Hsiou‐Chi Liou

9.0k citations
85 papers · 7.9k indexed · 1 hit paper · h-index 48
Topics
NF-κB Signaling Pathways (45 papers)Immune Response and Inflammation (27 papers)Immune Cell Function and Interaction (24 papers)

In The Last Decade

Hsiou‐Chi Liou

85 papers receiving 7.8k citations

Hit Papers

DNA binding and IκB inhibition of the cloned p65 subunit ...19912026200220141991100200300400500

Peers

Hsiou‐Chi Liou
Comparison fields: 5 of 111
  • Immunology 5.0k
  • Cancer Research 3.5k
  • Molecular Biology 2.8k
  • Oncology 1.3k
  • Genetics 488
Replace Marc Schmidt‐Supprian with:
Marc Schmidt‐Supprian Germany
Hailing Hsu United States
Jun Ninomiya‐Tsuji Japan
David C. Scherer United States
Li‐Fan Lu United States
Edgar Serfling Germany
William C. Sha United States
Arda Shahinian Canada
Achim Leutz Germany
Frank Köntgen Australia
Hsiou‐Chi Liou relative to Marc Schmidt‐Supprian Germany Marc Schmidt‐Supprian's profile →
Citations per field
00.5×1.5×
Marc Schmidt‐Supprian · 1×
Citations per year

Countries citing papers authored by Hsiou‐Chi Liou

Since Specialization
Citations

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

Fields of papers citing papers by Hsiou‐Chi Liou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiou‐Chi Liou. 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 Hsiou‐Chi Liou. The network helps show where Hsiou‐Chi Liou may publish in the future.

Co-authorship network of co-authors of Hsiou‐Chi Liou

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiou‐Chi Liou. A scholar is included among the top collaborators of Hsiou‐Chi Liou 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 Hsiou‐Chi Liou. Hsiou‐Chi Liou 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 4
2 33
3 42
4 20
5 16
6 114
7 73
8 27
9 47
10 62
11 10
12 179
13 74
14 62
15 216
16 72
17 489
18 27
19 55
20 2

About Hsiou‐Chi Liou

Hsiou‐Chi Liou is a scholar working on Cancer Research, Immunology and Parasitology, having authored 85 papers that have together received 7.9k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (45 papers), Immune Response and Inflammation (27 papers) and Immune Cell Function and Interaction (24 papers). The work is most often cited by research in Immunology (5.0k citations), Cancer Research (3.5k citations) and Oncology (1.3k citations). Hsiou‐Chi Liou has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include David Baltimore, Garry P. Nolan, Martin Scott, Sankar Ghosh, Paul Tempst, Youhai H. Chen, Takashi Fujita, Laurie H. Glimcher, Mark Boothby and D Baltimore. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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