Anoop Enjeti

2.7k total citations · 1 hit paper
75 papers, 1.6k citations indexed

About

Anoop Enjeti is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Anoop Enjeti has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hematology, 26 papers in Molecular Biology and 20 papers in Genetics. Recurrent topics in Anoop Enjeti's work include Acute Myeloid Leukemia Research (29 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Acute Lymphoblastic Leukemia research (10 papers). Anoop Enjeti is often cited by papers focused on Acute Myeloid Leukemia Research (29 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Acute Lymphoblastic Leukemia research (10 papers). Anoop Enjeti collaborates with scholars based in Australia, United States and United Kingdom. Anoop Enjeti's co-authors include Lisa F. Lincz, Michael Seldon, Andrew H. Wei, Tara L. Lin, Stephen A. Strickland, Walter Fiedler, Roland B. Walter, Gail J. Roboz, Kaffa Fakouhi and John Hayslip and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Anoop Enjeti

74 papers receiving 1.6k citations

Hit Papers

Venetoclax Combined With Low-Dose Cytarabine for Previous... 2019 2026 2021 2023 2019 100 200 300 400
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. Venetoclax Combined With Low-Dose Cytarabine for Previously Untreated Patients With Acute Myeloid Leukemia: Results From a Phase Ib/II Study
    2019 456 citations Andrew H. Wei, Stephen A. Strickland et al. Journal of Clinical Oncology profile →

Peers

Anoop Enjeti
Massimo Iacobelli United States
Giampaolo Talamo United States
Marinus van Marwijk Kooy Netherlands
Samart Pakakasama Thailand
Marciano D. Reis Canada
Raj S. Kasthuri United States
Mathilde Hunault France
Nongnuch Sirachainan Thailand
Massimo Martino Italy
Ulf‐Henrik Mellqvist Sweden
Massimo Iacobelli United States
Anoop Enjeti
Citations per year, relative to Anoop Enjeti Anoop Enjeti (= 1×) peers Massimo Iacobelli

Countries citing papers authored by Anoop Enjeti

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Enjeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Enjeti

This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Enjeti. A scholar is included among the top collaborators of Anoop Enjeti 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 Anoop Enjeti. Anoop Enjeti 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.
Bond, Danielle R., B. M. R. Harvey, Luiza Steffens Reinhardt, et al.. (2025). Hypomethylating agents induce epigenetic and transcriptional heterogeneity with implications for acute myeloid leukemia cell self-renewal. Leukemia. 39(9). 2275–2280.
2.
Enjeti, Anoop, et al.. (2024). Certainty in uncertainty: Determining the rate and reasons for reclassification of variants of uncertain significance in haematological malignancies. SHILAP Revista de lepidopterología. 5(5). 957–963. 1 indexed citations
3.
4.
Enjeti, Anoop, William E. Fogler, Theodore A Smith, et al.. (2024). Combining 5‐azacitidine with the E‐selectin antagonist uproleselan is an effective strategy to augment responses in myelodysplasia and acute myeloid leukaemia. British Journal of Haematology. 204(6). 2264–2274. 1 indexed citations
5.
Enjeti, Anoop, et al.. (2024). Real‐world study of the use of azacitidine in myelodysplasia in Australia. SHILAP Revista de lepidopterología. 5(3). 527–534. 1 indexed citations
6.
7.
Miyamoto, Toshihiro, David Sanford, Ciprian Tomuleasa, et al.. (2022). Real-world treatment patterns and clinical outcomes in patients with AML unfit for first-line intensive chemotherapy *. Leukemia & lymphoma. 63(4). 928–938. 8 indexed citations
8.
Leung, Halina, José Perdomo, Zohra Ahmadi, et al.. (2022). NETosis and thrombosis in vaccine-induced immune thrombotic thrombocytopenia. Nature Communications. 13(1). 5206–5206. 62 indexed citations
9.
10.
Lau, Colleen L., Helen J. Mayfield, Jane E. Sinclair, et al.. (2021). Risk-benefit analysis of the AstraZeneca COVID-19 vaccine in Australia using a Bayesian network modelling framework. Vaccine. 39(51). 7429–7440. 21 indexed citations
11.
Lincz, Lisa F., et al.. (2021). White blood cell evaluation in haematological malignancies using a web‐based digital microscopy platform. International Journal of Laboratory Hematology. 43(6). 1379–1387. 5 indexed citations
12.
Enjeti, Anoop, Theo de Malmanche, Kent Chapman, & Andrew Ziolkowski. (2020). Genomic investigation of inherited thrombotic microangiopathy—aHUS and TTP. International Journal of Laboratory Hematology. 42(S1). 33–40. 3 indexed citations
13.
Wei, Andrew H., Stephen A. Strickland, Jing-Zhou Hou, et al.. (2019). Venetoclax Combined With Low-Dose Cytarabine for Previously Untreated Patients With Acute Myeloid Leukemia: Results From a Phase Ib/II Study. Journal of Clinical Oncology. 37(15). 1277–1284. 456 indexed citations breakdown →
14.
Enjeti, Anoop, et al.. (2019). Transfusion‐associated circulatory overload in ambulatory patients. Vox Sanguinis. 114(3). 216–222. 1 indexed citations
15.
Stevenson, William, Jamie Bryant, Rob Sanson‐Fisher, et al.. (2019). A multi-center randomized controlled trial to reduce unmet needs, depression, and anxiety among hematological cancer patients and their support persons. Journal of Psychosocial Oncology. 38(3). 272–292. 22 indexed citations
16.
17.
Enjeti, Anoop, et al.. (2018). Outcomes and relapse patterns following chemotherapy in advanced Hodgkin lymphoma in the positron emission tomography era. SHILAP Revista de lepidopterología. Volume 8. 13–20. 3 indexed citations
18.
Enjeti, Anoop, et al.. (2018). Circulating microvesicles are less procoagulant and carry different miRNA cargo in myelodysplasia. Blood Cells Molecules and Diseases. 74. 37–43. 6 indexed citations
19.
Staudt, Dilana E., Heather C. Murray, Frank Alvaro, et al.. (2018). Targeting Oncogenic Signaling in Mutant FLT3 Acute Myeloid Leukemia: The Path to Least Resistance. International Journal of Molecular Sciences. 19(10). 3198–3198. 53 indexed citations
20.
Enjeti, Anoop, et al.. (2017). Circulating microvesicle number, function and small RNA content vary with age, gender, smoking status, lipid and hormone profiles. Thrombosis Research. 156. 65–72. 39 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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