Waled Bahaj

711 citations
37 papers · 213 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 19
    • Chronic Myeloid Leukemia Treatments 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 8

Waled Bahaj

34 papers receiving 212 citations

Peers

Waled Bahaj
Comparison fields: 5 of 41
  • Hematology 88
  • Genetics 44
  • Cancer Research 58
  • Pathology and Forensic Medicine 32
  • Oncology 49
Replace Cecilia Arana Yi with:
Cecilia Arana Yi United States
Takayasu Kato Japan
Yingwan Luo China
Yasuhito Suehara Japan
Robin Meng United States
Kota Fukumoto Japan
Donna Bucci United States
Samuel Quentin France
Ya-Ching Hsieh United Kingdom
Firoz Ahmad India
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Citations per field
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Cecilia Arana Yi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Waled Bahaj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Waled Bahaj Line = papers co-authored together Waled Bahaj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201942
2 202319
3 201819
4 202316
5 202115
6 202213
7 201812
8 202311
9 20229
10 20198
11 20195
12 20175
13 20195
14 20243
15 20213
16 20233
17 20233
18 20242
19 20252
20 20192

About Waled Bahaj

Waled Bahaj is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Cancer Research, having authored 37 papers that have together received 213 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Cancer Genomics and Diagnostics (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Protein Degradation and Inhibitors (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (88 citations), Genetics (44 citations), Cancer Research (58 citations), Pathology and Forensic Medicine (32 citations) and Oncology (49 citations). Waled Bahaj has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Carmelo Gurnari, Jaroslaw P. Maciejewski, Ashiq Masood, Valeria Visconte, Tariq Kewan, Omar Abughanimeh, Janakiraman Subramanian, Timothy Pluard, Sam G. Pappas and Arda Durmaz. Their work appears in journals such as Blood, Cancers, Leukemia, Journal of Clinical Oncology and Journal of Hematology & Oncology.

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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