Nikki P.Y. Lee

2.9k citations
34 papers · 2.4k · h-index 26

Impact in

Papers in

Nikki P.Y. Lee

34 papers receiving 2.3k citations

Peers

Nikki P.Y. Lee
Comparison fields: 5 of 105
  • Reproductive Medicine 867
  • Cell Biology 487
  • Cancer Research 374
  • Molecular Biology 1.2k
  • Hepatology 119
Replace Alessandro Cama with:
Alessandro Cama Italy
Tao Huang China
Elisabeth Hustert Germany
Hua Jiang China
Julia T. Arnold United States
Winnie Eskild Norway
Yasuhiro Mitsuuchi United States
Dany Chalbos France
Judit Pallarés Spain
Nikki P.Y. Lee relative to Alessandro Cama Italy Alessandro Cama's profile →
Citations per field
00.5×7.9×
Alessandro Cama · 1×
Citations per year

Countries citing papers authored by Nikki P.Y. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Nikki P.Y. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikki P.Y. Lee. 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 Nikki P.Y. Lee. The network helps show where Nikki P.Y. Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009423
2 2010165
3 2003142
4 2005111
5 2009107
6 2004104
7 2003104
8 200594
9 200483
10 201781
11 200380
12 200576
13 200472
14 200666
15 200561
16 200452
17 200348
18 200647
19 200547
20 200744

About Nikki P.Y. Lee

Nikki P.Y. Lee is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sperm and Testicular Function (18 papers), Reproductive Biology and Fertility (10 papers), Hormonal and reproductive studies (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), MicroRNA in disease regulation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Reproductive Medicine (867 citations), Cell Biology (487 citations), Cancer Research (374 citations), Molecular Biology (1.2k citations) and Hepatology (119 citations). Nikki P.Y. Lee has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include C. Yan Cheng, Dolores D. Mruk, John M. Luk, Irene Oi‐Lin Ng, Ching-hang Wong, Zhi Xu, Scott W. Lowe, Ronnie T.P. Poon, Y W Chan and Tzy‐Jyun Yao. Their work appears in journals such as Biology of Reproduction, Endocrinology, Journal of Cellular Physiology, Journal of Andrology and Liver International.

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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