Xingwen Zhou

436 citations
32 papers · 327 indexed · h-index 10

Xingwen Zhou

27 papers receiving 323 citations

Peers

Xingwen Zhou
Comparison fields: 5 of 80
  • Biochemistry 67
  • Rehabilitation 25
  • Behavioral Neuroscience 11
  • Molecular Biology 199
  • Complementary and alternative medicine 19
Replace Carolina Parga Martins Pereira with:
Carolina Parga Martins Pereira Brazil
Denis de Melo Soares Brazil
Lisa M. Vislocky United States
Gianluca Paventi Italy
Zhichao Zhang China
Sharon Mordechay Israel
Mehdi Rahnema Iran
Yanjie Gao China
F Leung Hong Kong
Xingwen Zhou relative to Carolina Parga Martins Pereira Brazil Carolina Parga Martins Pereira's profile →
Citations per field
00.5×6.3×
Carolina Parga Martins Pereira · 1×
Citations per year

Countries citing papers authored by Xingwen Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xingwen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 20245
4 20240
5 20232
6 20231
7 20226
8 20223
9 202210
10 202114
11 201921
12 201637
13 20151
14
cDNA Cloning and Expression Analysis of CjAPL1 Gene from Camellia japonica
20130
15 20131
16 201356
17
Establishment and Optimization of the AFLP Silver-staining Reaction System for Paeonia suffruticosa L.Genome
20061
18
Development and Evolution of Leaves of Ginkgo Biloba
20062
19 199849
20 199616

About Xingwen Zhou

Xingwen Zhou is a scholar working on Biochemistry, Rehabilitation and Modeling and Simulation, having authored 32 papers that have together received 327 indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (7 papers), Plant biochemistry and biosynthesis (6 papers), Plant Gene Expression Analysis (6 papers), Genomics and Phylogenetic Studies (4 papers), Advanced Control Systems Design (3 papers), Plant Parasitism and Resistance (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Plant Diversity and Evolution (3 papers). The work is most often cited by research in Biochemistry (67 citations), Rehabilitation (25 citations) and Behavioral Neuroscience (11 citations). Xingwen Zhou has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yulin Zhu, Zhengqi Fan, Hengfu Yin, Jiyuan Li, Yue Chen, Benjamin H. Natelson, William C. Gause, John E. Ottenweller, Jiyuan Li and Chao Xiong. Their work appears in journals such as SHILAP Revista de lepidopterología, Gene and Frontiers in Plant Science.

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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