Sameer Al Diffalha

1.2k citations
73 papers · 802 · h-index 13

Impact in

  • Hepatology top 10%
    • Liver Diseases and Immunity
    • Hepatitis Viruses Studies and Epidemiology
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Pancreatic and Hepatic Oncology Research 6
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

Sameer Al Diffalha

61 papers receiving 791 citations

Peers

Sameer Al Diffalha
Comparison fields: 5 of 81
  • Hepatology 88
  • Cancer Research 115
  • Oncology 159
  • Infectious Diseases 95
  • Epidemiology 150
Replace Tahir Latif with:
Tahir Latif United States
Valeria De Giorgi United States
Xiaochuan Dong China
Ariane Aigelsreiter Austria
Tsukasa Aihara Japan
Ki Jung Yun South Korea
Emanuela Ricotti Italy
Paméla Baldin Belgium
Colette Chapuis‐Cellier France
Jean‐François Ramée France
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Citations per field
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Tahir Latif · 1×
Citations per year

Countries citing papers authored by Sameer Al Diffalha

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Al Diffalha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer Al Diffalha. 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 Sameer Al Diffalha. The network helps show where Sameer Al Diffalha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021173
2 201849
3 201946
4 202042
5 202039
6 202036
7 202235
8 202231
9 202225
10 201923
11 202022
12 202117
13 201916
14 201713
15 201513
16 201712
17 202212
18 202011
19 202111
20 202010

About Sameer Al Diffalha

Sameer Al Diffalha is a scholar working on Oncology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Hepatology, having authored 73 papers that have together received 802 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Genetic factors in colorectal cancer (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Soft tissue tumor case studies (3 papers) and Metastasis and carcinoma case studies (3 papers). The work is most often cited by research in Hepatology (88 citations), Cancer Research (115 citations), Oncology (159 citations), Infectious Diseases (95 citations) and Epidemiology (150 citations). Sameer Al Diffalha has collaborated with scholars based in United States, Jordan and Austria. Frequent co-authors include FERNANDO BRIL, Mark Dean, Upender Manne, Sooryanarayana Varambally, Sumit Agarwal, Michael P. Behring, Hyung‐Gyoon Kim, Prachi Bajpai, Domenico Coppola and Amr Elkholy. Their work appears in journals such as Human Pathology, Biopreservation and Biobanking, Neoplasia, Molecular Oncology and Translational 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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