Hsiang Fu Kung

1.9k citations
39 papers · 1.7k indexed · h-index 28
  • Oncology top 5%
    • Cancer-related Molecular Pathways 4
    • Cytokine Signaling Pathways and Interactions 4
  • Immunology top 10%
    • interferon and immune responses 5
    • Immunotherapy and Immune Responses 3
    • NF-κB Signaling Pathways 6
    • Cell death mechanisms and regulation 6
    • Ubiquitin and proteasome pathways 5
    • RNA Interference and Gene Delivery 3
  • Hepatology top 10%

Hsiang Fu Kung

38 papers receiving 1.6k citations

Peers

Hsiang Fu Kung
Comparison fields: 5 of 109
  • Oncology 511
  • Immunology 304
  • Cancer Research 216
  • Molecular Biology 900
  • Hepatology 92
Replace Masayuki Tsuchiya with:
Masayuki Tsuchiya Japan
Yoko Endo Japan
Wei Xia China
Chuck C.‐K. Chao Taiwan
Misako Haraguchi Japan
Maria Serova France
Martin K. Bijsterbosch Netherlands
Christopher J. Wrighton United Kingdom
Yingqi Zhang China
Vijay Pandey China
Hsiang Fu Kung relative to Masayuki Tsuchiya Japan Masayuki Tsuchiya's profile →
Citations per field
00.5×1.5×
Masayuki Tsuchiya · 1×
Citations per year

Countries citing papers authored by Hsiang Fu Kung

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang Fu Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang Fu Kung. 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 Hsiang Fu Kung. The network helps show where Hsiang Fu Kung may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hsiang Fu Kung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsiang Fu Kung Line = papers co-authored together Hsiang Fu Kung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201143
2 201045
3 201013
4 201037
5 20093
6 200936
7 200927
8 200827
9 200849
10 200734
11 200640
12 200688
13 200672
14 200571
15 200527
16 200572
17 200498
18 200360
19 200351
20 200229

About Hsiang Fu Kung

Hsiang Fu Kung is a scholar working on Cancer Research, Immunology and Oncology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), NF-κB Signaling Pathways (6 papers), interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), RNA Interference and Gene Delivery (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Oncology (511 citations), Immunology (304 citations) and Cancer Research (216 citations). Hsiang Fu Kung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Shiu Kum Lam, Bing Zou, Shi Hu Jiang, Shui Ping Tu, Marie C.M. Lin, Marie C.M. Lin, Man‐Fung Yuen, Benjamin Chun–Yu Wong, Wai Man Wong and Harry Hua‐Xiang Xia. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology 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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