Hussein A. Abbas

3.4k total citations · 1 hit paper
79 papers, 1.1k citations indexed

About

Hussein A. Abbas is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Hussein A. Abbas has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Hematology, 25 papers in Molecular Biology and 21 papers in Genetics. Recurrent topics in Hussein A. Abbas's work include Acute Myeloid Leukemia Research (40 papers), Chronic Myeloid Leukemia Treatments (13 papers) and Cancer-related Molecular Pathways (8 papers). Hussein A. Abbas is often cited by papers focused on Acute Myeloid Leukemia Research (40 papers), Chronic Myeloid Leukemia Treatments (13 papers) and Cancer-related Molecular Pathways (8 papers). Hussein A. Abbas collaborates with scholars based in United States, Lebanon and Italy. Hussein A. Abbas's co-authors include Guillermina Lozano, Vinod Pant, James G. Jackson, Naval Daver, Sean M. Post, Adlette Inati, William G. Wierda, Khalid Yunis, Süleyman Coşkun and Daniela R. Macció and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hussein A. Abbas

70 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia

2022 150 citations Andy G.X. Zeng, Liqing Jin et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hussein A. Abbas United States	18	524	392	279	177	160	79	1.1k
Liubin Yang United States	13	917 1.8×	513 1.3×	85 0.3×	163 0.9×	273 1.7×	24	1.4k
Jie Jin China	16	381 0.7×	290 0.7×	341 1.2×	94 0.5×	81 0.5×	64	913
Masaru Yokoyama Japan	16	476 0.9×	189 0.5×	97 0.3×	140 0.8×	69 0.4×	50	917
Marina Petrini Italy	18	734 1.4×	195 0.5×	175 0.6×	142 0.8×	418 2.6×	38	1.2k
Victoria Bedell United States	16	431 0.8×	218 0.6×	181 0.6×	156 0.9×	79 0.5×	40	1.0k
Annette Juul Vangsted Denmark	21	622 1.2×	692 1.8×	598 2.1×	130 0.7×	61 0.4×	90	1.3k
Timothy Chevassut United Kingdom	18	876 1.7×	429 1.1×	129 0.5×	98 0.6×	194 1.2×	42	1.2k
Maud Jost Belgium	18	370 0.7×	205 0.5×	250 0.9×	50 0.3×	506 3.2×	43	1.3k
Kathleen W. Rao United States	23	678 1.3×	462 1.2×	254 0.9×	197 1.1×	159 1.0×	52	1.7k
R. Serafini Italy	13	474 0.9×	198 0.5×	239 0.9×	64 0.4×	47 0.3×	29	888

Countries citing papers authored by Hussein A. Abbas

Since Specialization

Citations

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

Fields of papers citing papers by Hussein A. Abbas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hussein A. Abbas. 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 Hussein A. Abbas. The network helps show where Hussein A. Abbas may publish in the future.

Co-authorship network of co-authors of Hussein A. Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Hussein A. Abbas. A scholar is included among the top collaborators of Hussein A. Abbas 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 Hussein A. Abbas. Hussein A. Abbas 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

Jelloul, Fatima Zahra, Sammy Ferri‐Borgogno, Javier A. Gomez, et al.. (2025). Multimodal spatial proteomic profiling in acute myeloid leukemia. npj Precision Oncology. 9(1). 148–148.

Mohanty, Vakul, et al.. (2024). Impact of p53-associated acute myeloid leukemia hallmarks on metabolism and the immune environment. Frontiers in Pharmacology. 15. 1409210–1409210. 5 indexed citations

Radpour, Ramin, Cédric Simillion, Bofei Wang, et al.. (2024). IL-9 secreted by leukemia stem cells induces Th1-skewed CD4+ T cells, which promote their expansion. Blood. 144(8). 888–903. 7 indexed citations

Wang, Bofei, Fatima Zahra Jelloul, Sean Mackay, et al.. (2024). Single-Cell CD4 and CD8 T-Cell Secretome Profiling Reveals Temporal and Niche Differences in Acute Myeloid Leukemia Following Immune Checkpoint Blockade Therapy. Cancer Research Communications. 4(3). 671–681. 5 indexed citations

Loghavi, Sanam, Farhad Ravandi, Courtney D. DiNardo, et al.. (2024). Incidence, Characteristics, and Outcomes of Patients with Newly Diagnosed, De Novo KIT -Mutated Non-Core Binding Factor Acute Myeloid Leukemia without Systemic Mastocytosis. Blood. 144(Supplement 1). 2857–2857.

