Yu‐Nan Ma

17 total papers · 618 total citations
14 papers, 440 citations indexed

About

Yu‐Nan Ma is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Yu‐Nan Ma has authored 14 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Food Science and 4 papers in Molecular Biology. Recurrent topics in Yu‐Nan Ma's work include Essential Oils and Antimicrobial Activity (6 papers), Protist diversity and phylogeny (3 papers) and Microbial Community Ecology and Physiology (3 papers). Yu‐Nan Ma is often cited by papers focused on Essential Oils and Antimicrobial Activity (6 papers), Protist diversity and phylogeny (3 papers) and Microbial Community Ecology and Physiology (3 papers). Yu‐Nan Ma collaborates with scholars based in China. Yu‐Nan Ma's co-authors include Xian Dong, Yong‐Xian Cheng, Furong Xu, Changhong Liu, Yarong Xue, Muhammad Zain Ul Arifeen, Keming Li, Yong Song, Jun‐Yan Liu and Ren Xiang Tan and has published in prestigious journals such as Chemosphere, Molecules and Frontiers in Plant Science.

In The Last Decade

Yu‐Nan Ma

14 papers receiving 429 citations

Author Peers

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

Author Last Decade Papers Cites
Yu‐Nan Ma 223 136 108 98 87 14 440
Manila Yadav 209 0.9× 89 0.7× 112 1.0× 125 1.3× 57 0.7× 9 430
Jules Désiré Djoukeng 175 0.8× 199 1.5× 88 0.8× 37 0.4× 56 0.6× 10 416
John A. Lansden 268 1.2× 97 0.7× 53 0.5× 58 0.6× 54 0.6× 15 419
Parijat Kusari 185 0.8× 158 1.2× 37 0.3× 251 2.6× 127 1.5× 12 494
Fernanda O. Chagas 187 0.8× 147 1.1× 25 0.2× 166 1.7× 69 0.8× 20 431
Margarida Matos de Mendonça 279 1.3× 92 0.7× 59 0.5× 177 1.8× 41 0.5× 16 478
Patricia Lappe-Oliveras 204 0.9× 109 0.8× 220 2.0× 79 0.8× 96 1.1× 21 482
Xin Zhai 223 1.0× 163 1.2× 30 0.3× 140 1.4× 94 1.1× 15 388
S. B. Chang 304 1.4× 153 1.1× 63 0.6× 39 0.4× 31 0.4× 10 493
Chinnasamy Muthukumar 116 0.5× 161 1.2× 48 0.4× 121 1.2× 25 0.3× 11 380

Countries citing papers authored by Yu‐Nan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Nan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Nan Ma. 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 Yu‐Nan Ma. The network helps show where Yu‐Nan Ma may publish in the future.

Co-authorship network of co-authors of Yu‐Nan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Nan Ma. A scholar is included among the top collaborators of Yu‐Nan Ma 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 Yu‐Nan Ma. Yu‐Nan Ma 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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2026