Chengran Wang

539 citations
26 papers · 329 · h-index 10

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant responses to water stress

Papers in

    • Genetic diversity and population structure 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Plant Molecular Biology Research 3

Chengran Wang

23 papers receiving 326 citations

Peers

Chengran Wang
Comparison fields: 5 of 57
  • Plant Science 147
  • Biochemistry 14
  • Agronomy and Crop Science 23
  • Molecular Biology 137
  • Endocrinology 10
Replace Wenwen Liu with:
Wenwen Liu China
Vimlendu Bhushan Sinha India
Maria Andrea Ortega United States
Jianju Liu China
Seonghee Lee United States
Bingyu Zhao China
Yanli Xiang China
Xingying Yan China
Elisa Cappetta Italy
Chengran Wang relative to Wenwen Liu China Wenwen Liu's profile →
Citations per field
00.5×2×4×6×7.4×
Wenwen Liu · 1×
Citations per year

Countries citing papers authored by Chengran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201870
2 201935
3 201833
4 201827
5 201926
6 201826
7 201722
8 202418
9 202413
10 202411
11 201810
12 20257
13 20256
14 20254
15 20204
16 20254
17 20223
18 20253
19 20242
20 20212

About Chengran Wang

Chengran Wang is a scholar working on Genetics, Plant Science, Agronomy and Crop Science, Molecular Biology and Neurology, having authored 26 papers that have together received 329 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (3 papers), Bioenergy crop production and management (3 papers), Genetic diversity and population structure (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Extracellular vesicles in disease (3 papers), Plant Gene Expression Analysis (2 papers), Visual and Cognitive Learning Processes (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Plant Science (147 citations), Biochemistry (14 citations), Agronomy and Crop Science (23 citations), Molecular Biology (137 citations) and Endocrinology (10 citations). Chengran Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haidong Yan, Xinquan Zhang, Linkai Huang, Peilin Chen, Sifan Zhou, Taylor Frazier, Bin Xu, J Chen, Bingyu Zhao and Jinlan Jiang. Their work appears in journals such as Stem Cell Research & Therapy, International Journal of Nanomedicine, Physical Review Physics Education Research, Molecular Breeding and Journal of Experimental Botany.

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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