Mehdi Mohammadifar

34 total papers · 407 total citations
29 papers, 304 citations indexed

About

Mehdi Mohammadifar is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health and Rheumatology. According to data from OpenAlex, Mehdi Mohammadifar has authored 29 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 8 papers in Psychiatry and Mental health and 5 papers in Rheumatology. Recurrent topics in Mehdi Mohammadifar's work include Multiple Sclerosis Research Studies (13 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Systemic Sclerosis and Related Diseases (4 papers). Mehdi Mohammadifar is often cited by papers focused on Multiple Sclerosis Research Studies (13 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Systemic Sclerosis and Related Diseases (4 papers). Mehdi Mohammadifar collaborates with scholars based in Iran, United Kingdom and United States. Mehdi Mohammadifar's co-authors include Mahsa Ghajarzadeh, Mohammad Ali Sahraian, Amirreza Azimi, Sara Hanaei, Ghazaleh Eskandari, Sreeram V Ramagopalan, S. V. Ramagopalan, Afshin Mohammadi, Saeid Safari and Abbasali Keshtkar and has published in prestigious journals such as Autoimmunity Reviews, BMC Neurology and Journal of Clinical Neuroscience.

In The Last Decade

Mehdi Mohammadifar

29 papers receiving 296 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mehdi Mohammadifar	211	62	35	33	26	29	304
Jonathan Stokes	80 0.4×	91 1.5×	14 0.4×	22 0.7×	20 0.8×	39	358
Mehri Salari	129 0.6×	42 0.7×	20 0.6×	150 4.5×	21 0.8×	47	321
G M Yuill	100 0.5×	30 0.5×	10 0.3×	103 3.1×	27 1.0×	24	326
Katarina Ivana Tudor	63 0.3×	40 0.6×	20 0.6×	47 1.4×	12 0.5×	30	335
André Palma da Cunha Matta	142 0.7×	67 1.1×	6 0.2×	88 2.7×	43 1.7×	33	336
Didem Arslan	145 0.7×	29 0.5×	35 1.0×	13 0.4×	11 0.4×	38	342
Martina D’Onghia	53 0.3×	136 2.2×	32 0.9×	22 0.7×	30 1.2×	32	300
Canan Yücesan	105 0.5×	47 0.8×	11 0.3×	108 3.3×	6 0.2×	30	348
Fatma Müjgan Sönmez	35 0.2×	100 1.6×	17 0.5×	24 0.7×	19 0.7×	25	360
Katherine Sanchez	178 0.8×	49 0.8×	41 1.2×	10 0.3×	9 0.3×	31	348

Countries citing papers authored by Mehdi Mohammadifar

Since Specialization

Citations

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

Fields of papers citing papers by Mehdi Mohammadifar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Mohammadifar

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Mohammadifar. A scholar is included among the top collaborators of Mehdi Mohammadifar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehdi Mohammadifar. Mehdi Mohammadifar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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