Mikhail Roshal

8.8k total citations · 1 hit paper
103 papers, 4.3k citations indexed

About

Mikhail Roshal is a scholar working on Hematology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Mikhail Roshal has authored 103 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Hematology, 31 papers in Molecular Biology and 29 papers in Pathology and Forensic Medicine. Recurrent topics in Mikhail Roshal's work include Acute Myeloid Leukemia Research (37 papers), Lymphoma Diagnosis and Treatment (28 papers) and Multiple Myeloma Research and Treatments (19 papers). Mikhail Roshal is often cited by papers focused on Acute Myeloid Leukemia Research (37 papers), Lymphoma Diagnosis and Treatment (28 papers) and Multiple Myeloma Research and Treatments (19 papers). Mikhail Roshal collaborates with scholars based in United States, France and Italy. Mikhail Roshal's co-authors include Jae H. Park, P. Maslak, Michel Sadelain, Brigitte Sénéchal, Isabelle Rivière, Xiuyan Wang, Renier J. Brentjens, Marco L. Davila, Kevin J. Curran and Mithat Gönen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mikhail Roshal

94 papers receiving 4.2k citations

Hit Papers

Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphobl... 2018 2026 2020 2023 2018 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphoblastic Leukemia
    2018 1.8k citations Jae H. Park, Mikhail Roshal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Roshal United States 27 2.3k 1.4k 1.2k 862 593 103 4.3k
Yolanda D. Mahnke United States 19 4.4k 1.9× 1.7k 1.2× 610 0.5× 2.6k 3.1× 1.2k 2.1× 32 6.4k
Adam D. Cohen United States 41 3.2k 1.4× 2.7k 1.9× 2.2k 1.8× 2.1k 2.4× 379 0.6× 201 6.0k
Sarah Nikiforow United States 31 1.8k 0.8× 463 0.3× 1.2k 0.9× 1.4k 1.6× 310 0.5× 152 3.4k
Dirk Nagorsen United States 33 2.7k 1.1× 961 0.7× 616 0.5× 2.3k 2.7× 249 0.4× 88 4.4k
Kristen Hege United States 36 3.6k 1.6× 1.9k 1.4× 792 0.6× 2.5k 2.9× 887 1.5× 90 5.2k
Joseph W. Fay United States 43 2.3k 1.0× 1.7k 1.2× 1.7k 1.4× 3.7k 4.2× 394 0.7× 105 6.3k
David DiGiusto United States 20 1.3k 0.6× 1.2k 0.9× 299 0.2× 1.0k 1.2× 766 1.3× 49 2.8k
Jeffrey J. Molldrem United States 46 3.4k 1.5× 1.6k 1.2× 3.8k 3.1× 4.1k 4.7× 819 1.4× 163 8.5k
Persis Amrolia United Kingdom 41 2.0k 0.9× 691 0.5× 2.2k 1.8× 2.1k 2.4× 1.0k 1.8× 115 5.1k
Marie Bleakley United States 27 2.0k 0.9× 612 0.4× 885 0.7× 1.5k 1.8× 690 1.2× 55 3.4k

Countries citing papers authored by Mikhail Roshal

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Roshal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Roshal

