Chaofan Shi

50 total papers · 482 total citations
39 papers, 376 citations indexed

About

Chaofan Shi is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology and Genetics. According to data from OpenAlex, Chaofan Shi has authored 39 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Paleontology and 6 papers in Genetics. Recurrent topics in Chaofan Shi's work include Fossil Insects in Amber (32 papers), Plant and animal studies (29 papers) and Hymenoptera taxonomy and phylogeny (15 papers). Chaofan Shi is often cited by papers focused on Fossil Insects in Amber (32 papers), Plant and animal studies (29 papers) and Hymenoptera taxonomy and phylogeny (15 papers). Chaofan Shi collaborates with scholars based in China, United States and Germany. Chaofan Shi's co-authors include Dong Ren, Qiang Yang, Shaun L. Winterton, Liming Luo, Zhong Sun, Ruixue Liu, Minhua Wu, Hong Pang, Vladimir N. Makarkin and Chungkun Shih and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Energy Policy.

In The Last Decade

Chaofan Shi

36 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Chaofan Shi	270	46	38	27	24	39	376
Sérgio de Freitas	176 0.7×	31 0.7×	46 1.2×	11 0.4×	47 2.0×	71	415
Jeffrey S. Carmichael	185 0.7×	60 1.3×	11 0.3×	11 0.4×	26 1.1×	20	352
Rosanne Quinnell	40 0.1×	65 1.4×	6 0.2×	13 0.5×	16 0.7×	42	405
Joel B. Hägen	74 0.3×	12 0.3×	73 1.9×	18 0.7×	3 0.1×	28	420
Helen I. Aston	137 0.5×	68 1.5×	10 0.3×	6 0.2×	140 5.8×	25	383
Curtis Clark	130 0.5×	52 1.1×	37 1.0×		21 0.9×	24	377
M. van der Velde	227 0.8×	15 0.3×	36 0.9×		20 0.8×	27	392
Valentina Pagani	87 0.3×	60 1.3×	14 0.4×		7 0.3×	27	359
Anaïs Gibert	161 0.6×	28 0.6×	34 0.9×		7 0.3×	21	363
Ruth Young	19 0.1×	52 1.1×	10 0.3×	142 5.3×	38 1.6×	38	368

Countries citing papers authored by Chaofan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Chaofan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaofan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofan Shi. A scholar is included among the top collaborators of Chaofan Shi 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 Chaofan Shi. Chaofan Shi 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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