Mohamed‐Ali Hakimi

8.0k citations
82 papers · 5.8k indexed · 1 hit paper · h-index 42

Impact in

  • Parasitology top 0.1%
    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
  • Virology top 2%

Papers in

    • Toxoplasma gondii Research Studies 49
    • Parasitic Infections and Diagnostics 12
    • HIV Research and Treatment 10

Mohamed‐Ali Hakimi

79 papers receiving 5.7k citations

Hit Papers

ToxoplasmaEffectors Targeting Host Signaling and Transcription 2017 · 236 citations
236201720262020202350100150200

Peers

Mohamed‐Ali Hakimi
Comparison fields: 5 of 105
  • Parasitology 2.3k
  • Virology 337
  • Epidemiology 1.6k
  • Molecular Biology 3.1k
  • Plant Science 1.0k
Replace Adam P. Geballe with:
Adam P. Geballe United States
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Thomas J. Templeton United States
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David A. Leib United States
Kathleen Weston United Kingdom
Nicolás Fasel Switzerland
Mohamed‐Ali Hakimi relative to Adam P. Geballe United States Adam P. Geballe's profile →
Citations per field
00.5×5.4×
Adam P. Geballe · 1×
Citations per year

Countries citing papers authored by Mohamed‐Ali Hakimi

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed‐Ali Hakimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed‐Ali Hakimi. 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 Mohamed‐Ali Hakimi. The network helps show where Mohamed‐Ali Hakimi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20242
4 202030
5 202036
6 202023
7 202087
8 201942
9 201738
10 201759
11 201735
12 201770
13 201578
14 201421
15 201454
16 2009140
17 200834
18 2005152
19 2005298
20 200339

About Mohamed‐Ali Hakimi

Mohamed‐Ali Hakimi is a scholar working on Parasitology, Virology, Epidemiology, Molecular Biology and Plant Science, having authored 82 papers that have together received 5.8k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (49 papers), Herpesvirus Infections and Treatments (21 papers), Cytomegalovirus and herpesvirus research (14 papers), Parasitic Infections and Diagnostics (12 papers), RNA modifications and cancer (10 papers), HIV Research and Treatment (10 papers), Ubiquitin and proteasome pathways (9 papers) and Plant Molecular Biology Research (8 papers). The work is most often cited by research in Parasitology (2.3k citations), Virology (337 citations), Epidemiology (1.6k citations), Molecular Biology (3.1k citations) and Plant Science (1.0k citations). Mohamed‐Ali Hakimi has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Ramin Shiekhattar, Alexandre Bougdour, Neil Cooch, Laurence Braun, Daniel A. Bochar, Thierry Lagrange, Yuanshu Dong, Dominique Pontier, Dominique Cannella and Ali Shilatifard. Their work appears in journals such as PLoS Pathogens, Journal of Biological Chemistry, Cell Host & Microbe, Genes & Development and Molecular and Cellular Biology.

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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