Zhongzhen Nie

3.0k citations
45 papers · 2.4k indexed · h-index 29
  • Physiology top 0.5%
    • Adenosine and Purinergic Signaling 9
    • Calcium signaling and nucleotide metabolism 5
    • Cellular transport and secretion 18
    • Cellular Mechanics and Interactions 7
    • Ion channel regulation and function 7
    • Protein Kinase Regulation and GTPase Signaling 5
    • Receptor Mechanisms and Signaling 5
    • Lipid Membrane Structure and Behavior 4

Zhongzhen Nie

45 papers receiving 2.3k citations

Peers

Zhongzhen Nie
Comparison fields: 5 of 101
  • Physiology 361
  • Cell Biology 1.1k
  • Immunology and Allergy 170
  • Molecular Biology 1.6k
  • Sensory Systems 73
Replace Edward K. Novak with:
Edward K. Novak United States
Sharon L. Milgram United States
Michele Sallese Italy
Adriano Marchese United States
Jaana Tyynelä Finland
Cecilia G. Unson United States
Masao Hiraiwa United States
Hye‐Won Shin Japan
Manojkumar A. Puthenveedu United States
Ben C. Tilly Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Zhongzhen Nie

Since Specialization
Citations

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

Fields of papers citing papers by Zhongzhen Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201448
2 201422
3 201133
4 200815
5 200852
6 200725
7 200678
8 200579
9 200371
10 200292
11 200229
12 199925
13 199919
14 199915
15 199930
16 1998109
17 199738
18 199566
19 199119
20 198715

About Zhongzhen Nie

Zhongzhen Nie is a scholar working on Physiology, Cell Biology and Immunology and Allergy, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Adenosine and Purinergic Signaling (9 papers), Cellular Mechanics and Interactions (7 papers), Ion channel regulation and function (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Calcium signaling and nucleotide metabolism (5 papers), Receptor Mechanisms and Signaling (5 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Physiology (361 citations), Cell Biology (1.1k citations) and Immunology and Allergy (170 citations). Zhongzhen Nie has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Paul A. Randazzo, Dianne S. Hirsch, Vickram Ramkumar, Victor W. Hsu, Koichi Miura, Leonard P. Rybak, Yehia Daaka, Mary Ford, Hiroki Inoue and Stacey Stauffer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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