Ni Yan

5.0k citations
85 papers · 3.7k · h-index 34

Impact in

Papers in

Ni Yan

80 papers receiving 3.6k citations

Peers

Ni Yan
Comparison fields: 5 of 138
  • Environmental Chemistry 790
  • Water Science and Technology 647
  • Health, Toxicology and Mutagenesis 585
  • Cellular and Molecular Neuroscience 547
  • Aging 41
Replace Xiaodan Yu with:
Xiaodan Yu China
Yi Zhang China
Toshiyuki Hosokawa Japan
Xiao He China
Zhihui Yang China
Jinwei Zhang China
Takeshi Yamada Japan
Devendra Kumar Patel India
Thomas E. Jensen Denmark
Eduardo Pásaro Spain
Ni Yan relative to Xiaodan Yu China Xiaodan Yu's profile →
Citations per field
00.5×5.9×
Xiaodan Yu · 1×
Citations per year

Countries citing papers authored by Ni Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ni Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997392
2 2006251
3 2018208
4 2011188
5 2018181
6 2010167
7 1997157
8 1999137
9 2015125
10 201992
11 202091
12 200388
13 200182
14 199982
15 201368
16 202266
17 201565
18 202063
19 202160
20 202060

About Ni Yan

Ni Yan is a scholar working on Water Science and Technology, Biomedical Engineering, Health, Toxicology and Mutagenesis, Environmental Chemistry and Molecular Biology, having authored 85 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced oxidation water treatment (10 papers), Toxic Organic Pollutants Impact (10 papers), Per- and polyfluoroalkyl substances research (10 papers), Environmental remediation with nanomaterials (9 papers), Membrane-based Ion Separation Techniques (7 papers), Membrane Separation Technologies (7 papers), Receptor Mechanisms and Signaling (6 papers) and Fuel Cells and Related Materials (6 papers). The work is most often cited by research in Environmental Chemistry (790 citations), Water Science and Technology (647 citations), Health, Toxicology and Mutagenesis (585 citations), Cellular and Molecular Neuroscience (547 citations) and Aging (41 citations). Ni Yan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mark L. Brusseau, Stephen J. Gold, Eric J. Nestler, Ricardo Miledi, Henrik Dohlman, Ying Lyu, Yake Wang, Benny D. Freeman, Kenneth C. Carroll and Sarah Van Glubt. Their work appears in journals such as Water Research, Environmental Science & Technology, Journal of Neuroscience, Journal of Membrane Science and Polymer.

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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