Qiang‐Nan Feng

812 total citations
20 papers, 555 citations indexed

About

Qiang‐Nan Feng is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Qiang‐Nan Feng has authored 20 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 17 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Qiang‐Nan Feng's work include Plant Molecular Biology Research (12 papers), Photosynthetic Processes and Mechanisms (12 papers) and Plant Reproductive Biology (12 papers). Qiang‐Nan Feng is often cited by papers focused on Plant Molecular Biology Research (12 papers), Photosynthetic Processes and Mechanisms (12 papers) and Plant Reproductive Biology (12 papers). Qiang‐Nan Feng collaborates with scholars based in China, Belgium and Hong Kong. Qiang‐Nan Feng's co-authors include Sha Li, Yan Zhang, Fu‐Rong Ge, Liwen Jiang, Xin‐Ying Zhao, Shi‐Jian Song, Sen Chai, Hao Wang, Liang‐Zi Zhou and Yonglun Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Qiang‐Nan Feng

19 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang‐Nan Feng China 13 446 434 72 23 18 20 555
Xin‐Ying Zhao China 11 439 1.0× 439 1.0× 75 1.0× 43 1.9× 12 0.7× 20 551
Wessel van Leeuwen Netherlands 10 309 0.7× 395 0.9× 52 0.7× 20 0.9× 14 0.8× 12 519
Kiril Mishev Bulgaria 12 377 0.8× 306 0.7× 72 1.0× 16 0.7× 14 0.8× 27 499
Daria Bloch Israel 12 724 1.6× 654 1.5× 101 1.4× 29 1.3× 20 1.1× 15 838
Fu‐Rong Ge China 12 415 0.9× 412 0.9× 47 0.7× 39 1.7× 9 0.5× 14 497
Cecilia Rodríguez-Furlán United States 13 326 0.7× 307 0.7× 85 1.2× 19 0.8× 19 1.1× 20 467
Yashwanti Mudgil India 11 534 1.2× 451 1.0× 41 0.6× 41 1.8× 9 0.5× 22 647
Ying Feng China 8 653 1.5× 434 1.0× 124 1.7× 17 0.7× 18 1.0× 9 840
Xianfeng Morgan Xu United States 13 517 1.2× 615 1.4× 96 1.3× 16 0.7× 6 0.3× 13 789
Dong Hye Seo South Korea 10 446 1.0× 394 0.9× 37 0.5× 8 0.3× 11 0.6× 20 585

