Dong Yan

7.5k citations
73 papers · 5.1k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Dong Yan

71 papers receiving 5.1k citations

Hit Papers

Systematic functional analysis of the Caenorhabditis elegans genome using RNAi 2003 · 2.8k citations
2.8k200320262010201850010001.5k2.0k2.5k

Peers

Dong Yan
Comparison fields: 5 of 114
  • Aging 2.4k
  • Endocrine and Autonomic Systems 487
  • Molecular Biology 3.6k
  • Cell Biology 672
  • Developmental Neuroscience 162
Replace Shohei Mitani with:
Shohei Mitani Japan
Ronald Ellis United States
Naoki Hisamoto Japan
Mónica P. Colaiácovo United States
H. Robert Horvitz United States
Min Han United States
Hendrik C. Korswagen Netherlands
Peder Zipperlen Switzerland
Donald G. Moerman Canada
Pierre‐Antoine Defossez France
Dong Yan relative to Shohei Mitani Japan Shohei Mitani's profile →
Citations per field
00.5×1.5×
Shohei Mitani · 1×
Citations per year

Countries citing papers authored by Dong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20238
3 20231
4 20226
5 202270
6 20221
7 20223
8 202110
9 202025
10 202016
11 202011
12 202031
13 201935
14 201862
15 201782
16 201466
17 20111
18 2005113
19
Systematic functional analysis of the Caenorhabditis elegans genome using RNAi
Hit paper breakdown →
20032832
20 2003200

About Dong Yan

Dong Yan is a scholar working on Aging, Endocrine and Autonomic Systems, Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 73 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (28 papers), Circular RNAs in diseases (10 papers), MicroRNA in disease regulation (9 papers), CRISPR and Genetic Engineering (9 papers), Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (8 papers), Circadian rhythm and melatonin (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Aging (2.4k citations), Endocrine and Autonomic Systems (487 citations), Molecular Biology (3.6k citations), Cell Biology (672 citations) and Developmental Neuroscience (162 citations). Dong Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julie Ahringer, Monica Gotta, Gino Poulin, Andrew Fraser, Marc Sohrmann, Peder Zipperlen, David P. Welchman, Richard Durbin, Alexander Kanapin and Nathalie Le Bot. Their work appears in journals such as eLife, Cell Reports, Neuron, PLoS Genetics and Journal of Biological Chemistry.

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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