Yan Sun

1.9k citations
78 papers · 1.4k · h-index 22

Impact in

Papers in

Yan Sun

74 papers receiving 1.4k citations

Peers

Yan Sun
Comparison fields: 5 of 89
  • Insect Science 611
  • Public Health, Environmental and Occupational Health 467
  • Molecular Biology 928
  • Plant Science 346
  • Cellular and Molecular Neuroscience 120
Replace Mário A.C. Silva-Neto with:
Mário A.C. Silva-Neto Brazil
John C. Morgan United Kingdom
Chun-Taek Oh South Korea
Ryuichi Yamada Japan
Kristopher Silver United States
Eun-Mi Ha South Korea
Iain L. Johnstone United Kingdom
S.J. Goodson United Kingdom
Dov Borovsky United States
Yan Sun relative to Mário A.C. Silva-Neto Brazil Mário A.C. Silva-Neto's profile →
Citations per field
00.5×3.0×
Mário A.C. Silva-Neto · 1×
Citations per year

Countries citing papers authored by Yan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201079
2 201573
3 201466
4 201859
5 200553
6 201448
7 201747
8 201543
9 200543
10 201038
11 201538
12 201637
13 201233
14 201532
15 201132
16 201530
17 201626
18 200626
19 201823
20 202122

About Yan Sun

Yan Sun is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Insect Science, Plant Science and Immunology, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (39 papers), Insect Resistance and Genetics (36 papers), Insect symbiosis and bacterial influences (16 papers), Malaria Research and Control (15 papers), Insect Pest Control Strategies (10 papers), Insect and Pesticide Research (8 papers), Insect-Plant Interactions and Control (6 papers) and Invertebrate Immune Response Mechanisms (4 papers). The work is most often cited by research in Insect Science (611 citations), Public Health, Environmental and Occupational Health (467 citations), Molecular Biology (928 citations), Plant Science (346 citations) and Cellular and Molecular Neuroscience (120 citations). Yan Sun has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Changliang Zhu, Lei Ma, Dan Zhou, Bo Shen, Dan Zhou, Bo Shen, Qin Guo, Donghui Zhang, Weijie Wang and Lei Ma. Their work appears in journals such as Parasites & Vectors, Parasitology Research, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Pest Management Science and PLoS ONE.

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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