Parvin Hakimi

1.9k citations
50 papers · 1.4k · h-index 20

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Adipose Tissue and Metabolism

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Mitochondrial Function and Pathology 4
    • Adipose Tissue and Metabolism 12

Parvin Hakimi

46 papers receiving 1.4k citations

Peers

Parvin Hakimi
Comparison fields: 5 of 114
  • Aging 106
  • Physiology 377
  • Biochemistry 104
  • Geriatrics and Gerontology 44
  • Endocrinology, Diabetes and Metabolism 183
Replace Jill M. Schimke with:
Jill M. Schimke United States
Simon T. Hui United States
Verena Albert Switzerland
Frédéric Tremblay Canada
Sherry F. Grissom United States
Eek Joong Park United States
Chung S. Song United States
Daniel Garcia United States
Valérie Carraro France
Bobby R. Monks United States
Parvin Hakimi relative to Jill M. Schimke United States Jill M. Schimke's profile →
Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Parvin Hakimi

Since Specialization
Citations

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

Fields of papers citing papers by Parvin Hakimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993176
2 2007157
3 2002118
4 200595
5 199794
6 199190
7 200586
8 200181
9 200960
10 200859
11 201853
12 201250
13 201527
14 201925
15 201225
16 202224
17 199822
18 201321
19 202020
20 201320

About Parvin Hakimi

Parvin Hakimi is a scholar working on Molecular Biology, Physiology, Reproductive Medicine, Public Health, Environmental and Occupational Health and Immunology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Reproductive System and Pregnancy (8 papers), Ovarian function and disorders (5 papers), Reproductive Biology and Fertility (5 papers), Endometriosis Research and Treatment (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Mitochondrial Function and Pathology (4 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Aging (106 citations), Physiology (377 citations), Biochemistry (104 citations), Geriatrics and Gerontology (44 citations) and Endocrinology, Diabetes and Metabolism (183 citations). Parvin Hakimi has collaborated with scholars based in Iran, United States and Germany. Frequent co-authors include Richard W. Hanson, E.A. Park, R. W. Hanson, Austin Gurney, Lea Reshef, Jianqi Yang, Antoon F.M. Moorman, S. E. Nizielski, Z Cao and Shirley M. Tilghman. Their work appears in journals such as Journal of Biological Chemistry, BMC Pregnancy and Childbirth, Gene, Blood and Proceedings of the National Academy of Sciences.

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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