Ryanne A. Brown

4.0k total citations · 1 hit paper
64 papers, 2.0k citations indexed

About

Ryanne A. Brown is a scholar working on Dermatology, Oncology and Physiology. According to data from OpenAlex, Ryanne A. Brown has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Dermatology, 14 papers in Oncology and 11 papers in Physiology. Recurrent topics in Ryanne A. Brown's work include Cancer and Skin Lesions (7 papers), Cutaneous lymphoproliferative disorders research (6 papers) and Histiocytic Disorders and Treatments (5 papers). Ryanne A. Brown is often cited by papers focused on Cancer and Skin Lesions (7 papers), Cutaneous lymphoproliferative disorders research (6 papers) and Histiocytic Disorders and Treatments (5 papers). Ryanne A. Brown collaborates with scholars based in United States, United Kingdom and Norway. Ryanne A. Brown's co-authors include John S. Colter, K.A.O. Ellem, Ansuman T. Satpathy, Howard Y. Chang, Christina Curtis, Rohit Gupta, Kavita Y. Sarin, Yanyan Qi, Jeffrey M. Granja and Robin Kageyama and has published in prestigious journals such as Nature, The Lancet and Nature Medicine.

In The Last Decade

Ryanne A. Brown

59 papers receiving 1.9k citations

Hit Papers

Clonal replacement of tumor-specific T cells following PD... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryanne A. Brown United States 17 925 710 545 186 163 64 2.0k
Nathaniel R. West Canada 20 891 1.0× 950 1.3× 583 1.1× 133 0.7× 256 1.6× 35 2.0k
Carmelo Rizzari Italy 34 572 0.6× 382 0.5× 851 1.6× 201 1.1× 140 0.9× 140 3.9k
José Luís Zamorano Spain 22 731 0.8× 1.2k 1.7× 457 0.8× 126 0.7× 226 1.4× 55 2.6k
Bicheng Zhang China 25 813 0.9× 509 0.7× 822 1.5× 389 2.1× 327 2.0× 97 2.8k
Michael S. von Bergwelt‐Baildon Germany 23 1.3k 1.4× 1.5k 2.1× 607 1.1× 138 0.7× 71 0.4× 44 2.9k
Jeroen J. W. M. Janssen Netherlands 29 642 0.7× 419 0.6× 749 1.4× 148 0.8× 140 0.9× 142 2.9k
Shernan G. Holtan United States 29 1.0k 1.1× 1.2k 1.7× 708 1.3× 214 1.2× 138 0.8× 176 3.5k
Aaron C. Logan United States 29 531 0.6× 522 0.7× 567 1.0× 134 0.7× 115 0.7× 117 2.6k
Luis Rodríguez‐Rodríguez Spain 24 258 0.3× 483 0.7× 458 0.8× 186 1.0× 162 1.0× 139 2.3k
Stuart S. Winter United States 31 640 0.7× 402 0.6× 809 1.5× 90 0.5× 187 1.1× 107 2.7k

Countries citing papers authored by Ryanne A. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Ryanne A. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryanne A. Brown

