Jun Yan

6.1k citations
111 papers · 3.5k indexed · h-index 31

Impact in

Papers in

    • RNA Research and Splicing 10
    • Plant Gene Expression Analysis 7
    • RNA modifications and cancer 6
    • Plant Molecular Biology Research 12
    • Plant nutrient uptake and metabolism 7

Jun Yan

105 papers receiving 3.5k citations

Peers

Jun Yan
Comparison fields: 5 of 150
  • Endocrine and Autonomic Systems 672
  • Aging 146
  • Cellular and Molecular Neuroscience 559
  • Cognitive Neuroscience 438
  • Physiology 587
Replace Tetsuya Kobayashi with:
Tetsuya Kobayashi Japan
William J. Joiner United States
Jason Rihel United Kingdom
Takashi Yoshimura Japan
Lu Lu United States
Steven L. Coon United States
Maurice R. Elphick United Kingdom
Thomas J. Park United States
Peter Kloppenburg Germany
Jun Yan relative to Tetsuya Kobayashi Japan Tetsuya Kobayashi's profile →
Citations per field
00.5×10×15×
Tetsuya Kobayashi · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987440
2 2008236
3 2020209
4 2013143
5 2007129
6 201692
7 201190
8 200585
9 201582
10 200981
11 201278
12 202074
13 201473
14 201665
15 202064
16 200664
17 201857
18 201256
19 201356
20 201454

About Jun Yan

Jun Yan is a scholar working on Molecular Biology, Plant Science, Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 111 papers that have together received 3.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (15 papers), Plant Molecular Biology Research (12 papers), Adipose Tissue and Metabolism (11 papers), RNA Research and Splicing (10 papers), Bat Biology and Ecology Studies (8 papers), Plant nutrient uptake and metabolism (7 papers), Plant Gene Expression Analysis (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (672 citations), Aging (146 citations), Cellular and Molecular Neuroscience (559 citations), Cognitive Neuroscience (438 citations) and Physiology (587 citations). Jun Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haifang Wang, E.G. Jones, SH Hendry, H. D. Schwark, Thomas G. Marr, Chunxuan Shao, Brian M. Barnes, Yuting Liu, Yichi Xu and Gang Wang. Their work appears in journals such as BMC Genomics, Scientific Reports, PLoS ONE, International Journal of Molecular Sciences and Physiological Genomics.

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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