Devin Abrahami

689 citations
22 papers · 423 · h-index 12

Impact in

Papers in

Devin Abrahami

17 papers receiving 415 citations

Peers

Devin Abrahami
Comparison fields: 5 of 66
  • Gastroenterology 105
  • Endocrinology, Diabetes and Metabolism 141
  • Surgery 172
  • Oncology 89
  • Statistics and Probability 26
Replace Audrey H. H. Merry with:
Audrey H. H. Merry Netherlands
William J. Canestaro United States
Andrzej Nowak Poland
John T. Monyak United States
Rajasekhara R. Mummadi United States
Amandine Gouverneur France
Marcus Hollenbach Germany
Lisandro Pereyra Argentina
Peter J Prichard Australia
Haseeb Jafri United States
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Citations per field
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Audrey H. H. Merry · 1×
Citations per year

Countries citing papers authored by Devin Abrahami

Since Specialization
Citations

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

Fields of papers citing papers by Devin Abrahami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201891
2 202174
3 201847
4 202041
5 202128
6 202223
7 201721
8 202318
9 202018
10 201815
11 202012
12 202012
13 20239
14 20205
15 20244
16 20213
17 20242
18 20250
19 20250
20 20250

About Devin Abrahami

Devin Abrahami is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Gastroenterology, having authored 22 papers that have together received 423 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Lung Cancer Treatments and Mutations (5 papers), Gastroesophageal reflux and treatments (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Peptidase Inhibition and Analysis (3 papers), Advanced Causal Inference Techniques (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Gastroenterology (105 citations), Endocrinology, Diabetes and Metabolism (141 citations), Surgery (172 citations), Oncology (89 citations) and Statistics and Probability (26 citations). Devin Abrahami has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Laurent Azoulay, Hui Yin, Emily G. McDonald, Mireille E. Schnitzer, Oriana Hoi Yun Yu, Samy Suissa, Antonios Douros, Alan Barkun, Christel Renoux and Alain Bitton. Their work appears in journals such as Gut, Clinical Pharmacology & Therapeutics, Lung Cancer, BMJ and Epidemiology.

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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