James S. Blachly

6.0k total citations
126 papers, 1.6k citations indexed

About

James S. Blachly is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, James S. Blachly has authored 126 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Hematology, 56 papers in Molecular Biology and 56 papers in Genetics. Recurrent topics in James S. Blachly's work include Acute Myeloid Leukemia Research (57 papers), Chronic Lymphocytic Leukemia Research (48 papers) and Acute Lymphoblastic Leukemia research (18 papers). James S. Blachly is often cited by papers focused on Acute Myeloid Leukemia Research (57 papers), Chronic Lymphocytic Leukemia Research (48 papers) and Acute Lymphoblastic Leukemia research (18 papers). James S. Blachly collaborates with scholars based in United States, United Kingdom and Germany. James S. Blachly's co-authors include John C. Byrd, Robert A. Baiocchi, Michael R. Grever, Shelley Orwick, Clara D. Bloomfield, Jessica Kohlschmidt, Deedra Nicolet, Krzysztof Mrózek, Jonathan E. Kolitz and Richard M. Stone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

James S. Blachly

112 papers receiving 1.6k citations

Peers

James S. Blachly

HEMAT

GENET

PFM

Martin Jädersten Sweden

Yosuke Minami Japan

Fumihiko Hayakawa Japan

Carmen Chillón Spain

Emanuele Ammatuna Netherlands

Nicholas Lea United Kingdom

Michal Bar‐Natan United States

Anna Tamburini Italy

Folker Schneller Germany

Dario Ferrero Italy

Martin Jädersten Sweden

James S. Blachly

1.7k ×2.2

HEMAT

857 ×1.1

795 ×1.4

GENET

185 ×0.6

PFM

205 ×0.7

Citations per year, relative to James S. Blachly James S. Blachly (= 1×) peers Martin Jädersten

Countries citing papers authored by James S. Blachly

Since Specialization

Citations

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

Fields of papers citing papers by James S. Blachly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Blachly. 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 James S. Blachly. The network helps show where James S. Blachly may publish in the future.

Co-authorship network of co-authors of James S. Blachly

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

All Works

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20 of 20 papers shown

Nicolet, Deedra, Daelynn R. Buelow, Shelley Orwick, et al.. (2025). Prognostic, biological, and structural implications of FLT3-JMD point mutations in acute myeloid leukemia: an analysis of Alliance studies. Leukemia. 39(3). 623–631. 1 indexed citations

Zhao, Qiuhong, Andrew Stiff, Seema A. Bhat, et al.. (2024). Incidence, description, and timing of serious and opportunistic infections in patients with hairy cell leukemia. SHILAP Revista de lepidopterología. 5(5). 1005–1009.

Desai, Pinkal, Sagar Lonial, Amanda F. Cashen, et al.. (2024). A Phase 1 First-in-Human Study of the MCL-1 Inhibitor AZD5991 in Patients with Relapsed/Refractory Hematologic Malignancies. Clinical Cancer Research. 30(21). 4844–4855. 15 indexed citations

Kohlschmidt, Jessica, Krzysztof Mrózek, Deedra Nicolet, et al.. (2023). Association of social deprivation with survival in younger adult patients with AML: an Alliance study. Blood Advances. 7(15). 4019–4023. 5 indexed citations

Buelow, Daelynn R., Bhavana Bhatnagar, Shelley Orwick, et al.. (2022). BMX kinase mediates gilteritinib resistance inFLT3-mutated AML through microenvironmental factors. Blood Advances. 6(17). 5049–5060. 7 indexed citations

Symmans, W. Fraser, Yujia Wen, Charles M. Perou, et al.. (2022). Challenges and Gaps in Clinical Trial Genomic Data Management. JCO Clinical Cancer Informatics. 6(6). e2100193–e2100193. 2 indexed citations

Özer, Hatice Gülçin, Pierluigi Gasparini, Giovanni Nigita, et al.. (2022). HDAC1 regulates the chromatin landscape to control transcriptional dependencies in chronic lymphocytic leukemia. Blood Advances. 7(12). 2897–2911. 7 indexed citations

