Ningning Shi

604 citations
45 papers · 432 · h-index 11

Impact in

Papers in

Ningning Shi

42 papers receiving 424 citations

Peers

Ningning Shi
Comparison fields: 5 of 91
  • Biotechnology 61
  • Nutrition and Dietetics 42
  • Filtration and Separation 6
  • Computer Vision and Pattern Recognition 58
  • Molecular Biology 174
Replace Tuhin Subhra Sarkar with:
Tuhin Subhra Sarkar India
Ronald P. Haff United States
Mingxuan Yang China
Fuqiang Yu China
Daniel Aguayo Chile
Shin Kasahara Japan
Lei Chi China
M. Álvaro Berbís Spain
Martin Howarth United Kingdom
Xin Du China
Ningning Shi relative to Tuhin Subhra Sarkar India Tuhin Subhra Sarkar's profile →
Citations per field
00.5×5.3×
Tuhin Subhra Sarkar · 1×
Citations per year

Countries citing papers authored by Ningning Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ningning Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202258
2 200845
3 202136
4 200934
5 202232
6 202329
7 201626
8 201421
9 202216
10 201515
11 202214
12
Therapeutic efficacy of the combined extract of herbal medicine against infectious bursal disease in chickens.
201310
13 20177
14 20127
15 20227
16 20226
17 20216
18 20216
19 20225
20 20225

About Ningning Shi

Ningning Shi is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Mechanical Engineering, Genetics and Immunology, having authored 45 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (7 papers), Optical measurement and interference techniques (5 papers), Animal Genetics and Reproduction (5 papers), RNA and protein synthesis mechanisms (5 papers), Biopolymer Synthesis and Applications (3 papers), Sensor Technology and Measurement Systems (3 papers), Natural product bioactivities and synthesis (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biotechnology (61 citations), Nutrition and Dietetics (42 citations), Filtration and Separation (6 citations), Computer Vision and Pattern Recognition (58 citations) and Molecular Biology (174 citations). Ningning Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinghui Li, Jun Yao, Pingkai Ouyang, Hong Xu, Sha Li, Junhao Zhu, Yuan Liu, Dongjie Zhang, Qun Wu and Yaqi Zhang. Their work appears in journals such as Sensors, Applied Microbiology and Biotechnology, Gene, Advanced Biology and Frontiers in Microbiology.

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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