Hong-Bing Shu

9.1k citations
20 papers · 5.6k indexed · 3 hit papers · h-index 15

Hong-Bing Shu

20 papers receiving 5.5k citations

Hit Papers

The Adaptor Protein MITA Links Virus-Sensing Recepto...1.2k199620262006201650010001.5k

Peers

Hong-Bing Shu
Comparison fields: 5 of 99
  • Immunology 3.8k
  • Cancer Research 1.8k
  • Infectious Diseases 871
  • Molecular Biology 3.1k
  • Oncology 761
Replace Chee-Kwee Ea with:
Chee-Kwee Ea United States
Zhonghe Zhai China
Pavel Kovarik Austria
Chantal Mattmann Switzerland
Paul W. Dempsey United States
Marc J. Servant Canada
Nancy C. Reich United States
Siddharth Balachandran United States
Kim Burns Switzerland
Hong-Bing Shu relative to Chee-Kwee Ea United States Chee-Kwee Ea's profile →
Citations per field
00.5×1.6×
Chee-Kwee Ea · 1×
Citations per year

Countries citing papers authored by Hong-Bing Shu

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Bing Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Bing Shu. 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 Hong-Bing Shu. The network helps show where Hong-Bing Shu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hong-Bing Shu, 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 Hong-Bing Shu Line = papers co-authored together Hong-Bing Shu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20242
4 20249
5 2017158
6 2014135
7 2014225
8 2013145
9 201214
10 201225
11 2012120
12 201128
13 2010154
14
The Adaptor Protein MITA Links Virus-Sensing Receptors to IRF3 Transcription Factor Activationbreakdown →
20081236
15 200722
16 2004109
17 2002155
18
TRADD–TRAF2 and TRADD–FADD Interactions Define Two Distinct TNF Receptor 1 Signal Transduction Pathwaysbreakdown →
19961695
19
TNF-Dependent Recruitment of the Protein Kinase RIP to the TNF Receptor-1 Signaling Complexbreakdown →
1996966
20 1996358

About Hong-Bing Shu

Hong-Bing Shu is a scholar working on Immunology, Cancer Research and Infectious Diseases, having authored 20 papers that have together received 5.6k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), NF-κB Signaling Pathways (9 papers), Cell death mechanisms and regulation (6 papers), Immune Response and Inflammation (6 papers), Viral Infections and Vectors (5 papers), RNA regulation and disease (3 papers), Ubiquitin and proteasome pathways (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Immunology (3.8k citations), Cancer Research (1.8k citations) and Infectious Diseases (871 citations). Hong-Bing Shu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David V. Goeddel, Hailing Hsu, Jianing Huang, Vijay Baichwal, Yanyi Wang, Bo Zhong, Shu Li, Lu Zhang, Masahiro Takeuchi and Xiao He.

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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