Nina Zeng

51 total papers · 1.0k total citations
39 papers, 807 citations indexed

About

Nina Zeng is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Nina Zeng has authored 39 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Physiology and 12 papers in Cell Biology. Recurrent topics in Nina Zeng's work include Muscle metabolism and nutrition (11 papers), Nutrition and Health in Aging (7 papers) and MicroRNA in disease regulation (7 papers). Nina Zeng is often cited by papers focused on Muscle metabolism and nutrition (11 papers), Nutrition and Health in Aging (7 papers) and MicroRNA in disease regulation (7 papers). Nina Zeng collaborates with scholars based in New Zealand, Canada and United States. Nina Zeng's co-authors include Cameron J. Mitchell, David Cameron‐Smith, Randall F. D’Souza, James F. Markworth, Sarah M. Mitchell, Farha Ramzan, Troy L. Merry, Jonathan S. T. Woodhead, Sally D. Poppitt and Amber M. Milan and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Nina Zeng

37 papers receiving 801 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Zeng 407 319 212 166 102 39 807
Fanchao Yi 388 1.0× 430 1.3× 105 0.5× 143 0.9× 101 1.0× 40 952
Bradley Elliott 390 1.0× 441 1.4× 227 1.1× 54 0.3× 83 0.8× 41 1.0k
William J. Smiles 543 1.3× 321 1.0× 174 0.8× 72 0.4× 129 1.3× 27 929
Jian Gao 537 1.3× 272 0.9× 140 0.7× 102 0.6× 131 1.3× 42 903
Jie Li 408 1.0× 189 0.6× 110 0.5× 85 0.5× 102 1.0× 51 1.0k
Marie‐Chantal Farges 285 0.7× 245 0.8× 114 0.5× 149 0.9× 48 0.5× 34 934
Yvonne Bodenburg 397 1.0× 172 0.5× 272 1.3× 70 0.4× 62 0.6× 17 913
Mary E. A. Howell 418 1.0× 329 1.0× 172 0.8× 41 0.2× 73 0.7× 24 789
Shan Lv 305 0.7× 459 1.4× 56 0.3× 100 0.6× 58 0.6× 46 876
Mariko Obayashi 467 1.1× 345 1.1× 235 1.1× 112 0.7× 48 0.5× 21 904

Countries citing papers authored by Nina Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Nina Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Zeng. A scholar is included among the top collaborators of Nina Zeng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Zeng. Nina Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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