Chudi Guan

19 total papers · 742 total citations
17 papers, 611 citations indexed

About

Chudi Guan is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Chudi Guan has authored 17 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Ecology and 5 papers in Biotechnology. Recurrent topics in Chudi Guan's work include Glycosylation and Glycoproteins Research (7 papers), Enzyme Production and Characterization (5 papers) and Bacteriophages and microbial interactions (5 papers). Chudi Guan is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Enzyme Production and Characterization (5 papers) and Bacteriophages and microbial interactions (5 papers). Chudi Guan collaborates with scholars based in United States. Chudi Guan's co-authors include Hwai‐Chen Guo, Xuhong Qian, Deirdre A. Buckley, Tao Cui, Wei Liao, Donald G. Comb, Jack S. Benner, Nathan N. Aronson, Yuan Liu and Thomas H. Plummer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Chudi Guan

17 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Chudi Guan	492	89	86	83	82	17	611
Raili Seppälä	439 0.9×	44 0.5×	71 0.8×	30 0.4×	43 0.5×	17	643
Martin Rachmeler	485 1.0×	76 0.9×	38 0.4×	64 0.8×	22 0.3×	19	663
Michael M. Crerar	426 0.9×	34 0.4×	57 0.7×	32 0.4×	85 1.0×	24	698
Bruce A. Sherf	438 0.9×	44 0.5×	45 0.5×	63 0.8×	36 0.4×	20	681
Gaston O. Daumy	344 0.7×	72 0.8×	37 0.4×	114 1.4×	41 0.5×	23	565
C.A. Regni	446 0.9×	138 1.6×	88 1.0×	134 1.6×	64 0.8×	10	564
S Kovacevic	365 0.7×	144 1.6×	32 0.4×	48 0.6×	35 0.4×	13	641
Takeharu Masaki	398 0.8×	99 1.1×	20 0.2×	51 0.6×	159 1.9×	25	580
Eva Schirmer	426 0.9×	208 2.3×	54 0.6×	36 0.4×	52 0.6×	15	668
Carina M. C. Lobley	412 0.8×	54 0.6×	30 0.3×	153 1.8×	46 0.6×	16	589

Countries citing papers authored by Chudi Guan

Since Specialization

Citations

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

Fields of papers citing papers by Chudi Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chudi Guan

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