Kangjun Sun

2.0k citations
8 papers · 1.4k · 1 hit paper · h-index 4

Impact in

Papers in

Kangjun Sun

5 papers receiving 1.4k citations

Kangjun Sun's Hit Papers

Development and clinical application of a rapid IgM‐IgG combined antibody test for SARS‐CoV‐2 infection diagnosis 2020 · 1.4k citations
1.4k0+2+4Years since publication4008001.2k

Peers

Kangjun Sun
Comparison fields: 5 of 105
  • Infectious Diseases 975
  • Modeling and Simulation 56
  • General Dentistry 17
  • Biomedical Engineering 448
  • Radiology, Nuclear Medicine and Imaging 207
Replace Ye Lin with:
Ye Lin China
Jiasheng Yang China
Ruilin Sun China
Ada Adriano United Kingdom
Sophie Elizabeth Beese United Kingdom
Ayden Malekjahani Canada
Buddhisha N. Udugama Canada
Pranav Kadhiresan Canada
Shengyuan Dang China
Ai Tang Xiao China
Kangjun Sun relative to Ye Lin China Ye Lin's profile →
Citations per field
00.5×2×2.6×
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Citations per year

Countries citing papers authored by Kangjun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kangjun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Kangjun Sun, 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 Kangjun Sun Line = papers co-authored together Kangjun Sun links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Development and clinical application of a rapid IgM‐IgG combined antibody test for SARS‐CoV‐2 infection diagnosis
Hit paper breakdown →
20201350
2 202231
3 20258
4 20234
5 20252
6 20260
7 20260
8 20260

About Kangjun Sun

Kangjun Sun is a scholar working on Polymers and Plastics, Process Chemistry and Technology, Biomedical Engineering, Automotive Engineering and Biomaterials, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (2 papers), Nanocluster Synthesis and Applications (1 paper), COVID-19 Clinical Research Studies (1 paper), Synthesis and properties of polymers (1 paper), Polymer composites and self-healing (1 paper), Advanced Nanomaterials in Catalysis (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Chemical Synthesis and Reactions (1 paper). The work is most often cited by research in Infectious Diseases (975 citations), Modeling and Simulation (56 citations), General Dentistry (17 citations), Biomedical Engineering (448 citations) and Radiology, Nuclear Medicine and Imaging (207 citations). Kangjun Sun has collaborated with scholars based in China, Germany and India. Frequent co-authors include Wangwang Yu, Yi‐Long Ma, Mengqian Li, Wen Lei, Fengyuan Zhang, Shanshan Dai, Jian’an Bai, Tao Jiang, Xiaolin Li and Yi Wang. Their work appears in journals such as Gene, Molecules, Journal of Medical Virology, Frontiers in Chemistry and ACS Applied Polymer 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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