA Technical Reports Server (NASA). 3191. 63. 3 indexed citations
9.
Kelly, J L, et al.. (1993). Accumulation of PDGF B and cell-binding forms of PDGF A in the extracellular matrix.. The Journal of Cell Biology. 121(5). 1153–1163. 72 indexed citations
10.
Brown, Gabrielle, Melissa A. Brown, Douglas J. Hilton, N M Gough, & M.J. Sleigh. (1992). Inhibition of Differentiation in a Murine F9 Embryonal Carcinoma Cell Subline by Leukemia Inhibitory Factor (LIF). Growth Factors. 7(1). 41–52. 10 indexed citations
11.
Perez, Carlos A., Kenneth Stanley, W. F. Hanson, et al.. (1982). Impact of irradiation technique and tumor extent in tumor control and survival of patients with unresectable non-oat cell carcinoma of the lung. Report by the radiation therapy oncology group. Cancer. 50(6). 1091–1099. 322 indexed citations breakdown →
12.
Brown, Gabrielle, et al.. (1980). Radiation therapy for carcinoma of the skin of the face and neck. Special considerations.. PubMed. 244(10). 1135–7. 14 indexed citations
13.
Perez, Carlos A., K. Stanley, P. Rubin, et al.. (1980). Prospective randomized study of various irradiation doses and fractionation schedules in the treatment of inoperable non-oat-cell carcinoma of the lung. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations
14.
Pérez, Carlos A., K. Stanley, P. Rubin, et al.. (1980). A prospective randomized study of various irradiation doses and fractionation schedules in the treatment of inoperable non-oat-cell carcinoma of the lung. Preliminary report by the radiation therapy oncology group. Cancer. 45(11). 2744–2753. 343 indexed citations breakdown →
15.
Perez, Carlos A., Kenneth Stanley, P. Rubin, et al.. (1980). Patterns of tumor recurrence after definitive irradiation for inoperable non-oat cell carcinoma of the lung. International Journal of Radiation Oncology*Biology*Physics. 6(8). 987–994. 77 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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