Hongchuan Liu

822 citations
38 papers · 633 indexed · h-index 12

Hongchuan Liu

36 papers receiving 623 citations

Peers

Hongchuan Liu
Comparison fields: 5 of 101
  • Safety, Risk, Reliability and Quality 52
  • Microbiology 34
  • Oncology 129
  • Molecular Biology 295
  • Infectious Diseases 76
Replace Shanshan Zhang with:
Shanshan Zhang China
Linda Chen United States
Yuchen Han China
Junbing Zhang China
Junko Murakami Japan
Rong Geng China
M. Kwinkowski Poland
Sun H. Paik United States
Mo Shen China
Yuhan Liu China
Hongchuan Liu relative to Shanshan Zhang China Shanshan Zhang's profile →
Citations per field
00.5×8.7×
Shanshan Zhang · 1×
Citations per year

Countries citing papers authored by Hongchuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hongchuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20234
4 20230
5 20220
6 202241
7 202110
8 202121
9 20218
10 20211
11 201720
12 20151
13 2014136
14
Design and Realization of Temperature and Humidity Monitoring System Based on CC2530
20131
15 20136
16 201349
17 201265
18 201044
19
An Attribute Weighting K-means Algorithm Based on Synthetic Weight
20101
20
An attribute weighting K-means algorithm based on mean-square-deviation
20103

About Hongchuan Liu

Hongchuan Liu is a scholar working on Infectious Diseases, Transplantation and Oncology, having authored 38 papers that have together received 633 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Biochemical and Structural Characterization (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (52 citations), Microbiology (34 citations) and Oncology (129 citations). Hongchuan Liu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Cai‐Guang Yang, Hualiang Jiang, Pengfei Li, Cheng Luo, Ruihan Zhang, Zheng Li, Lefu Lan, Baoen Chen, Xiaoxu Sun and Shaynoor Dramsi. Their work appears in journals such as mAbs, Journal of Biological Chemistry, Protein Expression and Purification, Bioanalysis and Acta Pharmaceutica Sinica B.

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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