Yu Ni

721 citations
37 papers · 495 · h-index 13

Impact in

Papers in

Yu Ni

34 papers receiving 490 citations

Peers

Yu Ni
Comparison fields: 5 of 88
  • Health, Toxicology and Mutagenesis 236
  • Speech and Hearing 23
  • Pollution 42
  • Pediatrics, Perinatology and Child Health 39
  • Ophthalmology 18
Replace Haiping Zhao with:
Haiping Zhao China
Won-Jun Choi South Korea
L J Pei China
Dankang Li China
Guadalupe Aguilar‐Madrid Mexico
Eline B. Provost Belgium
Fanny Rancière France
Mo Kyung Jung South Korea
Fabienne Pelé France
Yu Ni relative to Haiping Zhao China Haiping Zhao's profile →
Citations per field
00.5×3.6×
Haiping Zhao · 1×
Citations per year

Countries citing papers authored by Yu Ni

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201573
2 201945
3 201944
4 202240
5 202137
6 201733
7 201725
8 202224
9 202124
10 202122
11 201616
12 202116
13 202314
14 202411
15 202110
16 20228
17 20227
18 20226
19 20256
20 20235

About Yu Ni

Yu Ni is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Pediatrics, Perinatology and Child Health, Speech and Hearing and Agronomy and Crop Science, having authored 37 papers that have together received 495 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (12 papers), Climate Change and Health Impacts (5 papers), Noise Effects and Management (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Infant Development and Preterm Care (2 papers), Toxic Organic Pollutants Impact (2 papers), Birth, Development, and Health (2 papers) and Ophthalmology and Visual Impairment Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (236 citations), Speech and Hearing (23 citations), Pollution (42 citations), Pediatrics, Perinatology and Child Health (39 citations) and Ophthalmology (18 citations). Yu Ni has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Adam A. Szpiro, Christine T. Loftus, Kaja Z. LeWinn, Catherine J. Karr, Nicole R. Bush, Sheela Sathyanarayana, Andrew Stokes, Frances A. Tylavsky, Marnie F. Hazlehurst and Dongwei Fan. Their work appears in journals such as Environmental Research, Environment International, International Journal of Hygiene and Environmental Health, BMC Genomics and Environmental Health Perspectives.

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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