Hong‐Hua Miao

1.4k total citations
20 papers, 1.1k citations indexed

About

Hong‐Hua Miao is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Hong‐Hua Miao has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Surgery and 7 papers in Cell Biology. Recurrent topics in Hong‐Hua Miao's work include Cholesterol and Lipid Metabolism (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Hong‐Hua Miao is often cited by papers focused on Cholesterol and Lipid Metabolism (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Hong‐Hua Miao collaborates with scholars based in China, Czechia and Hong Kong. Hong‐Hua Miao's co-authors include Bao‐Liang Song, Bo-Liang Li, Liang Ge, Wei Qi, Yu-Xiu Qu, Jing Wang, Jian Cao, Jie Luo, Yang Shen and Peishan Li and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hong‐Hua Miao

20 papers receiving 1.0k citations

Peers

Hong‐Hua Miao
Comparison fields: 5 of 82
  • Molecular Biology 517
  • Surgery 486
  • Cell Biology 209
  • Cancer Research 204
  • Oncology 171
Replace Wendelin Frick with:
Wendelin Frick Germany
Margaret Nickel United States
Olga Starodub United States
Scott M. Colles United States
Margot Grandl Germany
Michael A. Reuben United States
Marina Mojena Spain
Marissa J. Nadolski United States
Wenzhen Ma United States
Dan Xie China
Wendelin Frick Germany View profile →
Citations per field, relative to Hong‐Hua Miao
Hong‐Hua Miao · 1×
Citations per year, relative to Hong‐Hua Miao
Hong‐Hua Miao · 1×

Countries citing papers authored by Hong‐Hua Miao

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Hua Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Hua Miao. 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 Hong‐Hua Miao. The network helps show where Hong‐Hua Miao may publish in the future.

Co-authorship network of co-authors of Hong‐Hua Miao

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 64
3 114
4 35
5 2
6 73
7 7
8 30
9 5
10 112
11 91
12 122
13 15
14 49
15 277
16 27
17 18
18 2
19
Effect of arginine-vasopressin short analogs on the growth of C_(6) cells
1
20 9

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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