Ya Ni

1.4k citations
47 papers · 1.1k · h-index 18

Impact in

    • Sperm and Testicular Function
    • Ovarian function and disorders
  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species

Papers in

Ya Ni

45 papers receiving 1.1k citations

Peers

Ya Ni
Comparison fields: 5 of 95
  • Reproductive Medicine 458
  • Physiology 57
  • Public Health, Environmental and Occupational Health 319
  • Pulmonary and Respiratory Medicine 226
  • Genetics 163
Replace Friedemann Loos with:
Friedemann Loos France
Masashi Nagano Japan
Mary Familari Australia
Simone J. Stanger Australia
Xuemei Wu China
Mónica H. Vazquez‐Levin Argentina
Christine Légaré Canada
Sabine Kölle Germany
Pramod Dhakal United States
Ya Ni relative to Friedemann Loos France Friedemann Loos's profile →
Citations per field
00.5×2×2.9×
Friedemann Loos · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007180
2 2011158
3 200875
4 200970
5 200666
6 199664
7 201457
8 199242
9 201341
10 202140
11 200924
12 200524
13 200923
14 202022
15 200517
16 201917
17 201817
18 202317
19 201216
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 Epidemiology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sperm and Testicular Function (21 papers), Reproductive Biology and Fertility (10 papers), Cystic Fibrosis Research Advances (8 papers), Heat shock proteins research (4 papers), Ovarian function and disorders (3 papers), Biomedical Research and Pathophysiology (2 papers), Hepatitis B Virus Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Reproductive Medicine (458 citations), Physiology (57 citations), Public Health, Environmental and Occupational Health (319 citations), Pulmonary and Respiratory Medicine (226 citations) and Genetics (163 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, Hsiao Chang Chan, Wenming Xu, Yu Yuan and Wen Ying Chen. Their work appears in journals such as Human Reproduction, Andrologia, Journal of Andrology, Reproductive Biology and Endocrinology and Advances in experimental medicine and biology.

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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