John Hsu

3.2k total citations
47 papers, 2.5k citations indexed

About

John Hsu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, John Hsu has authored 47 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in John Hsu's work include Advanced Neuroimaging Techniques and Applications (7 papers), Microtubule and mitosis dynamics (5 papers) and Cancer-related Molecular Pathways (5 papers). John Hsu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (7 papers), Microtubule and mitosis dynamics (5 papers) and Cancer-related Molecular Pathways (5 papers). John Hsu collaborates with scholars based in Taiwan, United States and Japan. John Hsu's co-authors include Hsing‐Pang Hsieh, Susumu Mori, Po‐Huang Liang, Kenichi Oishi, Andréia V. Faria, Michael I. Miller, Chih‐Jung Kuo, Argye E. Hillis, Ya‐Hui Chi and Chia-Nan Chen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and NeuroImage.

In The Last Decade

John Hsu

47 papers receiving 2.4k citations

Peers

John Hsu
Comparison fields: 5 of 134
  • Molecular Biology 638
  • Radiology, Nuclear Medicine and Imaging 631
  • Cognitive Neuroscience 422
  • Infectious Diseases 418
  • Computational Theory and Mathematics 327
Replace Judith Miklossy with:
Judith Miklossy Switzerland
Vivek Gupta Australia
Fang Zheng United States
Motohiro Kato Japan
Carsten Korth Germany
Patrick Emond France
Robert Alexander United States
Ying Jiang United States
Xiaochun Chen China
Judith Miklossy Switzerland View profile →
Citations per field, relative to John Hsu
John Hsu · 1×
Citations per year, relative to John Hsu
John Hsu · 1×

Countries citing papers authored by John Hsu

Since Specialization
Citations

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

Fields of papers citing papers by John Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of John Hsu. A scholar is included among the top collaborators of John Hsu 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 John Hsu. John Hsu 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 3
2 4
3 76
4 61
5 10
6 10
7 18
8 89
9 38
10 7
11 115
12 56
13 24
14 75
15 8
16
Anti-influenza drug discovery
1
17 89
18 36
19 81
20 140

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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