Feng‐Ling Si

738 citations
25 papers · 504 · h-index 14

Impact in

Papers in

Feng‐Ling Si

22 papers receiving 504 citations

Peers

Feng‐Ling Si
Comparison fields: 5 of 60
  • Insect Science 237
  • Cellular and Molecular Neuroscience 87
  • Molecular Biology 288
  • Aging 7
  • Public Health, Environmental and Occupational Health 111
Replace Zhengbo He with:
Zhengbo He China
Brandon J. Schemerhorn United States
Lisa L. Drake United States
Astrid Bryon Netherlands
Sophie Tarès France
Marina MacLean United States
Nurper Güz Türkiye
Shigui Wang China
Keikichi Uchida Japan
Cam Donly Canada
Feng‐Ling Si relative to Zhengbo He China Zhengbo He's profile →
Citations per field
00.5×1.5×2.4×
Zhengbo He · 1×
Citations per year

Countries citing papers authored by Feng‐Ling Si

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Ling Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Ling Si. 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 Feng‐Ling Si. The network helps show where Feng‐Ling Si may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201647
3 201943
4 201742
5 201531
6 201431
7 201830
8 201927
9 202224
10 201624
11 201723
12 201522
13 201619
14 201817
15 201913
16 201213
17 201413
18 201910
19 20139
20 20247

About Feng‐Ling Si

Feng‐Ling Si is a scholar working on Molecular Biology, Insect Science, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Ecology, having authored 25 papers that have together received 504 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (12 papers), Malaria Research and Control (7 papers), Insect symbiosis and bacterial influences (7 papers), Mosquito-borne diseases and control (6 papers), Neurobiology and Insect Physiology Research (5 papers), Invertebrate Immune Response Mechanisms (3 papers), Physiological and biochemical adaptations (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Insect Science (237 citations), Cellular and Molecular Neuroscience (87 citations), Molecular Biology (288 citations), Aging (7 citations) and Public Health, Environmental and Occupational Health (111 citations). Feng‐Ling Si has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bin Chen, Zhen‐Tian Yan, Yong Zhou, Youjin Hao, Qiyi He, Yu‐Juan Zhang, Liang Qiao, Zhengbo He, Wenbo Fu and Zhengwen Yan. Their work appears in journals such as Pest Management Science, Parasites & Vectors, Insect Science, Malaria Journal and G3 Genes Genomes Genetics.

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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