Ya Ni

1.4k citations
45 papers · 1.0k · h-index 16

Impact in

Papers in

Ya Ni

43 papers receiving 987 citations

Peers

Ya Ni
Comparison fields: 5 of 89
  • Reproductive Medicine 475
  • Physiology 54
  • Public Health, Environmental and Occupational Health 335
  • Pulmonary and Respiratory Medicine 215
  • Genetics 158
Replace Simone J. Stanger with:
Simone J. Stanger Australia
Masashi Nagano Japan
Mónica H. Vazquez‐Levin Argentina
Sheng‐Hsiang Li Taiwan
Hongying Peng China
Michael J. Wolkowicz United States
Christine Légaré Canada
Sabine Kölle Germany
Edward Sendler United States
Ya Ni relative to Simone J. Stanger Australia Simone J. Stanger's profile →
Citations per field
00.5×
Simone J. Stanger · 1×
Citations per year

Countries citing papers authored by Ya Ni

Since Specialization
Citations

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

Fields of papers citing papers by Ya Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007168
2 2011136
3 200870
4 200967
5 200662
6 199661
7 201454
8 201340
9 202139
10 200924
11 200524
12 200920
13 202019
14 199219
15 200517
16 201816
17 201215
18 201315
19 201915
20 201115

About Ya Ni

Ya Ni is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sperm and Testicular Function (24 papers), Reproductive Biology and Fertility (15 papers), Ovarian function and disorders (7 papers), Cystic Fibrosis Research Advances (7 papers), Heat shock proteins research (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Neonatal Respiratory Health Research (3 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Reproductive Medicine (475 citations), Physiology (54 citations), Public Health, Environmental and Occupational Health (335 citations), Pulmonary and Respiratory Medicine (215 citations) and Genetics (158 citations). Ya Ni has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianmin Yu, Zhongxiang Li, Zhanghui Chen, Kun Li, Ian R. Tizard, Qi Shi, Wenming Xu, Yu Yuan, Wen Ying Chen and Qi‐Xian Shi. Their work appears in journals such as Human Reproduction, Reproductive Biology and Endocrinology, Biology of Reproduction, Andrologia and AIDS Research and Human Retroviruses.

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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