Faisel M. Abuduhier

51 papers receiving 1.3k citations

Faisel M. Abuduhier's Hit Papers

Cytochrome P450: Polymorphisms and Roles in Cancer, Diabetes and Atherosclerosis 2018 · 178 citations
1780+2+5Years since publication50100150

Peers

Faisel M. Abuduhier
Comparison fields: 5 of 96
  • Hematology 497
  • Cancer Research 151
  • Drug Discovery 3
  • Pharmacology 69
  • Genetics 133
Replace Hans-Dieter Riedel with:
Hans-Dieter Riedel Germany
Ru Feng China
Leonardo A. Moraes United Kingdom
Zhao Deng China
Hyun Jeong Kwak South Korea
Carlos Fernández Spain
Joen Rong Sheu Taiwan
Zhao Yin China
Dipak Panigrahy United States
Faisel M. Abuduhier relative to Hans-Dieter Riedel Germany Hans-Dieter Riedel's profile →
Citations per field
00.5×2×3×4×4.9×
Hans-Dieter Riedel · 1×
Citations per year

Countries citing papers authored by Faisel M. Abuduhier

Since Specialization
Citations

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

Fields of papers citing papers by Faisel M. Abuduhier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faisel M. Abuduhier. 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 Faisel M. Abuduhier. The network helps show where Faisel M. Abuduhier may publish in the future.

Co-authors

The 25 scholars most cited alongside Faisel M. Abuduhier, 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 Faisel M. Abuduhier Line = papers co-authored together Faisel M. Abuduhier 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 2003266
2 2000262
3
Cytochrome P450: Polymorphisms and Roles in Cancer, Diabetes and Atherosclerosis
Hit paper breakdown →
2018178
4 201979
5 202146
6 201941
7 201038
8 201434
9 200331
10 202230
11 201228
12 201826
13 201820
14 201418
15 201517
16 200314
17 201914
18 202014
19 202014
20 202114

About Faisel M. Abuduhier

Faisel M. Abuduhier is a scholar working on Cancer Research, Genetics, Reproductive Medicine, Hematology and Genetics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Genetic Associations and Epidemiology (7 papers), Ovarian function and disorders (5 papers), Acute Myeloid Leukemia Research (4 papers), Medicinal Plant Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Hematology (497 citations), Cancer Research (151 citations), Drug Discovery (3 citations), Pharmacology (69 citations) and Genetics (133 citations). Faisel M. Abuduhier has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Rashid Mir, Imadeldin Elfaki, I. R. Peake, John T. Reilly, Anne C. Goodeve, Mamdooh Abdullah Gari, Mohammad Fahad Ullah, Fahad M. Almutairi, Gill A. Wilson and Rory S. Care. Their work appears in journals such as British Journal of Haematology, Journal of Personalized Medicine, Life, Discovery Medicine and Journal of Cardiovascular Development and Disease.

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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