Daoud Rahal

1.9k citations
57 papers · 1.5k · h-index 20

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Viral-associated cancers and disorders
    • Lymphoma Diagnosis and Treatment

Papers in

Daoud Rahal

53 papers receiving 1.4k citations

Peers

Daoud Rahal
Comparison fields: 5 of 71
  • Oncology 717
  • Pathology and Forensic Medicine 350
  • Immunology 281
  • Cancer Research 179
  • Hematology 115
Replace Junhun Cho with:
Junhun Cho South Korea
Melissa H. Cessna United States
Arjen H.G. Cleven Netherlands
Laura A. Smit Netherlands
Junning Cao China
Jun‐ichi Tamaru Japan
Tong-Yu Lin China
Sang Eun Yoon South Korea
Hyo Jeong Kang South Korea
Daoud Rahal relative to Junhun Cho South Korea Junhun Cho's profile →
Citations per field
00.5×1.7×
Junhun Cho · 1×
Citations per year

Countries citing papers authored by Daoud Rahal

Since Specialization
Citations

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

Fields of papers citing papers by Daoud Rahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daoud Rahal, 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 Daoud Rahal Line = papers co-authored together Daoud Rahal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014278
2 2016125
3 2021122
4 2009105
5 199663
6 201552
7 201847
8 200842
9 201940
10 201939
11 201938
12 200330
13 202129
14 202028
15 201528
16 202026
17 201625
18 201825
19 201325
20 202420

About Daoud Rahal

Daoud Rahal is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Hematology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Breast Cancer Treatment Studies (6 papers), Gastrointestinal disorders and treatments (4 papers), Breast Lesions and Carcinomas (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Gastrointestinal Tumor Research and Treatment (4 papers). The work is most often cited by research in Oncology (717 citations), Pathology and Forensic Medicine (350 citations), Immunology (281 citations), Cancer Research (179 citations) and Hematology (115 citations). Daoud Rahal has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Armando Santoro, Massimo G. Roncalli, Fabio Grizzi, Giorgio Inghirami, Silvia Carrara, Carmelo Carlo‐Stella, Amy Chadburn, Paul G. Rubinstein, Luca Di Tommaso and Lisa G. Giulino-Roth. Their work appears in journals such as Gastrointestinal Endoscopy, American Journal of Hematology, Digestive and Liver Disease, Blood and Endoscopy.

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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