Jabbour, Elias, Jayastu Senapati, Fadi Haddad, et al.. (2024). A Retrospective Analysis of Ponatinib-Based Therapy in Patients with Myeloid Blast Phase Chronic Myeloid Leukemia: Responses Rates, Outcomes and Patterns of Relapse. Blood. 144(Supplement 1). 3156–3156. 1 indexed citations

Wang, Bofei, Tianhao Li, Naval Daver, et al.. (2024). Paired single-B-cell transcriptomics and receptor sequencing reveal activation states and clonal signatures that characterize B cells in acute myeloid leukemia. Journal for ImmunoTherapy of Cancer. 12(2). e008318–e008318. 5 indexed citations

Hammond, Danielle, Kelly S. Chien, Abhishek Maiti, et al.. (2024). Interim Results of the Phase II Study Investigating CPX-351 in Combination with Ivosidenib for Patients with IDH1-Mutated Acute Myeloid Leukemia and High-Risk Myelodysplastic Syndrome. Blood. 144(Supplement 1). 4271–4271. 1 indexed citations

Senapati, Jayastu, Sanam Loghavi, Nicholas J. Short, et al.. (2023). Venetoclax abrogates the prognostic impact of splicing factor gene mutations in newly diagnosed acute myeloid leukemia. Blood. 142(19). 1647–1657. 35 indexed citations

10.

Fan, Huihui, Feng Wang, Andy G.X. Zeng, et al.. (2023). Single-cell chromatin accessibility profiling of acute myeloid leukemia reveals heterogeneous lineage composition upon therapy-resistance. Communications Biology. 6(1). 765–765. 11 indexed citations

11.

Lee, Sung‐Eun, Feng Wang, Koichi Takahashi, et al.. (2023). Immunologic Predictors for Clinical Responses during Immune Checkpoint Blockade in Patients with Myelodysplastic Syndromes. Clinical Cancer Research. 29(10). 1938–1951. 7 indexed citations

12.

Venugopal, Sangeetha, Gautam Borthakur, Naval Daver, et al.. (2022). Validation of ALFA 1200 score in patients with AML >60 years treated with double nucleoside–based low-intensity therapy. Blood Advances. 6(19). 5546–5549. 1 indexed citations

13.

Abbas, Hussein A., Hanxiao Sun, Sherry Pierce, et al.. (2022). Validation of the ALFA-1200 model in older patients with AML treated with intensive chemotherapy. Blood Advances. 7(5). 828–831.

14.

Zeng, Andy G.X., Liqing Jin, Amanda Mitchell, et al.. (2022). A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia. Nature Medicine. 28(6). 1212–1223. 150 indexed citations breakdown →

15.

Abbas, Hussein A., Sean Mackay, Jing Zhou, et al.. (2021). Single-cell polyfunctional proteomics of CD4 cells from patients with AML predicts responses to anti–PD-1–based therapy. Blood Advances. 5(22). 4569–4574. 21 indexed citations

16.

Napoli, Marco, et al.. (2020). Spatiotemporal Regulation of ΔNp63 by TGFβ-Regulated miRNAs Is Essential for Cancer Metastasis. Cancer Research. 80(13). 2833–2847. 21 indexed citations

17.

Abbas, Hussein A., Kimal Rajapakshe, Preethi H. Gunaratne, et al.. (2017). Distinct TP63 Isoform-Driven Transcriptional Signatures Predict Tumor Progression and Clinical Outcomes. Cancer Research. 78(2). 451–462. 23 indexed citations

18.

Abbas, Hussein A., et al.. (2017). Assessing the Risk of Having Small for Gestational Age Newborns Among Lebanese Underweight and Normal Pre-pregnancy Weight Women. Maternal and Child Health Journal. 22(1). 130–136. 3 indexed citations

19.

Ghazeeri, Ghina, et al.. (2016). Knowledge, attitudes and awareness regarding fertility preservation among oncologists and clinical practitioners in Lebanon. Human Fertility. 19(2). 127–133. 12 indexed citations

20.

Abbas, K.A., et al.. (2010). Significance and application of psychrometric chart in food processing: a review.. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 8. 274–278. 2 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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