Sanam Loghavi

12.8k total citations
226 papers, 2.9k citations indexed

About

Sanam Loghavi is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Sanam Loghavi has authored 226 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Hematology, 93 papers in Genetics and 51 papers in Pathology and Forensic Medicine. Recurrent topics in Sanam Loghavi's work include Acute Myeloid Leukemia Research (126 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (50 papers) and Chronic Lymphocytic Leukemia Research (45 papers). Sanam Loghavi is often cited by papers focused on Acute Myeloid Leukemia Research (126 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (50 papers) and Chronic Lymphocytic Leukemia Research (45 papers). Sanam Loghavi collaborates with scholars based in United States, United Kingdom and Japan. Sanam Loghavi's co-authors include L. Jeffrey Medeiros, Joseph D. Khoury, Hagop M. Kantarjian, Keyur P. Patel, Courtney D. DiNardo, Farhad Ravandi, Guillermo Garcia‐Manero, Elias Jabbour, Rashmi Kanagal‐Shamanna and Tapan M. Kadia and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Sanam Loghavi

204 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanam Loghavi United States 31 1.5k 851 826 721 662 226 2.9k
Juan Luis Garcı́a Spain 29 1.2k 0.8× 836 1.0× 1.3k 1.5× 984 1.4× 806 1.2× 127 3.2k
Jean‐Michel Cayuela France 33 2.1k 1.4× 837 1.0× 1.0k 1.2× 784 1.1× 487 0.7× 101 3.8k
Daobin Zhou China 28 961 0.6× 762 0.9× 633 0.8× 1.0k 1.4× 1.2k 1.9× 312 3.4k
Amanda F. Cashen United States 29 891 0.6× 549 0.6× 629 0.8× 1.0k 1.5× 1.4k 2.1× 121 2.9k
Paula Marlton Australia 27 1.2k 0.8× 789 0.9× 1.1k 1.3× 988 1.4× 1.0k 1.6× 137 3.1k
David Joske Australia 20 906 0.6× 809 1.0× 741 0.9× 634 0.9× 774 1.2× 45 2.6k
Stefan Hohaus Italy 39 1.5k 1.0× 591 0.7× 1.4k 1.7× 1.4k 1.9× 1.0k 1.5× 167 4.2k
Mireia Camós Spain 22 576 0.4× 500 0.6× 502 0.6× 547 0.8× 661 1.0× 57 1.8k
Julio Delgado Spain 35 1.1k 0.7× 1.6k 1.9× 647 0.8× 1.0k 1.4× 1.3k 2.0× 195 3.6k
Anne Tierens Norway 29 590 0.4× 659 0.8× 504 0.6× 778 1.1× 914 1.4× 101 2.2k

Countries citing papers authored by Sanam Loghavi

Since Specialization
Citations

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

Fields of papers citing papers by Sanam Loghavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanam Loghavi

