Chaowei Cai

414 total citations
9 papers, 189 citations indexed

About

Chaowei Cai is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chaowei Cai has authored 9 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Plant Science and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chaowei Cai's work include Research in Cotton Cultivation (5 papers), Plant Virus Research Studies (3 papers) and Plant Molecular Biology Research (3 papers). Chaowei Cai is often cited by papers focused on Research in Cotton Cultivation (5 papers), Plant Virus Research Studies (3 papers) and Plant Molecular Biology Research (3 papers). Chaowei Cai collaborates with scholars based in China and United States. Chaowei Cai's co-authors include Yingfan Cai, Yǒulù Yuán, Quan Sun, Jinggao Liu, Yùzhēn Shí, Chaofeng Wu, Xiongming Du, Guanghao Wang, Zhen Zhang and Ping Wang and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and BMC Genomics.

In The Last Decade

Chaowei Cai

9 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaowei Cai China	7	163	95	25	11	11	9	189
Qingshuai Chen China	8	227 1.4×	159 1.7×	16 0.6×	6 0.5×	15 1.4×	14	270
Naomi Miyaji Japan	9	272 1.7×	162 1.7×	36 1.4×	21 1.9×	12 1.1×	22	301
Suraj Jamge Netherlands	5	311 1.9×	180 1.9×	27 1.1×	5 0.5×	18 1.6×	6	339
Jianguang Liu China	7	160 1.0×	73 0.8×	16 0.6×	3 0.3×	7 0.6×	14	178
Michał Krzysztoń Poland	10	213 1.3×	220 2.3×	29 1.2×	4 0.4×	33 3.0×	19	314
Sally‐Ann Walford Australia	3	321 2.0×	158 1.7×	21 0.8×	3 0.3×	3 0.3×	5	335
Mengqiao Pan China	5	95 0.6×	40 0.4×	28 1.1×	3 0.3×	7 0.6×	6	116
Anna Åsman Sweden	7	254 1.6×	95 1.0×	59 2.4×	23 2.1×	8 0.7×	10	277
Manuel González‐Fuente Germany	6	198 1.2×	82 0.9×	9 0.4×	23 2.1×	3 0.3×	10	256
Dalen Fultz United States	6	388 2.4×	227 2.4×	12 0.5×	4 0.4×	3 0.3×	7	411

Countries citing papers authored by Chaowei Cai

Since Specialization

Citations

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

Fields of papers citing papers by Chaowei Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaowei Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Chaowei Cai. A scholar is included among the top collaborators of Chaowei Cai 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 Chaowei Cai. Chaowei Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Liu, Jinlei, Quan Sun, Yu Zhang, et al.. (2022). lncRNA7 and lncRNA2 modulate cell wall defense genes to regulate cotton resistance to Verticillium wilt. PLANT PHYSIOLOGY. 189(1). 264–284. 54 indexed citations

Cai, Chaowei, et al.. (2021). The use of ribosome-nascent chain complex-seq to reveal the translated mRNA profile and the role of ASN1 in resistance to Verticillium wilt in cotton. Genomics. 113(6). 3872–3880. 7 indexed citations

Wang, Ping, Sai Zhang, Quan Sun, et al.. (2019). Functional analysis of theGbDWARF14gene associated with branching development in cotton. PeerJ. 7. e6901–e6901. 11 indexed citations

Cai, Chaowei, Chaofeng Wu, Yùzhēn Shí, et al.. (2018). Identification of circularRNAs and their targets in Gossypium under Verticillium wilt stress based on RNA-seq. PeerJ. 6. e4500–e4500. 34 indexed citations

Liu, Jinggao, et al.. (2017). Genome-wide comparative analysis of NBS-encoding genes in four Gossypium species. BMC Genomics. 18(1). 292–292. 23 indexed citations

Long, Lu, Quan Sun, Wei-Na Wang, et al.. (2017). Molecular characterisation and functional analysis of a cytochrome P450 gene in cotton. Biologia. 72(1). 43–52. 3 indexed citations

Sun, Quan, Xiongming Du, Chaowei Cai, et al.. (2016). To Be a Flower or Fruiting Branch: Insights Revealed by mRNA and Small RNA Transcriptomes from Different Cotton Developmental Stages. Scientific Reports. 6(1). 23212–23212. 23 indexed citations

Wang, Weina, Yǒulù Yuán, Quan Sun, et al.. (2016). Characterization, Expression, and Functional Analysis of a Novel NAC Gene Associated with Resistance to Verticillium Wilt and Abiotic Stress in Cotton. G3 Genes Genomes Genetics. 6(12). 3951–3961. 33 indexed citations

Wang, Wei-Na, Quan Sun, Chaowei Cai, et al.. (2016). Molecular characterization and alternative splicing of a MYB transcription factor gene in tumourous stem mustard and its response to abiotic stresses. Biologia. 71(5). 538–546. 1 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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