Guanghan Wu

31 total papers · 945 total citations
20 papers, 781 citations indexed

About

Guanghan Wu is a scholar working on Molecular Biology, Surgery and Virology. According to data from OpenAlex, Guanghan Wu has authored 20 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Virology. Recurrent topics in Guanghan Wu's work include Anesthesia and Pain Management (4 papers), Chemical Synthesis and Analysis (4 papers) and Collagen: Extraction and Characterization (4 papers). Guanghan Wu is often cited by papers focused on Anesthesia and Pain Management (4 papers), Chemical Synthesis and Analysis (4 papers) and Collagen: Extraction and Characterization (4 papers). Guanghan Wu collaborates with scholars based in United States, China and Japan. Guanghan Wu's co-authors include Charles F. Mactutus, Rosemarie M. Booze, Ulla Hasselrot, Keiichi Noguchi, Kenji Okuyama, Chizuru Hongo, Avindra Nath, Carol Anderson, Michael Y. Aksenov and Jayakrishna Ambati and has published in prestigious journals such as Brain Research, Frontiers in Immunology and Transplantation.

In The Last Decade

Guanghan Wu

20 papers receiving 770 citations

Author Peers

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

Author						Papers	Cites
Guanghan Wu	325	267	175	162	112	20	781
Sudheesh Pilakka‐Kanthikeel	290 0.9×	294 1.1×	125 0.7×	121 0.7×	90 0.8×	24	791
Zainulabedin Saiyed	258 0.8×	326 1.2×	49 0.3×	123 0.8×	47 0.4×	26	838
Erick T. Tatro	361 1.1×	165 0.6×	33 0.2×	48 0.3×	32 0.3×	17	697
Li Wu	159 0.5×	181 0.7×	27 0.2×	238 1.5×	88 0.8×	16	632
Benjamin G. Lamberty	318 1.0×	238 0.9×	29 0.2×	108 0.7×	26 0.2×	28	689
Gang Zhang	228 0.7×	167 0.6×	87 0.5×	105 0.6×	28 0.3×	18	652
Seth M. Dever	377 1.2×	286 1.1×	26 0.1×	159 1.0×	138 1.2×	27	812
Linxia Zhang	320 1.0×	57 0.2×	34 0.2×	56 0.3×	134 1.2×	29	759
Enquan Xu	278 0.9×	39 0.1×	35 0.2×	149 0.9×	95 0.8×	24	842
Francesca Paoletti	280 0.9×	62 0.2×	26 0.1×	79 0.5×	357 3.2×	40	848

Countries citing papers authored by Guanghan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Guanghan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghan Wu

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