Waled Bahaj

677 total citations
36 papers, 200 citations indexed

About

Waled Bahaj is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Waled Bahaj has authored 36 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hematology, 11 papers in Genetics and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Waled Bahaj's work include Acute Myeloid Leukemia Research (18 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers) and Cancer Genomics and Diagnostics (7 papers). Waled Bahaj is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers) and Cancer Genomics and Diagnostics (7 papers). Waled Bahaj collaborates with scholars based in United States, Italy and Germany. Waled Bahaj's co-authors include Carmelo Gurnari, Jaroslaw P. Maciejewski, Ashiq Masood, Valeria Visconte, Tariq Kewan, Omar Abughanimeh, Timothy Pluard, Janakiraman Subramanian, Arda Durmaz and Sam G. Pappas and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Molecular Sciences.

In The Last Decade

Waled Bahaj

32 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Waled Bahaj United States 9 84 64 63 53 53 36 200
Cecilia Arana Yi United States 8 100 1.2× 80 1.3× 29 0.5× 71 1.3× 55 1.0× 21 210
Sheng‐Chieh Chou Taiwan 8 108 1.3× 132 2.1× 57 0.9× 26 0.5× 64 1.2× 27 253
Yasuhito Suehara Japan 10 134 1.6× 105 1.6× 67 1.1× 73 1.4× 75 1.4× 34 278
Yingwan Luo China 8 113 1.3× 79 1.2× 55 0.9× 56 1.1× 46 0.9× 29 244
Sichu Liu China 11 40 0.5× 61 1.0× 49 0.8× 64 1.2× 78 1.5× 25 251
Giulia Biancon United States 9 145 1.7× 159 2.5× 77 1.2× 46 0.9× 48 0.9× 28 281
Loïc Renaud France 7 40 0.5× 75 1.2× 25 0.4× 75 1.4× 50 0.9× 17 222
Robin Meng United States 5 73 0.9× 65 1.0× 20 0.3× 31 0.6× 118 2.2× 10 234
Giacomo Tuana Italy 8 105 1.3× 197 3.1× 108 1.7× 84 1.6× 37 0.7× 12 314
Takayasu Kato Japan 6 39 0.5× 32 0.5× 53 0.8× 44 0.8× 45 0.8× 25 159

Countries citing papers authored by Waled Bahaj

Since Specialization
Citations

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

Fields of papers citing papers by Waled Bahaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waled Bahaj

