Kaveh Ashrafi

4.5k citations
43 papers · 3.5k indexed · 1 hit paper · h-index 30
Topics
Genetics, Aging, and Longevity in Model Organisms (30 papers)Circadian rhythm and melatonin (20 papers)Adipose Tissue and Metabolism (14 papers)

In The Last Decade

Kaveh Ashrafi

43 papers receiving 3.5k citations

Hit Papers

Genome-wide RNAi analysis of Caenorhabditis elegans fat r...20032026201020182003250500750

Peers

Kaveh Ashrafi
Comparison fields: 5 of 112
  • Molecular Biology 1.7k
  • Aging 1.7k
  • Endocrine and Autonomic Systems 771
  • Physiology 767
  • Biochemistry 319
Replace Jennifer L. Watts with:
Jennifer L. Watts United States
Naoaki Ishii Japan
Ao‐Lin Hsu United States
Shane L. Rea United States
Bin Liang China
Kelvin Yen United States
Christopher D. Link United States
Kerry Kornfeld United States
Nils J. Færgeman Denmark
Kayo Yasuda Japan
Kaveh Ashrafi relative to Jennifer L. Watts United States Jennifer L. Watts's profile →
Citations per field
00.5×1.5×
Jennifer L. Watts · 1×
Citations per year

Countries citing papers authored by Kaveh Ashrafi

Since Specialization
Citations

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

Fields of papers citing papers by Kaveh Ashrafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaveh Ashrafi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaveh Ashrafi. A scholar is included among the top collaborators of Kaveh Ashrafi 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 Kaveh Ashrafi. Kaveh Ashrafi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 27
4 22
5 34
6 66
7 60
8 182
9 19
10 44
11 30
12 33
13 37
14 54
15 255
16 96
17 7
18 164
19 76
20 85

About Kaveh Ashrafi

Kaveh Ashrafi is a scholar working on Aging, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 43 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (30 papers), Circadian rhythm and melatonin (20 papers) and Adipose Tissue and Metabolism (14 papers). The work is most often cited by research in Aging (1.7k citations), Endocrine and Autonomic Systems (771 citations) and Biochemistry (319 citations). Kaveh Ashrafi has collaborated with scholars based in United States, Brazil and Denmark. Frequent co-authors include Gary Ruvkun, Andrew Fraser, Julie Ahringer, Jennifer L. Watts, Ravi S. Kamath, Kevin T. Jones, George A. Lemieux, Jeffrey I. Gordon, Brian H. Lee and Brendan Mullaney. Their work appears in journals such as Nature, Cell 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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