Chih‐Hsiang Huang

869 citations
22 papers · 697 indexed · h-index 16
Topics
Peptidase Inhibition and Analysis (8 papers)Neuropeptides and Animal Physiology (6 papers)Diabetes Treatment and Management (4 papers)

In The Last Decade

Chih‐Hsiang Huang

22 papers receiving 686 citations

Peers

Chih‐Hsiang Huang
Comparison fields: 5 of 89
  • Molecular Biology 382
  • Oncology 189
  • Cellular and Molecular Neuroscience 118
  • Cell Biology 104
  • Plant Science 104
Replace Zeno Lavagnino with:
Zeno Lavagnino Italy
Martin Linke Germany
Ralph J. Abi‐Habib Lebanon
R I Feldman United States
N. T. Hang Pham Canada
Stephanie N. Hicks United States
Yu Kitago Japan
Chengwei Zhang China
Zhizhi Wang United States
Liping Xu United States
Chih‐Hsiang Huang relative to Zeno Lavagnino Italy Zeno Lavagnino's profile →
Citations per field
00.5×5.6×
Zeno Lavagnino · 1×
Citations per year

Countries citing papers authored by Chih‐Hsiang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Hsiang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Hsiang Huang. 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 Chih‐Hsiang Huang. The network helps show where Chih‐Hsiang Huang may publish in the future.

Co-authorship network of co-authors of Chih‐Hsiang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Hsiang Huang. A scholar is included among the top collaborators of Chih‐Hsiang Huang 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 Chih‐Hsiang Huang. Chih‐Hsiang Huang 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
#WorkIndexed citations
1 2
2 3
3 15
4 8
5 31
6 34
7 17
8 25
9 43
10 36
11 22
12 105
13 5
14 15
15 26
16 55
17 22
18 77
19 15
20 104

About Chih‐Hsiang Huang

Chih‐Hsiang Huang is a scholar working on Oncology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 697 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Neuropeptides and Animal Physiology (6 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Oncology (189 citations), Cellular and Molecular Neuroscience (118 citations) and Cell Biology (104 citations). Chih‐Hsiang Huang has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Chang‐Hsien Yang, Hsing‐Fun Hsu, Yihong Ye, Weir‐Torn Jiaang, Xin Chen, Chih‐Ming Chen, Chia‐Hui Chien, Xin Chen, Yu‐Sheng Chao and Teng‐Kuang Yeh. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

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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