Xiaoting Shen

896 citations
38 papers · 664 · h-index 15

Impact in

Papers in

Xiaoting Shen

37 papers receiving 649 citations

Peers

Xiaoting Shen
Comparison fields: 5 of 64
  • Reproductive Medicine 99
  • Pediatrics, Perinatology and Child Health 175
  • Health, Toxicology and Mutagenesis 129
  • Obstetrics and Gynecology 51
  • Genetics 45
Replace Takehiko Yasumizu with:
Takehiko Yasumizu Japan
Emi H. Kato Japan
Aleksandar Ljubić Serbia
Chung‐Hoon Kim South Korea
Anna Maria Nuzzo Italy
Sutchin R. Patel United States
M Lendon United Kingdom
Shuo Yang China
Caroline McCaffrey United States
Xiaoting Shen relative to Takehiko Yasumizu Japan Takehiko Yasumizu's profile →
Citations per field
00.5×10×15×18×
Takehiko Yasumizu · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 201978
3 201559
4 201243
5 201330
6 202129
7 202026
8 201125
9 201924
10 202023
11 201219
12 202217
13 201817
14 201216
15 202216
16 202414
17 202313
18 201513
19 202012
20 202111

About Xiaoting Shen

Xiaoting Shen is a scholar working on Pediatrics, Perinatology and Child Health, Reproductive Medicine, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Immunology, having authored 38 papers that have together received 664 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (10 papers), Ovarian function and disorders (7 papers), Reproductive System and Pregnancy (5 papers), Endometriosis Research and Treatment (4 papers), Reproductive Biology and Fertility (4 papers), Climate Change and Health Impacts (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Reproductive Medicine (99 citations), Pediatrics, Perinatology and Child Health (175 citations), Health, Toxicology and Mutagenesis (129 citations), Obstetrics and Gynecology (51 citations) and Genetics (45 citations). Xiaoting Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanwen Xu, Canquan Zhou, Ying Ying, Haitao Wu, Chenhui Ding, Canquan Zhou, Qiong Wang, Li Jin, Cunrui Huang and Jie Li. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Environment International, DNA and Cell Biology, Reproductive BioMedicine Online 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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