This figure shows the co-authorship network connecting the top 25 collaborators of Waled Bahaj. A scholar is included among the top collaborators of Waled Bahaj 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 Waled Bahaj. Waled Bahaj 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.
Aly, Mai, Tariq Kewan, Waled Bahaj, et al.. (2025). Comprehensive Age-Stratified Impact of NPM1 Mutation in Acute Myeloid Leukemia: A Real-World Experience. Cancers. 17(6). 1020–1020. 2 indexed citations
2.
Bahaj, Waled, Bhavisha A. Patel, Ahmet Toprak, et al.. (2024). Ahemolytic PNH (white cell PNH): Clinical features and implications of a distinct phenotype of paroxysmal nocturnal haemoglobinuria. British Journal of Haematology. 204(5). 2121–2124. 2 indexed citations
3.
Bahaj, Waled, Mohamed Osama Hegazi, & Robert Emmons. (2024). Unveiling Immediate Pseudo-Progression with Epcoritamab in Lymphoma Treatment: Case Series Exploration. Transplantation and Cellular Therapy. 30(2). S157–S157. 2 indexed citations
4.
Kewan, Tariq, Arda Durmaz, Waled Bahaj, et al.. (2024). Clinical and Molecular Insights into the Classification Dilemma: Are MDS/AML Cases Distinct from Secondary AML?. Blood. 144(Supplement 1). 850–850. 1 indexed citations
5.
Kewan, Tariq, Waled Bahaj, Arda Durmaz, et al.. (2023). Validation of the Molecular International Prognostic Scoring System in patients with myelodysplastic syndromes. Blood. 141(14). 1768–1772. 18 indexed citations
6.
Mori, Minako, Yasuo Kubota, Arda Durmaz, et al.. (2023). Genomics of deletion 7 and 7q in myeloid neoplasm: from pathogenic culprits to potential synthetic lethal therapeutic targets. Leukemia. 37(10). 2082–2093. 10 indexed citations
7.
Bahaj, Waled, Tariq Kewan, Danai Dima, et al.. (2023). Splenectomy outcomes in immune cytopenias: Treatment outcomes and determinants of response. Journal of Internal Medicine. 295(2). 229–241. 2 indexed citations
8.
Bahaj, Waled, et al.. (2023). Immune Checkpoint Inhibitor-Induced Myositis/Myasthenia Gravis Overlap. Cureus. 15(11). e49007–e49007.
9.
Bahaj, Waled, Tariq Kewan, Carmelo Gurnari, et al.. (2023). Novel scheme for defining the clinical implications of TP53 mutations in myeloid neoplasia. Journal of Hematology & Oncology. 16(1). 91–91. 14 indexed citations
10.
Durmaz, Arda, Carmelo Gurnari, Courtney E. Hershberger, et al.. (2023). A multimodal analysis of genomic and RNA splicing features in myeloid malignancies. iScience. 26(3). 106238–106238. 3 indexed citations
11.
Kubota, Yasuo, Jibran Durrani, Wenyi Shen, et al.. (2022). Significance of hereditary gene alterations for the pathogenesis of adult bone marrow failure versus myeloid neoplasia. Leukemia. 36(12). 2827–2834. 8 indexed citations
12.
Kubota, Yasuo, Carmelo Gurnari, Juraj Bodo, et al.. (2022). Molecular and Clinical PHF6 Mutant Myeloid Neoplasia Provides Clues As to Their Pathogenesis and Therapeutic Targeting. Blood. 140(Supplement 1). 8707–8708.
13.
Bahaj, Waled, Tariq Kewan, Carmelo Gurnari, et al.. (2022). A Clinically Practicable Approach to Predict TP53 Allelic Configurations in Myeloid Neoplasia. Blood. 140(Supplement 1). 2075–2077. 1 indexed citations
14.
Pagliuca, Simona, Carmelo Gurnari, Tariq Kewan, et al.. (2021). Transcriptomic Profile Identifies Early Signatures of Immunoediting and a Potential Role for VISTA As a Molecular Target in Acute Myeloid Leukemia. Blood. 138(Supplement 1). 4467–4467. 1 indexed citations
15.
Bahaj, Waled, et al.. (2019). Radiation Recall in a Patient with Intrahepatic Cholangiocarcinoma: Case Report and a Literature Review. Cureus. 11(6). e5020–e5020. 5 indexed citations
16.
Abughanimeh, Omar, et al.. (2019). Zieve’s Syndrome: An Under-reported Cause of Anemia in Alcoholics. Cureus. 11(2). e4121–e4121. 8 indexed citations
17.
Bahaj, Waled, et al.. (2019). Angiotensin converting enzyme inhibitors use and development of lung cancer: A systematic review and meta-analysis.. Journal of Clinical Oncology. 37(15_suppl). e13093–e13093. 5 indexed citations
18.
Bahaj, Waled, Kevin F. Kennedy, Timothy Pluard, et al.. (2018). Correlation of Somatic Genomic Alterations Between Tissue Genomics and ctDNA Employing Next-Generation Sequencing: Analysis of Lung and Gastrointestinal Cancers. Molecular Cancer Therapeutics. 17(5). 1123–1132. 19 indexed citations
19.
Bahaj, Waled, et al.. (2018). Cladribine in the remission induction of adult acute myeloid leukemia: where do we stand?. Annals of Hematology. 98(3). 561–579. 12 indexed citations
20.
Braun, Cody, et al.. (2017). Pancreatitis in the Setting of Vaso-occlusive Sickle Cell Crisis: A Rare Encounter. Cureus. 9(4). e1193–e1193. 5 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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