Kuo‐Chiang Hsia

1.2k citations
35 papers · 933 indexed · h-index 16
Topics
Microtubule and mitosis dynamics (13 papers)Nuclear Structure and Function (13 papers)RNA Research and Splicing (10 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Kuo‐Chiang Hsia

34 papers receiving 923 citations

Peers

Kuo‐Chiang Hsia
Comparison fields: 5 of 83
  • Molecular Biology 786
  • Cell Biology 282
  • Genetics 150
  • Ecology 56
  • Plant Science 49
Replace Benjamin M. Stinson with:
Benjamin M. Stinson United States
Ahmad Jomaa United States
Johanna Roostalu United Kingdom
Frank Bürmann Germany
Nilakshee Bhattacharya United States
Alexandra M. Deaconescu United States
Michael Saur Germany
Hugo Arellano-Santoyo United States
Tom Dendooven United Kingdom
Jörg Bürger Germany
Kuo‐Chiang Hsia relative to Benjamin M. Stinson United States Benjamin M. Stinson's profile →
Citations per field
00.5×1.5×2.2×
Benjamin M. Stinson · 1×
Citations per year

Countries citing papers authored by Kuo‐Chiang Hsia

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chiang Hsia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chiang Hsia. 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 Kuo‐Chiang Hsia. The network helps show where Kuo‐Chiang Hsia may publish in the future.

Co-authorship network of co-authors of Kuo‐Chiang Hsia

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chiang Hsia. A scholar is included among the top collaborators of Kuo‐Chiang Hsia 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 Kuo‐Chiang Hsia. Kuo‐Chiang Hsia 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 1
2 8
3 8
4 2
5 3
6 2
7 7
8 5
9 6
10 14
11 40
12 20
13 31
14 3
15 64
16 10
17 102
18 112
19 42
20 54

About Kuo‐Chiang Hsia

Kuo‐Chiang Hsia is a scholar working on Cell Biology, Structural Biology and Molecular Medicine, having authored 35 papers that have together received 933 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (13 papers), Nuclear Structure and Function (13 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Structural Biology (31 citations), Cell Biology (282 citations) and Molecular Biology (786 citations). Kuo‐Chiang Hsia has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include André Hoelz, Hanna S. Yuan, Günter Blobel, Tarun M. Kapoor, Yuta Shimamoto, Pete Stavropoulos, Chia‐Lung Li, Yi‐Sheng Cheng, Erik Debler and L.G. Doudeva. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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