This figure shows the co-authorship network connecting the top 25 collaborators of Sanam Loghavi. A scholar is included among the top collaborators of Sanam Loghavi 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 Sanam Loghavi. Sanam Loghavi 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.
2.
3.
Hu, Shimin, Jie Xu, Andres Quesada, et al.. (2025). 1308 The Value of Optical Genome Mapping in Diagnostically Challenging Cases of Low-Grade B-Cell Lymphoma. Laboratory Investigation. 105(3). 103544–103544.
4.
Wei, Qing, Shimin Hu, Sanam Loghavi, et al.. (2025). Chromoanagenesis Is Frequently Associated With Highly Complex Karyotypes, Extensive Clonal Heterogeneity, and Treatment Refractoriness in Acute Myeloid Leukemia. American Journal of Hematology. 100(3). 417–426. 6 indexed citations
5.
Wei, Qing, Sa A. Wang, Sanam Loghavi, et al.. (2024). Diagnostic utility of immunohistochemistry in detection of NPM1 mutations in acute myeloid leukemia with a patchy distribution. SHILAP Revista de lepidopterología. 5(2). 379–382. 2 indexed citations
6.
7.
Csizmar, Clifford M., Mark E. Gurney, Rashmi Kanagal‐Shamanna, et al.. (2024). Prognostic Impact of the Number of TET2 Mutations in Myelodysplastic and Myeloproliferative Chronic Myelomonocytic Leukemia (CMML). Blood. 144(Supplement 1). 1820–1820. 1 indexed citations
8.
Takahashi, Koichi, Sanam Loghavi, Tapan M. Kadia, et al.. (2024). FLAG-IDA + venetoclax in newly diagnosed (ND) or relapsed/refractory (RR) AML.. Journal of Clinical Oncology. 42(16_suppl). 6519–6519. 8 indexed citations
9.
10.
Mill, Christopher P., Warren Fiskus, John A. Davis, et al.. (2023). Causal linkage of presence of mutant NPM1 to efficacy of novel therapeutic agents against AML cells with mutant NPM1. Leukemia. 37(6). 1336–1348. 6 indexed citations
11.
Bataller, Álex, Alexandre Bazinet, Courtney D. DiNardo, et al.. (2023). Prognostic risk signature in patients with acute myeloid leukemia treated with hypomethylating agents and venetoclax. Blood Advances. 8(4). 927–935. 36 indexed citations
12.
Sasaki, Koji, Farhad Ravandi, Tapan M. Kadia, et al.. (2023). Prediction of survival with lower intensity therapy among older patients with acute myeloid leukemia. Cancer. 129(7). 1017–1029. 7 indexed citations
13.
Crane, Genevieve M. & Sanam Loghavi. (2023). Precision Molecular Pathology of Aggressive B-Cell Lymphomas. 1 indexed citations
14.
Fiskus, Warren, Christopher P. Mill, Christine Birdwell, et al.. (2023). Abstract 1140: Pre-clinical efficacy of targeting BAF complexes through inhibition of the dual ATPases BRG1 and BRM by FHD-286 in cellular models of AML. Cancer Research. 83(7_Supplement). 1140–1140.
15.
Loghavi, Sanam, Rashmi Kanagal‐Shamanna, Joseph D. Khoury, et al.. (2023). Fifth Edition of the World Health Classification of Tumors of the Hematopoietic and Lymphoid Tissue: Myeloid Neoplasms. Modern Pathology. 37(2). 100397–100397. 17 indexed citations
16.
Kim, Kunhwa, Marina Konopleva, Courtney D. DiNardo, et al.. (2022). Urgent cytoreduction for newly diagnosed acute myeloid leukemia patients allows acquisition of pretreatment genomic data and enrollment on investigational clinical trials. American Journal of Hematology. 97(7). 885–894. 6 indexed citations
17.
Venugopal, Sangeetha, Koichi Takahashi, Naval Daver, et al.. (2022). Efficacy and safety of enasidenib and azacitidine combination in patients with IDH2 mutated acute myeloid leukemia and not eligible for intensive chemotherapy. Blood Cancer Journal. 12(1). 10–10. 63 indexed citations
18.
Hussein, Siba El, Sa A. Wang, Naveen Pemmaraju, Joseph D. Khoury, & Sanam Loghavi. (2021). Chronic Myelomonocytic Leukemia: Hematopathology Perspective. SHILAP Revista de lepidopterología. 4(3). 142–149. 5 indexed citations
19.
Loghavi, Sanam, Ken H. Young, Imran Siddiqi, et al.. (2016). Preleukemic phase of chronic myelogenous leukemia: morphologic and immunohistochemical characterization of 7 cases. Annals of Diagnostic Pathology. 21. 53–58. 9 indexed citations
20.
Graham, Kareem L., Brian A. Zabel, Sanam Loghavi, et al.. (2009). Chemokine-Like Receptor-1 Expression by Central Nervous System-Infiltrating Leukocytes and Involvement in a Model of Autoimmune Demyelinating Disease. The Journal of Immunology. 183(10). 6717–6723. 72 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 Juan Luis Garcı́a Breakdown of academic impact, for papers by Jean‐Michel Cayuela Breakdown of academic impact, for papers by Daobin Zhou Breakdown of academic impact, for papers by Amanda F. Cashen Breakdown of academic impact, for papers by Paula Marlton Breakdown of academic impact, for papers by David Joske Breakdown of academic impact, for papers by Stefan Hohaus Breakdown of academic impact, for papers by Mireia Camós Breakdown of academic impact, for papers by Julio Delgado Breakdown of academic impact, for papers by Anne Tierens
Rankless by CCL
2026