Ningning He

2.5k citations
94 papers · 2.0k · h-index 24

Impact in

Papers in

    • Gut microbiota and health 25
    • RNA modifications and cancer 5
    • Machine Learning in Bioinformatics 5
    • MicroRNA in disease regulation 5

Ningning He

88 papers receiving 1.9k citations

Peers

Ningning He
Comparison fields: 5 of 139
  • Aquatic Science 148
  • Pharmaceutical Science 89
  • Molecular Biology 954
  • Cancer Research 174
  • Biotechnology 98
Replace Myeong‐Sok Lee with:
Myeong‐Sok Lee South Korea
Kehai Liu China
Chandrasekharan Guruvayoorappan India
Shanshan Zhang China
Chenyang Zhao China
Xiaobin Jia China
Yanna Cheng China
Kati Erdmann Germany
Zhi‐Qi Yin China
Caifang Gao China
Ningning He relative to Myeong‐Sok Lee South Korea Myeong‐Sok Lee's profile →
Citations per field
00.5×2×2.6×
Myeong‐Sok Lee · 1×
Citations per year

Countries citing papers authored by Ningning He

Since Specialization
Citations

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

Fields of papers citing papers by Ningning He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022174
2 202099
3 201793
4 201888
5 202387
6 201886
7 202083
8 201967
9 202161
10 202058
11 201849
12 202243
13 202243
14 200040
15 202039
16 201538
17 202336
18 202133
19 202132
20 202028

About Ningning He

Ningning He is a scholar working on Molecular Biology, Cancer Research, Physiology, Gastroenterology and Food Science, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gut microbiota and health (25 papers), Diet and metabolism studies (10 papers), Probiotics and Fermented Foods (7 papers), RNA modifications and cancer (5 papers), Laser-Ablation Synthesis of Nanoparticles (5 papers), Machine Learning in Bioinformatics (5 papers), Inflammatory Bowel Disease (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Aquatic Science (148 citations), Pharmaceutical Science (89 citations), Molecular Biology (954 citations), Cancer Research (174 citations) and Biotechnology (98 citations). Ningning He has collaborated with scholars based in China, South Korea and Botswana. Frequent co-authors include Shangyong Li, Shangyong Li, Linna Wang, Zhen Chen, Lei Li, Samil Jung, Myeong‐Sok Lee, Kaiwei Chen, Mengfei Jin and Shuo Wang. Their work appears in journals such as Food & Function, Journal of Agricultural and Food Chemistry, Journal of Functional Foods, Drug Delivery and Advanced Science.

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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