Chunnian Da

39 total papers · 602 total citations
33 papers, 520 citations indexed

About

Chunnian Da is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Artificial Intelligence. According to data from OpenAlex, Chunnian Da has authored 33 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, Toxicology and Mutagenesis, 17 papers in Pollution and 3 papers in Artificial Intelligence. Recurrent topics in Chunnian Da's work include Toxic Organic Pollutants Impact (21 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Environmental Toxicology and Ecotoxicology (10 papers). Chunnian Da is often cited by papers focused on Toxic Organic Pollutants Impact (21 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Environmental Toxicology and Ecotoxicology (10 papers). Chunnian Da collaborates with scholars based in China, Hong Kong and South Korea. Chunnian Da's co-authors include Guijian Liu, Zijiao Yuan, Houqi Liu, Shanshan Wang, Ruwei Wang, Chuncai Zhou, Ge Meng, Michael Hon‐Wah Lam, Yuan Liu and Quan Tang and has published in prestigious journals such as Chemical Engineering Journal, Environmental Pollution and Chemosphere.

In The Last Decade

Chunnian Da

31 papers receiving 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chunnian Da	373	335	60	56	39	33	520
Yongmin Wang	386 1.0×	275 0.8×	60 1.0×	82 1.5×	40 1.0×	35	591
Karina S. Machado	280 0.8×	288 0.9×	77 1.3×	44 0.8×	35 0.9×	27	527
Noelia S. La Colla	286 0.8×	260 0.8×	59 1.0×	56 1.0×	20 0.5×	24	448
Samir Benbrahim	327 0.9×	311 0.9×	60 1.0×	57 1.0×	27 0.7×	21	526
Yongjie Wang	384 1.0×	350 1.0×	58 1.0×	57 1.0×	50 1.3×	30	573
Yan Zhu	270 0.7×	213 0.6×	72 1.2×	29 0.5×	44 1.1×	39	502
Jalal Halwani	238 0.6×	241 0.7×	103 1.7×	39 0.7×	43 1.1×	47	579
Maoshan Lian	267 0.7×	346 1.0×	80 1.3×	24 0.4×	46 1.2×	18	496
Alexander W. Kim	304 0.8×	266 0.8×	34 0.6×	56 1.0×	26 0.7×	19	517
Jinglu Wu	321 0.9×	280 0.8×	71 1.2×	46 0.8×	66 1.7×	15	491

Countries citing papers authored by Chunnian Da

Since Specialization

Citations

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

Fields of papers citing papers by Chunnian Da

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunnian Da

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

All Works

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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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