Hong‐Wen Liu

9.2k citations
229 papers · 7.7k indexed · 2 hit papers · h-index 49

Hong‐Wen Liu

219 papers receiving 7.6k citations

Hit Papers

A review of metallur...702018202620202023250500750

Peers

Hong‐Wen Liu
Comparison fields: 5 of 170
  • Biochemistry 1.3k
  • Spectroscopy 2.0k
  • Materials Chemistry 2.5k
  • Biomedical Engineering 2.1k
  • Bioengineering 203
Replace Run Zhang with:
Run Zhang China
Haixia Zhang China
Jing Zhao China
Ling Li China
Wen Sun China
Hua Chen China
Yun Zhang China
Ming Wang China
Jianjun Du China
Ming Xian United States
Hong‐Wen Liu relative to Run Zhang China Run Zhang's profile →
Citations per field
00.5×1.5×
Run Zhang · 1×
Citations per year

Countries citing papers authored by Hong‐Wen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Wen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 202416
4 20247
5 202416
6 20242
7 20241
8 20249
9 202420
10 20241
11 202319
12 20234
13 202362
14 202390
15 202328
16 202011
17 201910
18 201611
19 200614
20
High prevalence of immunoglobulin A antibody against Epstein-Barr virus capsid antigen in adult patients with lupus with disease flare: case control studies.
200559

About Hong‐Wen Liu

Hong‐Wen Liu is a scholar working on Biochemistry, Spectroscopy, Biomedical Engineering, Rheumatology and Immunology, having authored 229 papers that have together received 7.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (40 papers), Molecular Sensors and Ion Detection (38 papers), Sulfur Compounds in Biology (27 papers), Luminescence and Fluorescent Materials (27 papers), Advanced biosensing and bioanalysis techniques (26 papers), Nitric Oxide and Endothelin Effects (12 papers), Systemic Lupus Erythematosus Research (10 papers) and Photodynamic Therapy Research Studies (9 papers). The work is most often cited by research in Biochemistry (1.3k citations), Spectroscopy (2.0k citations), Materials Chemistry (2.5k citations), Biomedical Engineering (2.1k citations) and Bioengineering (203 citations). Hong‐Wen Liu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xiaobing Zhang, Weihong Tan, Xiaoxiao Hu, Lanlan Chen, Lin Yuan, Cheng‐Yan Xu, Haiyang Zhang, Zhe Li, Jeng‐Hsien Yen and Lili Teng. Their work appears in journals such as Analytical Chemistry, Chemical Communications, Chemical Science, Journal of Clinical Immunology and Angewandte Chemie International Edition.

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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