Teng Ma

32 total papers · 2.5k total citations
24 papers, 1.0k citations indexed

About

Teng Ma is a scholar working on Molecular Biology, Food Science and Physiology. According to data from OpenAlex, Teng Ma has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Food Science and 6 papers in Physiology. Recurrent topics in Teng Ma's work include Gut microbiota and health (20 papers), Probiotics and Fermented Foods (14 papers) and Diet and metabolism studies (5 papers). Teng Ma is often cited by papers focused on Gut microbiota and health (20 papers), Probiotics and Fermented Foods (14 papers) and Diet and metabolism studies (5 papers). Teng Ma collaborates with scholars based in China, Italy and Malaysia. Teng Ma's co-authors include Zhihong Sun, Lai‐Yu Kwok, Hao Jin, Heping Zhang, Yalin Li, Heping Zhang, Xin Shen, Feiyan Zhao, Keyu Quan and Shukun Zhang and has published in prestigious journals such as Nature Communications, Trends in Food Science & Technology and Applied Microbiology and Biotechnology.

In The Last Decade

Teng Ma

24 papers receiving 1.0k citations

Hit Papers

Targeting gut microbiota ... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Teng Ma 731 327 229 166 99 24 1.0k
Petra Hermanová 639 0.9× 159 0.5× 239 1.0× 148 0.9× 94 0.9× 25 1.0k
Kiuk Lee 662 0.9× 277 0.8× 225 1.0× 154 0.9× 54 0.5× 23 1.0k
Claire Cherbuy 631 0.9× 213 0.7× 264 1.2× 166 1.0× 70 0.7× 29 1.1k
Livia Alm 745 1.0× 372 1.1× 285 1.2× 191 1.2× 89 0.9× 17 1.1k
Kaisa Hiippala 787 1.1× 203 0.6× 245 1.1× 127 0.8× 89 0.9× 14 1.0k
Lee-Ching Lew 789 1.1× 495 1.5× 278 1.2× 180 1.1× 70 0.7× 28 1.2k
Joan Vermeiren 692 0.9× 257 0.8× 306 1.3× 252 1.5× 91 0.9× 20 1.1k
Sharon Y. Geerlings 807 1.1× 365 1.1× 233 1.0× 201 1.2× 67 0.7× 9 1.1k
Marie Joncquel-Chevalier Curt 819 1.1× 225 0.7× 204 0.9× 144 0.9× 83 0.8× 32 1.2k
Van T. Pham 678 0.9× 256 0.8× 212 0.9× 309 1.9× 93 0.9× 16 974

Countries citing papers authored by Teng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Teng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Ma

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