Xinyun Yang

47 papers receiving 723 citations

Peers

Xinyun Yang
Comparison fields: 5 of 108
  • Obstetrics and Gynecology 45
  • Reproductive Medicine 45
  • Building and Construction 68
  • Biological Psychiatry 11
  • Family Practice 8
Replace Hongli Lin with:
Hongli Lin China
Juan‐Juan Qin China
Yuichiro Nagai Japan
Hua Liu China
Min Fu China
Dongyu Zhang United States
Yihua Yang China
Xu Han China
Akihiko Suzuki Japan
Xinyun Yang relative to Hongli Lin China Hongli Lin's profile →
Citations per field
00.5×6.4×
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Citations per year

Countries citing papers authored by Xinyun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xinyun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xinyun Yang, 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 Xinyun Yang Line = papers co-authored together Xinyun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018104
2 201168
3
KAI1 protein is down-regulated during the progression of human breast cancer.
200060
4 201454
5 201737
6 202237
7 201332
8 201932
9 202030
10 201426
11 201924
12 201822
13 202117
14
[Study on expression of Ki-67, early apoptotic protein M30 in endometrial carcinoma and their correlation with prognosis].
200316
15 201513
16 201912
17 201512
18 201812
19 202111
20 202010

About Xinyun Yang

Xinyun Yang is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Oncology, having authored 50 papers that have together received 734 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Birth, Development, and Health (5 papers), Gynecological conditions and treatments (4 papers), Ectopic Pregnancy Diagnosis and Management (3 papers), Lung Cancer Research Studies (3 papers), Brain Metastases and Treatment (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Obstetrics and Gynecology (45 citations), Reproductive Medicine (45 citations), Building and Construction (68 citations), Biological Psychiatry (11 citations) and Family Practice (8 citations). Xinyun Yang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xu Chen, Xiaoli Dai, Kangji Li, Wenping Xue, Fan Jin, Zhenzhong Ma, Baomin Chen, Elizabeth A. Montgomery, Catherine Tang and Lisa L. Wei. Their work appears in journals such as Journal of Minimally Invasive Gynecology, Fertility and Sterility, Reproductive Toxicology, Reproductive Sciences and Current Microbiology.

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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