Dan Feng

1.5k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Dan Feng is a scholar working on Plant Science, Molecular Biology and Modeling and Simulation. According to data from OpenAlex, Dan Feng has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 6 papers in Modeling and Simulation. Recurrent topics in Dan Feng's work include Plant Molecular Biology Research (7 papers), COVID-19 epidemiological studies (6 papers) and Single-cell and spatial transcriptomics (3 papers). Dan Feng is often cited by papers focused on Plant Molecular Biology Research (7 papers), COVID-19 epidemiological studies (6 papers) and Single-cell and spatial transcriptomics (3 papers). Dan Feng collaborates with scholars based in China, Netherlands and United States. Dan Feng's co-authors include Xiao Han, Ning Li, Lijun Huang, Deyi Yuan, Li‐Qun Fang, Wu‐Chun Cao, Sake J. de Vlas, Xiaofeng Gu, Tiegang Lu and Jan U. Lohmann and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and New Phytologist.

In The Last Decade

Dan Feng

20 papers receiving 1.0k citations

Hit Papers

Signaling Crosstalk between Salicylic Acid and Ethylene/J... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Dan Feng
Comparison fields: 5 of 106
  • Plant Science 686
  • Molecular Biology 371
  • Modeling and Simulation 105
  • Infectious Diseases 79
  • Insect Science 57
Replace Shuilian Chen with:
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Anita Lerch United States
Thomas Lemaître France
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Yuange Duan China
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Shuilian Chen China View profile →
Citations per field, relative to Dan Feng
Dan Feng · 1×
Citations per year, relative to Dan Feng
Dan Feng · 1×

Countries citing papers authored by Dan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Dan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Feng. A scholar is included among the top collaborators of Dan Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Feng. Dan Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 14
4 6
5 23
6 165
7 28
8
Signaling Crosstalk between Salicylic Acid and Ethylene/Jasmonate in Plant Defense: Do We Understand What They Are Whispering? breakdown →
418
9 10
10 5
11 35
12 83
13
Effects of creatine monohydrate on growth performance, carcass characteristics and meat quality of yellow-feathered broilers.
2
14 24
15 18
16 38
17 58
18 20
19 24
20 24

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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2026