Daoud Rahal

1.8k citations
46 papers · 999 · h-index 17

Impact in

Papers in

Daoud Rahal

43 papers receiving 982 citations

Peers

Daoud Rahal
Comparison fields: 5 of 69
  • Oncology 598
  • Pathology and Forensic Medicine 276
  • Immunology 214
  • Hematology 102
  • Cancer Research 126
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Elizabeth Hyjek United States
Juliana Di Iulio Australia
Sang Eun Yoon South Korea
Laura A. Smit Netherlands
Nidal M. Almasri Jordan
Binglin Yue United States
JP Marolleau France
Gabriella Pichert Switzerland
Xiaonan Hong China
Jun‐ichi Tamaru Japan
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Citations per field
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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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014217
2 2016116
3 200995
4 199663
5 201843
6 201934
7 201934
8 201933
9 200828
10 200328
11 202024
12 201624
13 201323
14 201823
15 201521
16
Myxoid leiomyosarcoma of the left atrium: a rare malignancy of the heart and its comparison with atrial myxoma.
200117
17 199416
18 201815
19 199613
20 200513

About Daoud Rahal

Daoud Rahal is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 46 papers that have together received 999 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Breast Lesions and Carcinomas (6 papers), Breast Cancer Treatment Studies (5 papers), Pancreatitis Pathology and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Medical Imaging Techniques and Applications (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (598 citations), Pathology and Forensic Medicine (276 citations), Immunology (214 citations), Hematology (102 citations) and Cancer Research (126 citations). Daoud Rahal has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Armando Santoro, Fabio Grizzi, Massimo Roncalli, Giorgio Inghirami, Silvia Carrara, Egesta Lopci, Joshua Brody, Amy Chadburn, Olivier Elemento and Lisa Giulino‐Roth. Their work appears in journals such as Gastrointestinal Endoscopy, Nuclear Medicine Communications, Endoscopy, American Journal of Hematology and Digestive and Liver Disease.

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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