Wu Shangchun

18 total papers · 855 total citations
11 papers, 608 citations indexed

About

Wu Shangchun is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wu Shangchun has authored 11 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wu Shangchun's work include Reproductive Health and Contraception (7 papers), Ectopic Pregnancy Diagnosis and Management (4 papers) and Maternal and fetal healthcare (3 papers). Wu Shangchun is often cited by papers focused on Reproductive Health and Contraception (7 papers), Ectopic Pregnancy Diagnosis and Management (4 papers) and Maternal and fetal healthcare (3 papers). Wu Shangchun collaborates with scholars based in China, Hungary and Belgium. Wu Shangchun's co-authors include Alexandre Peregoudov, A. Pretnar‐Darovec, Kristina Gemzell‐Danielsson, Junling Chen, Si Young Song, Rosemary Kirkman, Gilda Piaggio, György Bártfai, Frank Lüdicke and Suneeta Mittal and has published in prestigious journals such as The Lancet, Contraception and Journal of obstetrics and gynaecology research.

In The Last Decade

Wu Shangchun

11 papers receiving 526 citations

Author Peers

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

Author						Papers	Cites
Wu Shangchun	563	299	163	136	104	11	608
Dalia Brahmi	503 0.9×	319 1.1×	223 1.4×	96 0.7×	103 1.0×	21	581
Nádia Maria Marchi	345 0.6×	149 0.5×	107 0.7×	115 0.8×	145 1.4×	25	516
Katherine D. LaGuardia	397 0.7×	206 0.7×	135 0.8×	146 1.1×	98 0.9×	22	664
Anne Foster-Rosales	370 0.7×	259 0.9×	148 0.9×	75 0.6×	145 1.4×	12	510
Linda Prine	528 0.9×	278 0.9×	253 1.6×	132 1.0×	67 0.6×	32	595
Verónica Reyes	390 0.7×	187 0.6×	150 0.9×	126 0.9×	40 0.4×	10	499
Delphine Lévy	564 1.0×	313 1.0×	167 1.0×	247 1.8×	57 0.5×	16	673
Ron G. Frezieres	413 0.7×	187 0.6×	103 0.6×	120 0.9×	257 2.5×	26	677
Carlos E.R. Mattos	503 0.9×	177 0.6×	180 1.1×	285 2.1×	53 0.5×	16	674
Miriam Zieman	444 0.8×	205 0.7×	151 0.9×	137 1.0×	86 0.8×	9	563

Countries citing papers authored by Wu Shangchun

Since Specialization

Citations

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

Fields of papers citing papers by Wu Shangchun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Shangchun

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