Ning Ma

77 papers receiving 3.2k citations

Ning Ma's Hit Papers

From probiotics to postbiotics: Concepts and applications 2023 · 78 citations
780+1+2Years since publication255075

Peers

Ning Ma
Comparison fields: 5 of 136
  • Biological Psychiatry 196
  • Animal Science and Zoology 298
  • Molecular Biology 1.6k
  • Food Science 367
  • Gastroenterology 99
Replace Ting He with:
Ting He China
Guoqiang Zhu China
Na-Ri Shin South Korea
Dandan Han China
Kang Xu China
Kirsty Brown Canada
Jinping Deng China
Rana Al–Sadi United States
Gianenrico Rizzatti Italy
Shuhong Guo United States
Ning Ma relative to Ting He China Ting He's profile →
Citations per field
00.5×3.4×
Ting He · 1×
Citations per year

Countries citing papers authored by Ning Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019243
2 2009237
3 2018209
4 2018207
5 2017194
6 2018148
7 2020133
8 2018129
9 2019128
10 2021125
11 2020121
12 202295
13 201985
14 201885
15
From probiotics to postbiotics: Concepts and applications
Hit paper breakdown →
202378
16 200577
17 201966
18 201764
19 201957
20 202156

About Ning Ma

Ning Ma is a scholar working on Molecular Biology, Immunology, Physiology, Infectious Diseases and Epidemiology, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gut microbiota and health (16 papers), Animal Nutrition and Physiology (5 papers), Tryptophan and brain disorders (5 papers), Barrier Structure and Function Studies (4 papers), Antimicrobial Peptides and Activities (4 papers), Probiotics and Fermented Foods (4 papers), interferon and immune responses (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biological Psychiatry (196 citations), Animal Science and Zoology (298 citations), Molecular Biology (1.6k citations), Food Science (367 citations) and Gastroenterology (99 citations). Ning Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xi Ma, L. J. Johnston, Ting He, Yi Wu, Sung Woo Kim, Pingting Guo, Yanan Tian, Meige Sun, Peng Tan and David R. Soll. Their work appears in journals such as Critical Reviews in Food Science and Nutrition, Journal of Functional Foods, International Journal of Molecular Sciences, Journal of Nutrition and Science China Life Sciences.

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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