Lan Beppu

9.4k total citations
30 papers, 625 citations indexed

About

Lan Beppu is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lan Beppu has authored 30 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 11 papers in Genetics and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lan Beppu's work include Chronic Myeloid Leukemia Treatments (18 papers), Acute Myeloid Leukemia Research (13 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Lan Beppu is often cited by papers focused on Chronic Myeloid Leukemia Treatments (18 papers), Acute Myeloid Leukemia Research (13 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Lan Beppu collaborates with scholars based in United States, Australia and South Korea. Lan Beppu's co-authors include Jerald P. Radich, Frederick R. Appelbaum, Eileen Bryant, Timothy P. Hughes, Andreas Hochhaus, Giuseppe Saglio, Susan Branford, Dong‐Wook Kim, Martin C. Müller and Giovanni Martinelli and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Lan Beppu

25 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Beppu United States 11 569 405 240 164 76 30 625
Simona Luatti Italy 12 703 1.2× 622 1.5× 444 1.9× 82 0.5× 64 0.8× 24 788
Alessandra Gnani Italy 7 727 1.3× 597 1.5× 405 1.7× 157 1.0× 72 0.9× 16 788
Scott Edmands United States 8 516 0.9× 238 0.6× 150 0.6× 215 1.3× 60 0.8× 9 567
Sara Dellasala United States 11 622 1.1× 388 1.0× 149 0.6× 91 0.6× 20 0.3× 33 695
Daniela Cilloni Italy 6 581 1.0× 255 0.6× 138 0.6× 242 1.5× 28 0.4× 11 649
Dushyant Verma United States 10 415 0.7× 289 0.7× 112 0.5× 75 0.5× 48 0.6× 14 486
DK Hossfeld Germany 4 467 0.8× 359 0.9× 205 0.9× 104 0.6× 57 0.8× 15 535
Haley Altamura Australia 6 382 0.7× 319 0.8× 178 0.7× 43 0.3× 73 1.0× 8 408
M. C. Muller Germany 7 288 0.5× 235 0.6× 161 0.7× 35 0.2× 43 0.6× 7 350
Gautam Borthakur United States 12 415 0.7× 215 0.5× 92 0.4× 98 0.6× 20 0.3× 83 494

Countries citing papers authored by Lan Beppu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Beppu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Beppu

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Beppu. A scholar is included among the top collaborators of Lan Beppu 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 Lan Beppu. Lan Beppu 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
2.
Krakow, Elizabeth F., Nathan Lee, Isaac Jenkins, et al.. (2025). A clinical solution for tracking clonal evolution of acute myeloid leukemia after allogeneic transplantation using bulk next generation sequencing. Bone Marrow Transplantation. 60(8). 1083–1091.
3.
Vedula, Rahul S., Jeremy Koob, Jacqueline S. Garcia, et al.. (2024). CRISPR-based rapid molecular diagnostic tests for fusion-driven leukemias. Blood. 144(12). 1290–1299. 4 indexed citations
4.
Sciambi, Adam, Daniel Mendoza, Kathryn Thompson, et al.. (2024). Single-Cell Multi-Omic Analysis of AML MRD Reveals Differences in Clonal Architecture between Relapse and Non-Relapse Cases. Blood. 144(Supplement 1). 1568–1568.
5.
Malig, Maika, Olga Sala‐Torra, Mary Wood, et al.. (2024). Genomic Proximity Mapping (GPM): Evaluation of a Next Generation Cytogenomic Assay for Improved Risk Stratification in Acute Myeloid Leukemia. Blood. 144(Supplement 1). 6157–6157. 1 indexed citations
6.
Othus, Megan, Rhonda E. Ries, Jasmine Naru, et al.. (2024). Evaluation of ELN2022 Risk Stratification in NPM1 Mutated AML: A Study from the Fred Hutch and SWOG. Blood. 144(Supplement 1). 4309–4309.
7.
Sala‐Torra, Olga, Lan Beppu, Danny E. Miller, et al.. (2024). Expanding the Role of SH2B3: T Cell Large Granular Lymphocytosis (LGL) and Common Variable Immune Deficiency in the Setting of Biallelic SH2B3 Mutations. Blood. 144(Supplement 1). 3919–3919. 1 indexed citations
8.
Dillon, Laura W., Jake Higgins, Megan Othus, et al.. (2023). Quantification of measurable residual disease using duplex sequencing in adults with acute myeloid leukemia. Haematologica. 109(2). 401–410. 18 indexed citations
9.
Sala‐Torra, Olga, Ling‐Hong Hung, Lan Beppu, et al.. (2023). Rapid detection of myeloid neoplasm fusions using single-molecule long-read sequencing. SHILAP Revista de lepidopterología. 3(9). e0002267–e0002267. 3 indexed citations
11.
Stevens, Emily A., Isaac Jenkins, Lan Beppu, et al.. (2020). Targeted Sequencing Improves DIPSS-Plus Prognostic Scoring in Myelofibrosis Patients Undergoing Allogeneic Transplantation. Biology of Blood and Marrow Transplantation. 26(7). 1371–1374. 9 indexed citations
12.
Schmitt, Michael, Justin R. Pritchard, Lan Beppu, et al.. (2018). Single-Molecule Sequencing Reveals Patterns of Preexisting Drug Resistance That Suggest Treatment Strategies in Philadelphia-Positive Leukemias. Clinical Cancer Research. 24(21). 5321–5334. 27 indexed citations
13.
Sala‐Torra, Olga, Megan Othus, David Williamson, et al.. (2017). Next-Generation Sequencing in Adult B Cell Acute Lymphoblastic Leukemia Patients. Biology of Blood and Marrow Transplantation. 23(4). 691–696. 36 indexed citations
14.
Egan, Daniel, Lan Beppu, & Jerald P. Radich. (2014). Patients with Philadelphia-Positive Leukemia with BCR-ABL Kinase Mutations before Allogeneic Transplantation Predominantly Relapse with the Same Mutation. Biology of Blood and Marrow Transplantation. 21(1). 184–189. 14 indexed citations
15.
Egan, Daniel, Lan Beppu, & Jerald P. Radich. (2013). Patients With Philadelphia-Positive Leukemia With BCR-ABL Kinase Mutations Prior To Allogeneic Transplantation Predominantly Relapse With The Same Mutation. Blood. 122(21). 4043–4043. 1 indexed citations
16.
Hughes, Timothy P., Giovanni Martinelli, Susan Branford, et al.. (2010). Early molecular response to nilotinib in patients who failed imatinib is associated with a higher probability of cytogenetic response in chronic myeloid leukemia (CML). Haematologica. 95. 54–54. 1 indexed citations
17.
Hughes, Timothy P., Giuseppe Saglio, Susan Branford, et al.. (2009). Impact of Baseline BCR-ABL Mutations on Response to Nilotinib in Patients With Chronic Myeloid Leukemia in Chronic Phase. Journal of Clinical Oncology. 27(25). 4204–4210. 236 indexed citations
20.
Stirewalt, Derek L., Katherine A. Guthrie, Lan Beppu, et al.. (2003). Predictors of relapse and overall survival in Philadelphia chromosome[ndash ]positive acute lymphoblastic leukemia after transplantation. Biology of Blood and Marrow Transplantation. 9(3). 206–212. 12 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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