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

All Works

20 of 20 papers shown
1.
Kunder, Christian A., Joyce Teng, Ryanne A. Brown, et al.. (2022). Spitz nevus with EHBP1‐ALK fusion and distinctive membranous localization of ALK. Journal of Cutaneous Pathology. 49(6). 584–588. 4 indexed citations
2.
Ahmadian, Saman, Angus Toland, Romain Cayrol, et al.. (2022). Preferentially Expressed Antigen in Melanoma Immunohistochemistry Labeling in Uveal Melanomas. Ocular Oncology and Pathology. 8(2). 133–140. 10 indexed citations
3.
Wei, Mike, Christine Y. Louie, Yu Chen, et al.. (2022). Randomized controlled trial investigating use of submucosal injection of EverLift™ in rates of complete resection of non-pedunculated 4–9 mm polyps. International Journal of Colorectal Disease. 37(6). 1273–1279. 7 indexed citations
4.
Wei, Mike, Christine Y. Louie, Yu Chen, et al.. (2022). Randomized Controlled Trial Investigating Cold Snare and Forceps Polypectomy Among Small POLYPs in Rates of Complete Resection: The TINYPOLYP Trial. The American Journal of Gastroenterology. 117(8). 1305–1310. 18 indexed citations
5.
Cloutier, Jeffrey M., et al.. (2021). Cutaneous desmoid‐type fibromatosis: A rare case with molecular profiling. Journal of Cutaneous Pathology. 48(9). 1185–1188. 3 indexed citations
6.
Wang, Xi, Adam X. Sang, Ryanne A. Brown, et al.. (2021). High-resolution phenotyping of early acute rejection reveals a conserved alloimmune signature. Cell Reports. 34(9). 108806–108806. 12 indexed citations
7.
Fernandez‐Pol, Sebastian, et al.. (2020). Reticulohistiocytoma (solitary epithelioid histiocytoma) with mutations in RAF1 and TSC2. Journal of Cutaneous Pathology. 47(10). 985–987. 3 indexed citations
8.
Fernandez‐Pol, Sebastian, Erica Wang, Kerri E. Rieger, et al.. (2020). Cutaneous T-cell lymphomas with pathogenic somatic mutations and absence of detectable clonal T-cell receptor gene rearrangement: two case reports. Diagnostic Pathology. 15(1). 122–122. 10 indexed citations
9.
Chan, Warren, Aatman Shah, Gordon H. Bae, et al.. (2020). Disseminated non-Langerhans cell histiocytosis with an IRF2BP2-NTRK1 gene fusion identified by next-generation sequencing. JAAD Case Reports. 6(11). 1156–1158. 7 indexed citations
10.
Raghavan, Shyam S., Jennifer Y. Wang, Angus Toland, et al.. (2020). Diffuse PRAME expression is highly specific for malignant melanoma in the distinction from clear cell sarcoma. Journal of Cutaneous Pathology. 47(12). 1226–1228. 18 indexed citations
11.
Lerbs, Tristan, Lu Cui, Megan E. King, et al.. (2020). CD47 prevents the elimination of diseased fibroblasts in scleroderma. JCI Insight. 5(16). 25 indexed citations
12.
Satpathy, Ansuman T., Ryanne A. Brown, Carlos G. Briseño, et al.. (2018). Expression of the transcription factor ZBTB46 distinguishes human histiocytic disorders of classical dendritic cell origin. Modern Pathology. 31(9). 1479–1486. 12 indexed citations
13.
Huang, Laura C., Dita Gratzinger, Ryanne A. Brown, et al.. (2018). Orbital and chorioretinal manifestations of Erdheim-Chester disease treated with vemurafenib. American Journal of Ophthalmology Case Reports. 11. 158–163. 12 indexed citations
14.
Brown, Ryanne A., Sebastian Fernandez‐Pol, & Jinah Kim. (2017). Primary cutaneous anaplastic large cell lymphoma. Journal of Cutaneous Pathology. 44(6). 570–577. 38 indexed citations
15.
Brown, Ryanne A. & Todd T. Schlegel. (2011). Diagnostic utility of the spatial versus individual planar QRS-T angles in cardiac disease detection. Journal of Electrocardiology. 44(4). 404–409. 28 indexed citations
19.
Brown, Ryanne A., et al.. (1988). Measuring attitudes of doctors: the doctor‐patient (DP) rating. Medical Education. 22(3). 231–239. 50 indexed citations
20.
Brown, Ryanne A. & J. Swanson Beck. (1988). Statistics on microcomputers. A non-algebraic guide to their appropriate use in biomedical research and pathology practice. 3. Analysis of variance and distribution-free methods.. Journal of Clinical Pathology. 41(12). 1256–1262. 20 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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