Countries citing papers authored by Qiang‐Nan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Qiang‐Nan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang‐Nan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang‐Nan Feng. A scholar is included among the top collaborators of Qiang‐Nan 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 Qiang‐Nan Feng. Qiang‐Nan 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
1.
Zhu, Shihao, et al.. (2024). Arabidopsis Sar1b is critical for pollen tube growth. Plant Molecular Biology. 114(3). 64–64.
2.
Wan, Zhi‐Yuan, et al.. (2024). Arabidopsis class A S-acyl transferases modify the pollen receptors LIP1 and PRK1 to regulate pollen tube guidance. The Plant Cell. 36(9). 3419–3434. 3 indexed citations
3.
Feng, Qiang‐Nan, et al.. (2024). CBP60b clade proteins are prototypical transcription factors mediating immunity. PLANT PHYSIOLOGY. 196(2). 1489–1501. 2 indexed citations
4.
Feng, Qiang‐Nan, Freya De Winter, Marlies Huysmans, et al.. (2023). Repressive ZINC FINGER OF ARABIDOPSIS THALIANA proteins promote programmed cell death in the Arabidopsis columella root cap. PLANT PHYSIOLOGY. 192(2). 1151–1167. 7 indexed citations
5.
Wang, Jie, Norbert Bollier, Rafael Andrade Buono, et al.. (2023). A developmentally controlled cellular decompartmentalization process executes programmed cell death in the Arabidopsis root cap. The Plant Cell. 36(4). 941–962. 13 indexed citations
6.
Feng, Qiang‐Nan, Riet De Rycke, Yasin Dagdas, & Moritz K. Nowack. (2022). Autophagy promotes programmed cell death and corpse clearance in specific cell types of the Arabidopsis root cap. Current Biology. 32(9). 2110–2119.e3. 24 indexed citations
7.
Li, En, Yong Cui, Fu‐Rong Ge, et al.. (2018). AGC1.5 Kinase Phosphorylates RopGEFs to Control Pollen Tube Growth. Molecular Plant. 11(9). 1198–1209. 43 indexed citations
8.
Feng, Qiang‐Nan, et al.. (2018). Vacuolar trafficking in pollen tube growth and guidance. Plant Signaling & Behavior. 13(5). e1464854–e1464854. 2 indexed citations
9.
Feng, Qiang‐Nan, et al.. (2018). The ADAPTOR PROTEIN-3 Complex Mediates Pollen Tube Growth by Coordinating Vacuolar Targeting and Organization. PLANT PHYSIOLOGY. 177(1). 216–225. 25 indexed citations
10.
Song, Shi‐Jian, Qiang‐Nan Feng, Chunlong Li, et al.. (2018). A Tonoplast-Associated Calcium-Signaling Module Dampens ABA Signaling during Stomatal Movement. PLANT PHYSIOLOGY. 177(4). 1666–1678. 49 indexed citations
11.
Feng, Qiang‐Nan, et al.. (2017). Reactive oxygen species mediate tapetal programmed cell death in tobacco and tomato. BMC Plant Biology. 17(1). 76–76. 52 indexed citations
12.
Feng, Qiang‐Nan & Yan Zhang. (2017). Identifying Novel Regulators of Vacuolar Trafficking by Combining Fluorescence Imaging-Based Forward Genetic Screening and In Vitro Pollen Germination. Methods in molecular biology. 1662. 193–198. 2 indexed citations
13.
Feng, Qiang‐Nan, et al.. (2017). Adaptor Protein-3-Dependent Vacuolar Trafficking Involves a Subpopulation of COPII and HOPS Tethering Proteins. PLANT PHYSIOLOGY. 174(3). 1609–1620. 48 indexed citations
14.
Wang, Jia‐Gang, Chong Feng, Haihong Liu, et al.. (2017). AP1G mediates vacuolar acidification during synergid-controlled pollen tube reception. Proceedings of the National Academy of Sciences. 114(24). E4877–E4883. 28 indexed citations
15.
Wan, Zhi‐Yuan, Sen Chai, Fu‐Rong Ge, et al.. (2017). Arabidopsis PROTEIN SACYL TRANSFERASE4 mediates root hair growth. The Plant Journal. 90(2). 249–260. 37 indexed citations
16.
Feng, Qiang‐Nan, Sha Li, & Yan Zhang. (2017). Update on adaptor protein-3 in Arabidopsis. Plant Signaling & Behavior. 12(8). e1356969–e1356969. 2 indexed citations
17.
Chai, Sen, Fu‐Rong Ge, Qiang‐Nan Feng, Sha Li, & Yan Zhang. (2016). PLURIPETALA mediates ROP2 localization and stability in parallel to SCN1 but synergistically with TIP1 in root hairs. The Plant Journal. 86(5). 413–425. 26 indexed citations
18.
Feng, Qiang‐Nan, Hui Kang, Shi‐Jian Song, et al.. (2015). Arabidopsis RhoGDIs Are Critical for Cellular Homeostasis of Pollen Tubes. PLANT PHYSIOLOGY. 170(2). 841–856. 40 indexed citations
19.
Li, En, Qiang‐Nan Feng, Xin‐Ying Zhao, et al.. (2015). Protein palmitoylation is critical for the polar growth of root hairs in Arabidopsis. BMC Plant Biology. 15(1). 50–50. 37 indexed citations
20.
Zhou, Liang‐Zi, Sha Li, Qiang‐Nan Feng, et al.. (2013). PROTEIN S-ACYL TRANSFERASE10 Is Critical for Development and Salt Tolerance in Arabidopsis  . The Plant Cell. 25(3). 1093–1107. 115 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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