Chao‐Peng Shao

70 total papers · 824 total citations
34 papers, 462 citations indexed

About

Chao‐Peng Shao is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, Chao‐Peng Shao has authored 34 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 13 papers in Physiology and 12 papers in Genetics. Recurrent topics in Chao‐Peng Shao's work include Blood groups and transfusion (22 papers), Erythrocyte Function and Pathophysiology (13 papers) and Blood disorders and treatments (10 papers). Chao‐Peng Shao is often cited by papers focused on Blood groups and transfusion (22 papers), Erythrocyte Function and Pathophysiology (13 papers) and Blood disorders and treatments (10 papers). Chao‐Peng Shao collaborates with scholars based in China, Germany and Austria. Chao‐Peng Shao's co-authors include Tobias J. Legler, Makoto Uchikawa, Günther F. Körmöczi, Christoph Gassner, Wen Xiong, Simon Panzer, Paul Perco, Wolfgang R. Mayr, Baocheng Yang and Jianan He and has published in prestigious journals such as Journal of Cellular and Molecular Medicine, Transfusion and Journal of Translational Medicine.

In The Last Decade

Chao‐Peng Shao

31 papers receiving 450 citations

Author Peers

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

Author						Papers	Cites
Chao‐Peng Shao	340	290	117	79	62	34	462
Kazumi Isa	374 1.1×	230 0.8×	96 0.8×	134 1.7×	50 0.8×	38	480
D. W. M. Schwartz	199 0.6×	92 0.3×	77 0.7×	74 0.9×	96 1.5×	37	511
Juri Alessandro Giannotta	372 1.1×	233 0.8×	101 0.9×	153 1.9×	52 0.8×	46	544
T. Seno	256 0.8×	191 0.7×	78 0.7×	62 0.8×	134 2.2×	25	413
Francesca Guia Imperiali	245 0.7×	196 0.7×	78 0.7×	155 2.0×	61 1.0×	21	485
Monique Silvy	206 0.6×	164 0.6×	80 0.7×	85 1.1×	132 2.1×	30	514
Wolfgang Helmberg	225 0.7×	103 0.4×	97 0.8×	37 0.5×	82 1.3×	35	498
M. E. Reid	337 1.0×	291 1.0×	94 0.8×	69 0.9×	88 1.4×	29	432
Britt Thuresson	276 0.8×	197 0.7×	55 0.5×	68 0.9×	102 1.6×	23	413
Robert A. Dunstan	268 0.8×	72 0.2×	75 0.6×	87 1.1×	40 0.6×	22	473

Countries citing papers authored by Chao‐Peng Shao

Since Specialization

Citations

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

Fields of papers citing papers by Chao‐Peng Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Peng Shao. 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 Chao‐Peng Shao. The network helps show where Chao‐Peng Shao may publish in the future.

Co-authorship network of co-authors of Chao‐Peng Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Peng Shao. A scholar is included among the top collaborators of Chao‐Peng Shao 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 Chao‐Peng Shao. Chao‐Peng Shao 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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