S. Al‐Sam

823 citations
9 papers · 676 · h-index 7

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 1
    • Cancer Cells and Metastasis 1

S. Al‐Sam

9 papers receiving 633 citations

Peers

S. Al‐Sam
Comparison fields: 5 of 54
  • Hepatology 97
  • Epidemiology 388
  • Endocrinology, Diabetes and Metabolism 98
  • Pathology and Forensic Medicine 93
  • Cancer Research 47
Replace Douglas A. Charney with:
Douglas A. Charney United States
Vera Lúcia Pannain Brazil
Atsushi Takeshita Japan
Daniel J. Dykas United States
Marie Lequoy France
Jianhua Wang China
Fumiaki Hino Japan
Sotiris A. Raptis Greece
Takayuki Fukuhara Japan
Patrizia Pacini Italy
S. Al‐Sam relative to Douglas A. Charney United States Douglas A. Charney's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Al‐Sam

Since Specialization
Citations

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

Fields of papers citing papers by S. Al‐Sam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Al‐Sam. 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 S. Al‐Sam. The network helps show where S. Al‐Sam may publish in the future.

Co-authors

The 22 scholars most cited alongside S. Al‐Sam, 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 S. Al‐Sam Line = papers co-authored together S. Al‐Sam links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1991466
2 200671
3 199058
4 198930
5 200619
6 198715
7 201813
8 20122
9 19872

About S. Al‐Sam

S. Al‐Sam is a scholar working on Oncology, Neurology, Pulmonary and Respiratory Medicine, Epidemiology and Hepatology, having authored 9 papers that have together received 676 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Multiple and Secondary Primary Cancers (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Ovarian cancer diagnosis and treatment (1 paper), CAR-T cell therapy research (1 paper), Cancer Cells and Metastasis (1 paper), Liver Disease and Transplantation (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Hepatology (97 citations), Epidemiology (388 citations), Endocrinology, Diabetes and Metabolism (98 citations), Pathology and Forensic Medicine (93 citations) and Cancer Research (47 citations). S. Al‐Sam has collaborated with scholars based in United Kingdom. Frequent co-authors include Martin G Cook, S.H. Saverymuttu, A.E.A. Joseph, J. Douglas Maxwell, Manish Kumar Agrawal, R. L. Carter, Padraic Monaghan, T J McElwain, Keith McCarthy and Jack D. Davies. Their work appears in journals such as Journal of Clinical Pathology, European Journal of Cancer, Histopathology, Clinical Radiology and European Journal of Vascular Surgery.

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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