Mingming Shi

613 citations
14 papers · 395 · h-index 6

Impact in

    • RNA regulation and disease
    • Genomics and Phylogenetic Studies
    • Plant Gene Expression Analysis
    • RNA Research and Splicing
    • Plant biochemistry and biosynthesis
    • CRISPR and Genetic Engineering
    • Photosynthetic Processes and Mechanisms

Papers in

Mingming Shi

12 papers receiving 390 citations

Peers

Mingming Shi
Comparison fields: 5 of 78
  • Horticulture 7
  • Molecular Biology 249
  • Plant Science 105
  • Neurology 21
  • Geriatrics and Gerontology 8
Replace Won K. Kim with:
Won K. Kim Germany
Yafei Wang China
Barbara Pantera Italy
Carol M. Bourne United States
Anna‐Liisa Fabritius United States
Liliane Santana Oliveira Brazil
Qiqi Zhao China
Milana Fraiberg Israel
Mathieu Genête France
Philip A. I. Guthrie United Kingdom
Mingming Shi relative to Won K. Kim Germany Won K. Kim's profile →
Citations per field
00.5×2×3×4.2×
Won K. Kim · 1×
Citations per year

Countries citing papers authored by Mingming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018198
2 202378
3 201468
4 201228
5 20198
6 20226
7 20224
8
Changes in phenology in the Tibetan Plateau under climate change
20191
9 20211
10
The Development of Biological Soil Crusts and Its Soil Nutrients Characteristics of Microhabitats under Fenced and Grazed
20161
11 20221
12 20251
13 20250
14 20230

About Mingming Shi

Mingming Shi is a scholar working on Neurology, Plant Science, Nature and Landscape Conservation, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 395 indexed citations. Recurring topics across this work include Nematode management and characterization studies (3 papers), Parasite Biology and Host Interactions (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), CRISPR and Genetic Engineering (1 paper), Plant and Fungal Interactions Research (1 paper), Genomics and Phylogenetic Studies (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Horticulture (7 citations), Molecular Biology (249 citations), Plant Science (105 citations), Neurology (21 citations) and Geriatrics and Gerontology (8 citations). Mingming Shi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiayu Chen, Zhiqiang Ye, Chuan‐Yun Li, Xiuqin Zhang, Chu‐Jun Liu, Xinzhuang Yang, Rongli Zhang, Bertrand Chin‐Ming Tan, Huaying Fang and Zhiyu Peng. Their work appears in journals such as Plant Disease, Neuron, Flora, Nature Plants and Nucleic Acids Research.

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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