Min-Min Hua

1.6k total citations · 1 hit paper
11 papers, 1.0k citations indexed

About

Min-Min Hua is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Min-Min Hua has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Plant Science and 3 papers in Cancer Research. Recurrent topics in Min-Min Hua's work include RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and Chromosomal and Genetic Variations (3 papers). Min-Min Hua is often cited by papers focused on RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and Chromosomal and Genetic Variations (3 papers). Min-Min Hua collaborates with scholars based in China, United States and Australia. Min-Min Hua's co-authors include Mo‐Fang Liu, Nan Li, Hangping Yao, Feng Ma, Sheng Xu, Qian Zhang, Xiongfei Xu, Xuetao Cao, Xingguang Liu and Huijuan Shi and has published in prestigious journals such as Cell, Nature Communications and Molecular Cell.

In The Last Decade

Min-Min Hua

9 papers receiving 1.0k citations

Hit Papers

The microRNA miR-29 controls innate and adaptive immune r... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Min-Min Hua
Comparison fields: 5 of 91
  • Molecular Biology 681
  • Cancer Research 438
  • Immunology 230
  • Plant Science 163
  • Reproductive Medicine 132
Replace Sadie L. Marjani with:
Sadie L. Marjani United States
Barbara D′haene Belgium
Keiichiro Kizaki Japan
Ti‐Chun Chao United States
Yanwu Zeng China
Dominique Thépot France
Jianhong Hu China
Brahim Aı̈ssani United States
Kristen H. Taylor United States
Stephanie Maia Acuña Brazil
Sadie L. Marjani United States View profile →
Citations per field, relative to Min-Min Hua
Min-Min Hua · 1×
Citations per year, relative to Min-Min Hua
Min-Min Hua · 1×

Countries citing papers authored by Min-Min Hua

Since Specialization
Citations

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

Fields of papers citing papers by Min-Min Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Min Hua. 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 Min-Min Hua. The network helps show where Min-Min Hua may publish in the future.

Co-authorship network of co-authors of Min-Min Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Min Hua. A scholar is included among the top collaborators of Min-Min Hua 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 Min-Min Hua. Min-Min Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 2
5 12
6 43
7 90
8 145
9 4
10 200
11
The microRNA miR-29 controls innate and adaptive immune responses to intracellular bacterial infection by targeting interferon-γ breakdown →
542

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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