Tian Yang

1.2k total citations
28 papers, 179 citations indexed

About

Tian Yang is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Tian Yang has authored 28 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 8 papers in Obstetrics and Gynecology and 7 papers in Oncology. Recurrent topics in Tian Yang's work include Pregnancy and preeclampsia studies (5 papers), Maternal and fetal healthcare (5 papers) and Ectopic Pregnancy Diagnosis and Management (5 papers). Tian Yang is often cited by papers focused on Pregnancy and preeclampsia studies (5 papers), Maternal and fetal healthcare (5 papers) and Ectopic Pregnancy Diagnosis and Management (5 papers). Tian Yang collaborates with scholars based in China, Taiwan and United States. Tian Yang's co-authors include Na Li, Caixia Liu, Chong Qiao, Aizong Shen, Canhong Wen, Jishuang Yu, Jinmiao Lu, Zhitao Zhang, Ying Luo and Ning Sun and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Tian Yang

21 papers receiving 174 citations

Peers

Tian Yang
Comparison fields: 5 of 58
  • Pediatrics, Perinatology and Child Health 72
  • Obstetrics and Gynecology 58
  • Infectious Diseases 37
  • Oncology 29
  • Public Health, Environmental and Occupational Health 26
Replace Jianhua Chi with:
Jianhua Chi China
Jaclyn M. Phillips United States
Céline Desconclois France
Johnatan Torres‐Torres Mexico
Ling Ma China
Constantin Aschauer Austria
Maram Abdaljaleel Jordan
Lauren M. Quinn United Kingdom
Wen Xie China
Patricia Rekawek United States
Jianhua Chi China View profile →
Citations per field, relative to Tian Yang
Tian Yang · 1×
Citations per year, relative to Tian Yang
Tian Yang · 1×

Countries citing papers authored by Tian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Yang. A scholar is included among the top collaborators of Tian Yang 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 Tian Yang. Tian Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 6
4 1
5 2
6 0
7 0
8 0
9 1
10 3
11 5
12 27
13 0
14 3
15 43
16 7
17 4
18 9
19 7
20 2

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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