Brent Tan

2.0k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Brent Tan is a scholar working on Oncology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Brent Tan has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Pathology and Forensic Medicine and 8 papers in Hematology. Recurrent topics in Brent Tan's work include Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (6 papers) and Viral-associated cancers and disorders (6 papers). Brent Tan is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (6 papers) and Viral-associated cancers and disorders (6 papers). Brent Tan collaborates with scholars based in United States, Japan and Spain. Brent Tan's co-authors include Irving L. Weissman, Laurie Ailles, Holbrook E. Kohrt, Feifei Zhao, Raquel Malumbres, Ravindra Majeti, Charles K. F. Chan, Mark P. Chao, Ronald Levy and Izidore S. Lossos and has published in prestigious journals such as Cell, Blood and The American Journal of Surgical Pathology.

In The Last Decade

Brent Tan

24 papers receiving 1.4k citations

Hit Papers

Anti-CD47 Antibody Synergizes with Rituximab to Promote P... 2010 2026 2015 2020 2010 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
Brent Tan United States 10 780 586 365 222 185 26 1.4k
Chris Morehouse United States 24 1.0k 1.3× 477 0.8× 580 1.6× 221 1.0× 99 0.5× 42 2.2k
Gyeongsin Park South Korea 18 267 0.3× 431 0.7× 269 0.7× 308 1.4× 167 0.9× 80 1.1k
Martin Kornacker Germany 20 399 0.5× 564 1.0× 380 1.0× 317 1.4× 51 0.3× 59 1.3k
Odile David United States 17 352 0.5× 416 0.7× 414 1.1× 209 0.9× 65 0.4× 51 1.3k
Nadja Zaborsky Austria 18 386 0.5× 336 0.6× 283 0.8× 138 0.6× 54 0.3× 49 945
Geralyn M. Meny United States 8 995 1.3× 892 1.5× 578 1.6× 70 0.3× 81 0.4× 19 1.7k
Jenna M. Sullivan United States 10 1.9k 2.5× 1.6k 2.7× 355 1.0× 284 1.3× 58 0.3× 23 2.6k
Juehua Gao United States 16 233 0.3× 253 0.4× 339 0.9× 321 1.4× 290 1.6× 60 1.1k
Jena D. French United States 16 650 0.8× 668 1.1× 294 0.8× 193 0.9× 42 0.2× 27 1.7k
Rosaria De Filippi Italy 19 386 0.5× 467 0.8× 307 0.8× 453 2.0× 34 0.2× 61 1.2k

Countries citing papers authored by Brent Tan

Since Specialization
Citations

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

Fields of papers citing papers by Brent Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brent Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Brent Tan. A scholar is included among the top collaborators of Brent Tan 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 Brent Tan. Brent Tan 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.
Khanna, Vishesh, Alexandria Jensen, Henning Stehr, et al.. (2025). Molecular taxonomy of MDS/CMML patients influences responses to hypomethylating agents and clinical outcomes. Leukemia Research. 156. 107736–107736. 1 indexed citations
2.
Oak, Jean, et al.. (2025). Implementation of beaker CP for flow cytometry: Workflow optimization and integration at Stanford Health Care. Cytometry Part B Clinical Cytometry. 108(2). 108–115.
3.
Khanna, Vishesh, Rong Lü, Jyoti Kumar, et al.. (2023). The clinical, molecular, and prognostic features of the 2022 WHO and ICC classification systems for myelodysplastic neoplasms. Leukemia Research. 136. 107433–107433. 5 indexed citations
4.
Kumar, Jyoti, et al.. (2022). Histiocytic Sarcoma WithCCND1Gene Rearrangement Clonally Related and Transdifferentiated From Mantle Cell Lymphoma. American Journal of Clinical Pathology. 158(4). 449–455. 3 indexed citations
5.
Tan, Brent, et al.. (2020). B-lymphoblastic leukemia arising in a patient with chronic neutrophilic leukemia. Blood Advances. 4(21). 5389–5392. 7 indexed citations
6.
King, Rebecca L., Brent Tan, Fiona E. Craig, et al.. (2020). Reactive Eosinophil Proliferations in Tissue and the Lymphocytic Variant of Hypereosinophilic Syndrome. American Journal of Clinical Pathology. 155(2). 211–238. 20 indexed citations
7.
Peerani, Raheem, et al.. (2019). Myeloid Cell Nuclear Differentiation Antigen (MNDA) Positivity in Primary Follicles: Potential Pitfall in the Differential Diagnosis With Marginal Zone Lymphoma. Applied immunohistochemistry & molecular morphology. 28(5). 384–388. 9 indexed citations
8.
Martinez, Olivia M., Sheri M. Krams, Scott D. Boyd, et al.. (2018). Prospective Analysis of EBV+ PTLD in a Multi-Center Study of Pediatric Transplant Recipients. Transplantation. 102(Supplement 7). S319–S319. 1 indexed citations
9.
Chisholm, Karen M., Robert S. Ohgami, Brent Tan, Robert P. Hasserjian, & Olga K. Weinberg. (2016). Primary lymphoma of bone in the pediatric and young adult population. Human Pathology. 60. 1–10. 31 indexed citations
10.
Tan, Brent, et al.. (2016). Hemophagocytic lymphohistiocytosis as a paraneoplastic syndrome associated with ovarian dysgerminoma. Gynecologic Oncology Reports. 17. 38–41. 2 indexed citations
11.
Tan, Brent, et al.. (2016). Implementation of Epic Beaker Clinical Pathology at Stanford University Medical Center. American Journal of Clinical Pathology. 147(3). 261–272. 5 indexed citations
12.
Satpathy, Ansuman T. & Brent Tan. (2015). Cellular morphology of BRAF V600E-positive Langerhans cell histiocytosis. Blood. 126(15). 1857–1857.
13.
Twist, Clare J., et al.. (2013). Angioimmunoblastic T Cell Lymphoma: An Unusual Presentation of Posttransplant Lymphoproliferative Disorder in a Pediatric Patient. Acta Haematologica. 131(2). 95–101. 6 indexed citations
16.
Chao, Mark P., Ash A. Alizadeh, Chad Tang, et al.. (2010). Anti-CD47 Antibody Synergizes with Rituximab to Promote Phagocytosis and Eradicate Non-Hodgkin Lymphoma. Cell. 142(5). 699–713. 845 indexed citations breakdown →
17.
Tan, Brent, Katie Seo, Roger A. Warnke, & Daniel A. Arber. (2008). The Frequency of Immunoglobulin Heavy Chain Gene and T-Cell Receptor γ-Chain Gene Rearrangements and Epstein-Barr Virus in ALK+ and ALK− Anaplastic Large Cell Lymphoma and Other Peripheral T-Cell Lymphomas. Journal of Molecular Diagnostics. 10(6). 502–512. 26 indexed citations
18.
Hosen, Naoki, Toshiaki Shirakata, Sumiyuki Nishida, et al.. (2007). The Wilms’ tumor gene WT1-GFP knock-in mouse reveals the dynamic regulation of WT1 expression in normal and leukemic hematopoiesis. Leukemia. 21(8). 1783–1791. 71 indexed citations
19.
Tan, Brent, Roger A. Warnke, & Daniel A. Arber. (2006). The Frequency of B- and T-Cell Gene Rearrangements and Epstein-Barr Virus in T-Cell Lymphomas. Journal of Molecular Diagnostics. 8(4). 466–475. 89 indexed citations
20.
Tan, Brent, et al.. (2006). The cancer stem cell hypothesis: a work in progress. Laboratory Investigation. 86(12). 1203–1207. 230 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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