Walker, Alison R., John C. Byrd, James S. Blachly, et al.. (2020). Entospletinib in Combination with Induction Chemotherapy in Previously Untreated Acute Myeloid Leukemia: Response and Predictive Significance of HOXA9 and MEIS1 Expression. Clinical Cancer Research. 26(22). 5852–5859. 27 indexed citations

Woyach, Jennifer A., James S. Blachly, Kerry A. Rogers, et al.. (2020). Acalabrutinib plus Obinutuzumab in Treatment-Naïve and Relapsed/Refractory Chronic Lymphocytic Leukemia. Cancer Discovery. 10(3). 394–405. 57 indexed citations

10.

Buelow, Daelynn R., Mingshan Niu, Eric D. Eisenmann, et al.. (2020). TP-0903 is active in models of drug-resistant acute myeloid leukemia. JCI Insight. 5(23). 21 indexed citations

11.

Brinton, Lindsey T., Pu Zhang, Katie Williams, et al.. (2020). Synergistic effect of BCL2 and FLT3 co-inhibition in acute myeloid leukemia. Journal of Hematology & Oncology. 13(1). 139–139. 37 indexed citations

12.

Gregory, Charles T., Apollinaire Ngankeu, Shelley Orwick, et al.. (2020). Characterization and mitigation of fragmentation enzyme-induced dual stranded artifacts. NAR Genomics and Bioinformatics. 2(4). lqaa070–lqaa070. 6 indexed citations

13.

Dauki, Anees M., James S. Blachly, Esko A. Kautto, et al.. (2019). Transcriptionally Active Androgen Receptor Splice Variants Promote Hepatocellular Carcinoma Progression. Cancer Research. 80(3). 561–575. 29 indexed citations

14.

Cremer, Anjali, Jana M. Ellegast, Gabriela Alexe, et al.. (2019). Resistance Mechanisms to SYK Inhibition in Acute Myeloid Leukemia. Cancer Discovery. 10(2). 214–231. 26 indexed citations

15.

Rogers, Kerry A., Luay Mousa, Qiuhong Zhao, et al.. (2017). Incidence and Type of Opportunistic Infections during Ibrutinib Treatment at a Single Academic Center. Blood. 130(Suppl_1). 830–830. 23 indexed citations

16.

Eisfeld, Ann‐Kathrin, Jessica Kohlschmidt, Krzysztof Mrózek, et al.. (2017). Neurofibromin 1 gene Mutations Are Recurrent Events in Adult Patients with Acute Myeloid Leukemia (AML), Associate with Poor Outcome and Refine the Adverse European Leukemianet (ELN) Risk Category. Blood. 130. 186–186.

17.

Eisfeld, Ann‐Kathrin, Jessica Kohlschmidt, Krzysztof Mrózek, et al.. (2016). Mutational Landscape and Gene Expression Patterns in Adult Acute Myeloid Leukemias with Monosomy 7 as a Sole Abnormality. Cancer Research. 77(1). 207–218. 16 indexed citations

18.

Walker, Christopher J., Sandya Liyanarachchi, Xiaomeng Huang, et al.. (2016). Dissection of the Major Hematopoietic Quantitative Trait Locus in Chromosome 6q23.3 Identifies miR-3662 as a Player in Hematopoiesis and Acute Myeloid Leukemia. Cancer Discovery. 6(9). 1036–1051. 13 indexed citations

19.

Ewald, Brett, Chaomei Liu, Melanie Sulda, et al.. (2016). HDAC Inhibition Induces MicroRNA-182, which Targets RAD51 and Impairs HR Repair to Sensitize Cells to Sapacitabine in Acute Myelogenous Leukemia. Clinical Cancer Research. 22(14). 3537–3549. 53 indexed citations

20.

Lozanski, Gerard, et al.. (2016). MuCor: mutation aggregation and correlation. Bioinformatics. 32(10). 1557–1558. 13 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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