Wenjun Qin

1.0k citations
36 papers · 748 · h-index 16

Impact in

Papers in

Wenjun Qin

34 papers receiving 744 citations

Peers

Wenjun Qin
Comparison fields: 5 of 109
  • Biotechnology 92
  • Biomedical Engineering 278
  • Immunology 101
  • Cancer Research 59
  • Dermatology 33
Replace Hirokazu Tanino with:
Hirokazu Tanino Japan
Ruth A. Modzelewski United States
Sungmin Lee South Korea
Е. В. Степанова Russia
Sun Young Lee South Korea
Anthony Cheung United Kingdom
Tomonari Kasai Japan
Stephan Krüger Germany
Arsen Osipov United States
Jieni Xu United States
Wenjun Qin relative to Hirokazu Tanino Japan Hirokazu Tanino's profile →
Citations per field
00.5×4.5×
Hirokazu Tanino · 1×
Citations per year

Countries citing papers authored by Wenjun Qin

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 202157
3 202245
4 201740
5 200939
6 201730
7 201828
8
Screening and diagnosis of colorectal cancer and advanced adenoma by Bionic Glycome method and machine learning.
202128
9 202227
10 201922
11 202022
12 201719
13 201919
14 202219
15 201817
16 202015
17 201914
18 202114
19 202114
20 201613

About Wenjun Qin

Wenjun Qin is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 36 papers that have together received 748 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Nanoplatforms for cancer theranostics (7 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Cancer Research and Treatments (2 papers), Genomics and Phylogenetic Studies (2 papers) and Electrocatalysts for Energy Conversion (2 papers). The work is most often cited by research in Biotechnology (92 citations), Biomedical Engineering (278 citations), Immunology (101 citations), Cancer Research (59 citations) and Dermatology (33 citations). Wenjun Qin has collaborated with scholars based in China, Maldives and United States. Frequent co-authors include Cheng Zhang, Xian‐Zheng Zhang, Xue‐Feng Bai, Jing Han, Shifang Ren, Jianxin Gu, Ran Zhao, Lixin Ma, Longyu Wang and Yong Gu. Their work appears in journals such as Clinical Proteomics, Journal of Cancer, Frontiers in Oncology, Small and Science China Materials.

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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