Feng‐Ling Si

754 citations
25 papers · 552 · h-index 15

Impact in

Papers in

Feng‐Ling Si

23 papers receiving 548 citations

Peers

Feng‐Ling Si
Comparison fields: 5 of 59
  • Insect Science 209
  • Cellular and Molecular Neuroscience 94
  • Public Health, Environmental and Occupational Health 103
  • Molecular Biology 250
  • Genetics 90
Replace Zhengbo He with:
Zhengbo He China
Astrid Bryon Belgium
Brandon J. Schemerhorn United States
Marina MacLean United States
Yijin Wang China
Longsheng Xing China
Keikichi Uchida Japan
Chansak Suwanchaichinda United States
Marcelo Neves de Medeiros Brazil
Norah K. Olembo Kenya
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 201960
2 201748
3 201947
4 201647
5 201533
6 201432
7 201632
8 201831
9 202229
10 201929
11 201725
12 201522
13 201220
14 201620
15 201818
16 201414
17 201913
18 201910
19 201310
20 20248

About Feng‐Ling Si

Feng‐Ling Si is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Insect Science, Cellular and Molecular Neuroscience and Ecology, having authored 25 papers that have together received 552 indexed citations. Recurring topics across this work include Malaria Research and Control (6 papers), Insect Resistance and Genetics (5 papers), Neurobiology and Insect Physiology Research (5 papers), Mosquito-borne diseases and control (4 papers), Insect symbiosis and bacterial influences (4 papers), Physiological and biochemical adaptations (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Insect-Plant Interactions and Control (2 papers). The work is most often cited by research in Insect Science (209 citations), Cellular and Molecular Neuroscience (94 citations), Public Health, Environmental and Occupational Health (103 citations), Molecular Biology (250 citations) and Genetics (90 citations). Feng‐Ling Si has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bin Chen, Zhen‐Tian Yan, Youjin Hao, Yong Zhou, Qiyi He, Yu‐Juan Zhang, Liang Qiao, Zhengbo He, Wenbo Fu and Zhengwen Yan. Their work appears in journals such as Parasites & Vectors, Pest Management Science, Insect Science, Malaria Journal and Journal of Insect Physiology.

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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