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, Wu‐Chun Cao, Li‐Qun Fang, Sake J. de Vlas, Xiaofeng Gu, Tiegang Lu and Jinxia Wu 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 betwe... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Feng China 15 686 371 105 79 57 22 1.0k
Shuilian Chen China 17 619 0.9× 332 0.9× 78 0.7× 101 1.3× 25 0.4× 53 932
Qingmei Han China 28 1.6k 2.3× 686 1.8× 25 0.2× 143 1.8× 84 1.5× 60 2.1k
Wen Song China 22 1.2k 1.8× 625 1.7× 13 0.1× 39 0.5× 31 0.5× 49 1.7k
Xiaoying Li China 19 969 1.4× 596 1.6× 31 0.3× 45 0.6× 33 0.6× 53 1.2k
Vijay Kumar Subbiah Malaysia 14 294 0.4× 310 0.8× 15 0.1× 62 0.8× 19 0.3× 87 768
Anita Lerch United States 12 169 0.2× 755 2.0× 57 0.5× 106 1.3× 11 0.2× 19 1.1k
Thomas Lemaître France 16 659 1.0× 336 0.9× 40 0.4× 190 2.4× 12 0.2× 20 1.2k
Julie Gilbert Canada 12 560 0.8× 253 0.7× 5 0.0× 35 0.4× 40 0.7× 28 888
Yuange Duan China 14 92 0.1× 587 1.6× 160 1.5× 868 11.0× 53 0.9× 52 1.6k
Benjamin Amoah United Kingdom 12 333 0.5× 308 0.8× 17 0.2× 36 0.5× 3 0.1× 20 587

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
3.
Lin, Shujing, et al.. (2024). Microfluidic platform for omics analysis on single cells with diverse morphology and size: A review. Analytica Chimica Acta. 1294. 342217–342217. 14 indexed citations
4.
Yu, Dianyu, Ning Wang, Yingjie Yu, et al.. (2023). Effects of electrochemical treatment and Epigallocatechin-3-gallate on emulsification, rheological and oxidation stability of soybean oil body. Journal of Food Engineering. 366. 111832–111832. 6 indexed citations
5.
Feng, Dan, Zhe Liang, Yifan Wang, et al.. (2022). Chromatin accessibility illuminates single-cell regulatory dynamics of rice root tips. BMC Biology. 20(1). 274–274. 23 indexed citations
6.
Liu, Qing, Zhe Liang, Dan Feng, et al.. (2020). Transcriptional landscape of rice roots at the single-cell resolution. Molecular Plant. 14(3). 384–394. 165 indexed citations
7.
Wang, Yixuan, et al.. (2020). Molecular and functional characterization of the flightin gene in the Oriental fruit fly, Bactrocera dorsalis. Journal of Applied Entomology. 144(8). 690–700. 1 indexed citations
8.
Han, Xiao, et al.. (2019). Plasmodesmata-Related Structural and Functional Proteins: The Long Sought-After Secrets of a Cytoplasmic Channel in Plant Cell Walls. International Journal of Molecular Sciences. 20(12). 2946–2946. 28 indexed citations
9.
Feng, Dan, Yanwei Wang, Tiegang Lu, Zhiguo Zhang, & Xiao Han. (2017). Proteomics analysis reveals a dynamic diurnal pattern of photosynthesis-related pathways in maize leaves. PLoS ONE. 12(7). e0180670–e0180670. 10 indexed citations
10.
Feng, Dan, Yanwei Wang, Jinxia Wu, Tiegang Lu, & Zhiguo Zhang. (2017). Development and drought tolerance assay of marker-free transgenic rice with OsAPX2 using biolistic particle-mediated co-transformation. The Crop Journal. 5(4). 271–281. 5 indexed citations
11.
Sun, Xuehui, Zhiguo Zhang, Jinxia Wu, et al.. (2016). The Oryza sativa Regulator HDR1 Associates with the Kinase OsK4 to Control Photoperiodic Flowering. PLoS Genetics. 12(3). e1005927–e1005927. 35 indexed citations
12.
Xiao, Shi, Xuehui Sun, Zhiguo Zhang, et al.. (2014). GLUCAN SYNTHASE-LIKE 5 (GSL5) Plays an Essential Role in Male Fertility by Regulating Callose Metabolism During Microsporogenesis in Rice. Plant and Cell Physiology. 56(3). 497–509. 83 indexed citations
13.
Abdullahi, A. Y., et al.. (2012). Effects of creatine monohydrate on growth performance, carcass characteristics and meat quality of yellow-feathered broilers.. Journal of Animal and Veterinary Advances. 11(23). 4382–4388. 2 indexed citations
14.
Vlas, Sake J. de, et al.. (2009). Mathematical modelling of SARS and other infectious diseases in China: a review. Tropical Medicine & International Health. 14(s1). 92–100. 24 indexed citations
15.
Cooper, Ben S., Li‐Qun Fang, Jieping Zhou, et al.. (2009). Transmission of SARS in three Chinese hospitals. Tropical Medicine & International Health. 14(s1). 71–78. 18 indexed citations
16.
Fang, Li‐Qun, Sake J. de Vlas, Dan Feng, et al.. (2009). Geographical spread of SARS in mainland China. Tropical Medicine & International Health. 14(s1). 14–20. 58 indexed citations
17.
Feng, Dan, Sake J. de Vlas, Li‐Qun Fang, et al.. (2009). The SARS epidemic in mainland China: bringing together all epidemiological data. Tropical Medicine & International Health. 14(s1). 4–13. 38 indexed citations
18.
Vlas, Sake J. de, Dan Feng, Ben S. Cooper, et al.. (2009). The impact of public health control measures during the SARS epidemic in mainland China. Tropical Medicine & International Health. 14(s1). 101–104. 20 indexed citations
19.
Goubar, Aïcha, et al.. (2008). An approach to estimate the number of SARS cases imported by international air travel. Epidemiology and Infection. 137(7). 1019–1031. 24 indexed citations
20.
Feng, Dan, et al.. (2005). Effects of Different Mycotoxin Adsorbents on Performance, Meat Characteristics and Blood Profiles of Avian Broilers Fed Mold Contaminated Corn. Asian-Australasian Journal of Animal Sciences. 19(1). 72–79. 24 indexed citations

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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