Sangwook Wu

93 total papers · 811 total citations
52 papers, 502 citations indexed

About

Sangwook Wu is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Sangwook Wu has authored 52 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sangwook Wu's work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (7 papers) and RNA and protein synthesis mechanisms (5 papers). Sangwook Wu is often cited by papers focused on Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (7 papers) and RNA and protein synthesis mechanisms (5 papers). Sangwook Wu collaborates with scholars based in South Korea, United States and France. Sangwook Wu's co-authors include Lee G. Pedersen, Sun‐Gu Lee, Paulo C. T. Souza, Darrel W. Stafford, William A. Beard, Samuel H. Wilson, Pavel I. Zhuravlev, Da-Yun Jin, Jian‐Ke Tie and Xuejie Chen and has published in prestigious journals such as Chemical Reviews, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sangwook Wu

48 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
Sangwook Wu	237	104	64	52	50	52	502
C. Courseille	219 0.9×	178 1.7×	73 1.1×	164 3.2×	28 0.6×	52	567
Changsun Eun	282 1.2×	124 1.2×	69 1.1×	34 0.7×	23 0.5×	29	514
Andrea Antošová	275 1.2×	114 1.1×	15 0.2×	31 0.6×	51 1.0×	31	510
J Rybarska	313 1.3×	91 0.9×	24 0.4×	59 1.1×	40 0.8×	32	534
Davide Corinti	255 1.1×	92 0.9×	22 0.3×	114 2.2×	25 0.5×	46	560
Dawei Zhang	351 1.5×	125 1.2×	24 0.4×	77 1.5×	57 1.1×	33	493
Fen Du	369 1.6×	93 0.9×	22 0.3×	50 1.0×	8 0.2×	22	531
Thomas Olsson	210 0.9×	34 0.3×	34 0.5×	163 3.1×	15 0.3×	35	599
Amirhossein Mafi	259 1.1×	31 0.3×	19 0.3×	61 1.2×	14 0.3×	28	495
Olga Tcherkasskaya	406 1.7×	200 1.9×	28 0.4×	79 1.5×	14 0.3×	26	588

Countries citing papers authored by Sangwook Wu

Since Specialization

Citations

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

Fields of papers citing papers by Sangwook Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwook Wu

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