Xiaoting Shen

876 citations
39 papers · 637 · h-index 15

Impact in

Papers in

Xiaoting Shen

37 papers receiving 625 citations

Peers

Xiaoting Shen
Comparison fields: 5 of 71
  • Reproductive Medicine 150
  • Pediatrics, Perinatology and Child Health 227
  • Obstetrics and Gynecology 79
  • Health, Toxicology and Mutagenesis 130
  • Genetics 63
Replace Emi H. Kato with:
Emi H. Kato Japan
Takehiko Yasumizu Japan
Aleksandar Ljubić Serbia
Frédéric Debiève Belgium
Anna Maria Nuzzo Italy
Chung‐Hoon Kim South Korea
Tera R. Kent United States
Ramona M. Chapman United Kingdom
Xiaoli Sun China
John Ilekis United States
Xiaoting Shen relative to Emi H. Kato Japan Emi H. Kato's profile →
Citations per field
00.5×3.8×
Emi H. Kato · 1×
Citations per year

Countries citing papers authored by Xiaoting Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoting Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoting Shen Line = papers co-authored together Xiaoting Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201290
2 201975
3 201559
4 201242
5 202128
6 201328
7 202025
8 201125
9 201924
10 202023
11 201218
12 201817
13 202216
14 202215
15 201214
16 201513
17 202111
18 202410
19 201810
20 20239

About Xiaoting Shen

Xiaoting Shen is a scholar working on Pediatrics, Perinatology and Child Health, Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics and Obstetrics and Gynecology, having authored 39 papers that have together received 637 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (13 papers), Ovarian function and disorders (7 papers), Reproductive System and Pregnancy (6 papers), Reproductive Biology and Fertility (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Endometriosis Research and Treatment (5 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Reproductive Medicine (150 citations), Pediatrics, Perinatology and Child Health (227 citations), Obstetrics and Gynecology (79 citations), Health, Toxicology and Mutagenesis (130 citations) and Genetics (63 citations). Xiaoting Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanwen Xu, Ying Ying, Canquan Zhou, Chenhui Ding, Haitao Wu, Canquan Zhou, Qiong Wang, Li Jin, Cunrui Huang and Hai-Tao Wu. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, DNA and Cell Biology, Reproductive BioMedicine Online, Environment International and Cell Death Discovery.

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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