Hung‐En Hsia

433 total citations
8 papers, 226 citations indexed

About

Hung‐En Hsia is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hung‐En Hsia has authored 8 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hung‐En Hsia's work include Ubiquitin and proteasome pathways (3 papers), Signaling Pathways in Disease (2 papers) and Cell Adhesion Molecules Research (2 papers). Hung‐En Hsia is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Signaling Pathways in Disease (2 papers) and Cell Adhesion Molecules Research (2 papers). Hung‐En Hsia collaborates with scholars based in Germany, Italy and United States. Hung‐En Hsia's co-authors include Stefan F. Lichtenthaler, Johanna Tüshaus, Simone Dario Scilabra, Kim Nasmyth, Farahnaz Sananbenesi, André Fischer, Hiroshi Kawabe, Sanaz Bahari‐Javan, Stefan Irniger and Roman M. Stilling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The FASEB Journal.

In The Last Decade

Hung‐En Hsia

8 papers receiving 226 citations

Peers

Hung‐En Hsia
Comparison fields: 5 of 61
  • Molecular Biology 157
  • Genetics 40
  • Cellular and Molecular Neuroscience 35
  • Cell Biology 32
  • Oncology 31
Replace Will Macnair with:
Will Macnair Switzerland
Elena McBeath United States
Matthew R. Hass United States
Hannah J. Wiedner United States
Shaun Cordes United States
Pavan K. Kommareddi United States
Vilma Rraklli Sweden
Jakub Harnoš Czechia
Hannah C. Webber United States
Chien‐Ling Lin United States
Will Macnair Switzerland View profile →
Citations per field, relative to Hung‐En Hsia
Hung‐En Hsia · 1×
Citations per year, relative to Hung‐En Hsia
Hung‐En Hsia · 1×

Countries citing papers authored by Hung‐En Hsia

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐En Hsia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung‐En Hsia

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 2
2 5
3 3
4 91
5 14
6 3
7 70
8 38

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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