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Roshal. A scholar is included among the top collaborators of Mikhail Roshal 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 Mikhail Roshal. Mikhail Roshal 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.
Kang, Tae Sun, Qi Gao, Liming Bao, et al.. (2025). Co-mapping clonal and transcriptional heterogeneity in somatic evolution via GoT-Multi. Cell Genomics. 6(1). 101036–101036.
2.
Pourmaleki, Maryam, Priyadarshini Kumar, Miguel Foronda, et al.. (2024). Multiplexed Spatial Profiling of Hodgkin Reed–Sternberg Cell Neighborhoods in Classic Hodgkin Lymphoma. Clinical Cancer Research. 30(17). 3881–3893. 7 indexed citations
3.
Chan, Alexander, Qi Gao, Paola Ghione, et al.. (2024). Role of flow cytometric immunophenotyping in the diagnosis of breast implant‐associated anaplastic large cell lymphoma: A 6‐year, single‐institution experience. Cytometry Part B Clinical Cytometry. 106(2). 117–125. 1 indexed citations
4.
Ceglia, Nicholas, Jean-Benoît Le Luduec, Andrew McPherson, et al.. (2023). Immune profiling after allogeneic hematopoietic cell transplantation in pediatric acute myeloid leukemia. Blood Advances. 7(17). 5069–5081. 5 indexed citations
5.
Robinson, Troy M., Robert L. Bowman, Ying Liu, et al.. (2023). Single-cell genotypic and phenotypic analysis of measurable residual disease in acute myeloid leukemia. Science Advances. 9(38). eadg0488–eadg0488. 24 indexed citations
6.
Chen, Xueyan, Qi Gao, Mikhail Roshal, & Sindhu Cherian. (2023). Flow cytometric assessment for minimal/measurable residual disease in B lymphoblastic leukemia/lymphoma in the era of immunotherapy. Cytometry Part B Clinical Cytometry. 104(3). 205–223. 7 indexed citations
7.
Stahl, Maximilian, Kamal Menghrajani, Andriy Derkach, et al.. (2021). Clinical and molecular predictors of response and survival following venetoclax therapy in relapsed/refractory AML. Blood Advances. 5(5). 1552–1564. 108 indexed citations
8.
Maclachlan, Kylee, Neil Came, Benjamin Diamond, et al.. (2021). Minimal residual disease in multiple myeloma: defining the role of next generation sequencing and flow cytometry in routine diagnostic use. Pathology. 53(3). 385–399. 16 indexed citations
9.
10.
Yabe, Mariko, Qi Gao, Neval Özkaya, et al.. (2020). Bright PD-1 expression by flow cytometry is a powerful tool for diagnosis and monitoring of angioimmunoblastic T-cell lymphoma. Blood Cancer Journal. 10(3). 32–32. 12 indexed citations
11.
Roshal, Mikhail. (2020). Measurable disease evaluation in patients with myeloma. Best Practice & Research Clinical Haematology. 33(1). 101154–101154. 4 indexed citations
12.
Diamond, Benjamin, Even H Rustad, Kylee Maclachlan, et al.. (2020). Defining the undetectable: The current landscape of minimal residual disease assessment in multiple myeloma and goals for future clarity. Blood Reviews. 46. 100732–100732. 17 indexed citations
13.
Petrova‐Drus, Kseniya, Connie Lee Batlevi, Maria E. Arcila, et al.. (2019). Divergent clonal evolution of a common precursor to mantle cell lymphoma and classic Hodgkin lymphoma. Molecular Case Studies. 5(6). a004259–a004259. 8 indexed citations
14.
Xiao, Wenbin, Mariko Yabe, Michael Offin, et al.. (2018). Evolution of a chemosensitive core-binding factor AML into an aggressive leukemia with eosinophilic differentiation. Blood Advances. 2(13). 1517–1521. 2 indexed citations
15.
Forlenza, Christopher J., Yanming Zhang, JinJuan Yao, et al.. (2018). A case of KMT2A–SEPT9 fusion–associated acute megakaryoblastic leukemia. Molecular Case Studies. 4(6). a003426–a003426. 3 indexed citations
16.
Amatangelo, Michael, Lynn Quek, Alan H. Shih, et al.. (2017). Enasidenib induces acute myeloid leukemia cell differentiation to promote clinical response. Blood. 130(6). 732–741. 249 indexed citations
17.
18.
Khattar, Pallavi, Janine Pichardo, Achim A. Jungbluth, et al.. (2017). B- Cell Maturation Antigen Is Exclusively Expressed in a Wide Range of B-Cell and Plasma Cell Neoplasm and in a Potential Therapeutic Target for Bcma Directed Therapies. Blood. 130. 2755–2755. 12 indexed citations
19.
Shaz, Beth H., Christopher D. Hillyer, Mikhail Roshal, & Charles S. Abrams. (2013). Transfusion medicine and hemostasis : clinical and laboratory aspects. Elsevier eBooks. 55 indexed citations
20.
Chandler, Wayne L. & Mikhail Roshal. (2009). Optimization of Plasma Fluorogenic Thrombin-Generation Assays. American Journal of Clinical Pathology. 132(2). 169–179. 38 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yolanda D. Mahnke Breakdown of academic impact, for papers by Adam D. Cohen Breakdown of academic impact, for papers by Sarah Nikiforow Breakdown of academic impact, for papers by Dirk Nagorsen Breakdown of academic impact, for papers by Kristen Hege Breakdown of academic impact, for papers by Joseph W. Fay Breakdown of academic impact, for papers by David DiGiusto Breakdown of academic impact, for papers by Jeffrey J. Molldrem Breakdown of academic impact, for papers by Persis Amrolia Breakdown of academic impact, for papers by Marie Bleakley
Rankless by CCL
2026