Mona Akbari

29 papers receiving 1.2k citations

Peers

Mona Akbari
Comparison fields: 5 of 87
  • Gastroenterology 209
  • Medical Terminology 6
  • Genetics 435
  • Plant Science 476
  • Epidemiology 298
Replace Joachim J. Schweizer with:
Joachim J. Schweizer Netherlands
Alan G. Shand United Kingdom
D Boixeda Spain
Stephen T. Amann United States
Peter M. Gillett United Kingdom
R. G. Wilson United Kingdom
Angela Vegnente Italy
J.F. Colombel France
Sabino Riestra Spain
Patrick Gerner Germany
Mona Akbari relative to Joachim J. Schweizer Netherlands Joachim J. Schweizer's profile →
Citations per field
00.5×11.3×
Joachim J. Schweizer · 1×
Citations per year

Countries citing papers authored by Mona Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Mona Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006475
2 2014175
3 2012162
4 201386
5 201845
6 201530
7 201930
8 201330
9 201524
10 201423
11 200920
12 201318
13 201317
14 201615
15 201714
16 202111
17 201911
18 201511
19
Diversity Arrays Technology: A Novel Tool for Harnessing the Genetic Potential of Orphan Crops
200511
20 201610

About Mona Akbari

Mona Akbari is a scholar working on Hematology, Surgery, Genetics, Epidemiology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Microscopic Colitis (6 papers), Celiac Disease Research and Management (4 papers), Clinical practice guidelines implementation (4 papers), T-cell and B-cell Immunology (3 papers), Inflammatory Bowel Disease (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Clinical Nutrition and Gastroenterology (3 papers). The work is most often cited by research in Gastroenterology (209 citations), Medical Terminology (6 citations), Genetics (435 citations), Plant Science (476 citations) and Epidemiology (298 citations). Mona Akbari has collaborated with scholars based in United States, United Kingdom and Iran. Frequent co-authors include Adam S. Cheifetz, Sveta Shah, Daniel A. Leffler, Uma Mahadevan, Fernando Velayos, Shiying Yang, Andrzej Kilian, Vanessa Caig, Grzegorz Uszyński and Jason Carling. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Alimentary Pharmacology & Therapeutics, The American Journal of Gastroenterology, Inflammatory Bowel Diseases and The Journal of Gene Medicine.

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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