Ye Sun

1.4k citations
48 papers · 833 · h-index 19

Impact in

Papers in

    • Genomics and Phylogenetic Studies 8
    • Plant and Fungal Species Descriptions 6
    • Genetic diversity and population structure 17

Ye Sun

44 papers receiving 801 citations

Peers

Ye Sun
Comparison fields: 5 of 103
  • Rheumatology 215
  • Horticulture 9
  • Ecology, Evolution, Behavior and Systematics 144
  • Pharmacology 44
  • Genetics 121
Replace Katalin Molnár with:
Katalin Molnár Hungary
Yaya Kassogué Mali
Antonio Furlan Italy
Laurent Varesi France
John D. Paulson United States
Débora J. Cohen Argentina
Yongtao Guan United States
Liqing Fan China
Karen Hayden United States
yu yu China
Ye Sun relative to Katalin Molnár Hungary Katalin Molnár's profile →
Citations per field
00.5×8.8×
Katalin Molnár · 1×
Citations per year

Countries citing papers authored by Ye Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ye Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010111
2 201751
3 201247
4 201245
5 200539
6 201439
7 201436
8 201531
9 201230
10 200728
11 201627
12 200625
13 201023
14 201023
15 201422
16 200520
17 200720
18 201020
19 201018
20 201617

About Ye Sun

Ye Sun is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Plant Science and Rheumatology, having authored 48 papers that have together received 833 indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Genomics and Phylogenetic Studies (8 papers), Plant and Fungal Species Descriptions (6 papers), Plant Diversity and Evolution (5 papers), Plant Taxonomy and Phylogenetics (5 papers), Crime Patterns and Interventions (3 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Rheumatology (215 citations), Horticulture (9 citations), Ecology, Evolution, Behavior and Systematics (144 citations), Pharmacology (44 citations) and Genetics (121 citations). Ye Sun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hongwen Huang, Kwok‐Pui Fung, Carol Hitchon, Carlos Fabián Vargas-Mendoza, Carine Salliot, Pang‐Chui Shaw, Wanruchada Katchamart, Axel Finckh, Claire Bombardier and Yan Lü. Their work appears in journals such as The Journal of Rheumatology, Annals of the Rheumatic Diseases, Plants, PLoS ONE and Molecular Phylogenetics and Evolution.

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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