Yiling Nie

23 papers receiving 1.1k citations

Peers

Yiling Nie
Comparison fields: 5 of 87
  • Sensory Systems 168
  • Surfaces, Coatings and Films 184
  • Nutrition and Dietetics 244
  • Water Science and Technology 180
  • Biomaterials 112
Replace Ryoji Kurita with:
Ryoji Kurita Japan
Thomas Aberle Germany
Peter Proctor United States
P.R. Crippa Italy
Xueling Wang China
Moon Young Yang United States
James M. Gallas United States
Serban F. Peteu United States
Christy L. Cooper United States
Yiling Nie relative to Ryoji Kurita Japan Ryoji Kurita's profile →
Citations per field
00.5×11.2×
Ryoji Kurita · 1×
Citations per year

Countries citing papers authored by Yiling Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yiling Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005259
2 2021124
3 2022113
4 201095
5 202072
6 200646
7 200743
8 202141
9 200840
10 202234
11 202032
12 201031
13 202230
14 201130
15 202226
16 202224
17 200920
18 200917
19 201117
20 202211

About Yiling Nie

Yiling Nie is a scholar working on Molecular Biology, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Biomaterials and Genetics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (6 papers), Protein Structure and Dynamics (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Advanced Memory and Neural Computing (4 papers), Bacterial Genetics and Biotechnology (4 papers), Membrane Separation Technologies (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Sensory Systems (168 citations), Surfaces, Coatings and Films (184 citations), Nutrition and Dietetics (244 citations), Water Science and Technology (180 citations) and Biomaterials (112 citations). Yiling Nie has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include H. Ronald Kaback, Jeanette R. Hobbs, Graeme L. Conn, Steven D. Munger, Stéphan Vigues, Yonggang Zhou, Liyun Zhang, Vladimir N. Kasho, И. Н. Смирнова and Lan Ma. Their work appears in journals such as Journal of Molecular Biology, Applied Physics Letters, Biochemistry, Journal of Biological Chemistry and Journal of Materials Chemistry A.

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.

Explore authors with similar magnitude of impact