Xinwei Shi

45 total papers · 770 total citations
31 papers, 497 citations indexed

About

Xinwei Shi is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Xinwei Shi has authored 31 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Obstetrics and Gynecology, 12 papers in Pediatrics, Perinatology and Child Health and 10 papers in Molecular Biology. Recurrent topics in Xinwei Shi's work include Pregnancy and preeclampsia studies (12 papers), Birth, Development, and Health (6 papers) and Prenatal Screening and Diagnostics (5 papers). Xinwei Shi is often cited by papers focused on Pregnancy and preeclampsia studies (12 papers), Birth, Development, and Health (6 papers) and Prenatal Screening and Diagnostics (5 papers). Xinwei Shi collaborates with scholars based in China, Germany and United States. Xinwei Shi's co-authors include Yanhong Gong, Lei Qiu, Na Sun, Xiaoxv Yin, Nan Jiang, Yong Gan, Xing Xu, Jia Zhang, Chenhui Yang and Yuanyuan Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Psychology Review.

In The Last Decade

Xinwei Shi

29 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Xinwei Shi	226	163	148	100	84	31	497
Josefine Nasiell	168 0.7×	267 1.6×	265 1.8×	35 0.3×	72 0.9×	24	560
Kelvin Okoth	148 0.7×	221 1.4×	152 1.0×	30 0.3×	52 0.6×	23	595
Xinghua Shen	130 0.6×	274 1.7×	110 0.7×	47 0.5×	42 0.5×	25	578
J.J.H.M. Erwich	141 0.6×	133 0.8×	175 1.2×	41 0.4×	67 0.8×	19	468
Henrique Vítor Leite	85 0.4×	199 1.2×	297 2.0×	44 0.4×	51 0.6×	54	502
Federica Perelli	143 0.6×	275 1.7×	63 0.4×	86 0.9×	37 0.4×	35	589
Weijia Sun	110 0.5×	47 0.3×	57 0.4×	99 1.0×	53 0.6×	34	524
Stephanie Pierce	149 0.7×	197 1.2×	124 0.8×	112 1.1×	11 0.1×	34	535
Susan Richman	82 0.4×	157 1.0×	131 0.9×	44 0.4×	44 0.5×	24	540
Michela Quaranta	125 0.6×	284 1.7×	85 0.6×	34 0.3×	90 1.1×	42	617

Countries citing papers authored by Xinwei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xinwei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwei Shi

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