Samuel Asfaha

51 papers receiving 3.5k citations

Samuel Asfaha's Hit Papers

Bile Acid and Inflammation Activate Gastric Cardia Stem Cells in a Mouse Model of Barrett-Like Metaplasia 2012 · 364 citations
3640+4+9Years since publication100200300

Peers

Samuel Asfaha
Comparison fields: 5 of 118
  • Pharmacology 698
  • Biochemistry 237
  • Gastroenterology 151
  • Oncology 745
  • Immunology 555
Replace Fabio Cianchi with:
Fabio Cianchi Italy
Koichiro Wada Japan
Yasushi Fukushima Japan
Satoshi Yamashita Japan
Yukio Ishikawa Japan
Frank G. Ondrey United States
Samuele De Minicis Italy
Heather Francis United States
Izumi Hayashi Japan
Hiroshi Kawachi Japan
Samuel Asfaha relative to Fabio Cianchi Italy Fabio Cianchi's profile →
Citations per field
00.5×1.5×2.3×
Fabio Cianchi · 1×
Citations per year

Countries citing papers authored by Samuel Asfaha

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Asfaha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996370
2
Bile Acid and Inflammation Activate Gastric Cardia Stem Cells in a Mouse Model of Barrett-Like Metaplasia
Hit paper breakdown →
2012364
3 2014290
4 1998283
5 2016197
6 2010184
7 2012167
8 2015158
9 2016118
10 1997115
11 2006110
12 2000103
13 1997100
14 200096
15 201487
16 200285
17 199980
18 199973
19 200170
20 201359

About Samuel Asfaha

Samuel Asfaha is a scholar working on Surgery, Oncology, Pharmacology, Molecular Biology and Immunology, having authored 54 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Inflammatory mediators and NSAID effects (7 papers), Digestive system and related health (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Pharmacology (698 citations), Biochemistry (237 citations), Gastroenterology (151 citations), Oncology (745 citations) and Immunology (555 citations). Samuel Asfaha has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include John L. Wallace, Keith A. Sharkey, Timothy C. Wang, Wallace K. MacNaughton, Webb McKnight, Brian K. Reuter, André G. Buret, Richard A. Friedman, Michael Quante and Yoku Hayakawa. Their work appears in journals such as Gastroenterology, American Journal of Physiology-Gastrointestinal and Liver Physiology, British Journal of Pharmacology, Nature Communications and PLoS ONE.

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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