Fakher Rahim

315 papers receiving 4.7k citations

Hit Papers

Global, regional, and national burden of multiple sclerosis 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 2019 · 741 citations
7410+2+4Years since publication200400600

Peers

Fakher Rahim
Comparison fields: 5 of 187
  • Parasitology 285
  • Genetics 465
  • Pathology and Forensic Medicine 687
  • Hematology 385
  • Modeling and Simulation 149
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Countries citing papers authored by Fakher Rahim

Since Specialization
Citations

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

Fields of papers citing papers by Fakher Rahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 347 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global, regional, and national burden of multiple sclerosis 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
Hit paper breakdown →
2019741
2 2020153
3 2018113
4
STATs: An Old Story, Yet Mesmerizing
2016105
5 200979
6 201777
7 201673
8 201070
9 202170
10
The risk factors of prostate cancer: a multicentric case-control study in Iran.
200864
11 201563
12 201662
13 202061
14 201057
15 201754
16 201747
17
Epidemiological review of scorpion envenomation in iran.
201447
18 201847
19 201147
20 201446

About Fakher Rahim

Fakher Rahim is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Hematology, having authored 347 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (28 papers), Iron Metabolism and Disorders (20 papers), Mesenchymal stem cell research (12 papers), Synthesis and biological activity (12 papers), COVID-19 Clinical Research Studies (12 papers), Hepatitis B Virus Studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Parasitology (285 citations), Genetics (465 citations), Pathology and Forensic Medicine (687 citations), Hematology (385 citations) and Modeling and Simulation (149 citations). Fakher Rahim has collaborated with scholars based in Iran, United States and Iraq. Frequent co-authors include Najmaldin Saki, Morteza Abdullatif Khafaie, Kiarash Shirbandi, Shahram Khademvatan, Nader Saki, Ali H. Mokdad, Robert C. Reiner, Soheila Nikakhlagh, Ghasem Saki and Amal Saki Malehi. Their work appears in journals such as Advances in experimental medicine and biology, Vaccine, Environmental Science and Pollution Research, Cochrane Database of Systematic Reviews and Osong Public Health and Research Perspectives.

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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