Hongjun Li

646 citations
25 papers · 383 · h-index 9

Impact in

Papers in

Hongjun Li

23 papers receiving 377 citations

Peers

Hongjun Li
Comparison fields: 5 of 67
  • Health Informatics 13
  • Infectious Diseases 159
  • Radiology, Nuclear Medicine and Imaging 84
  • Neurology 40
  • Emergency Medicine 22
Replace Yusuke Kobayashi with:
Yusuke Kobayashi Japan
Hugh McAlister New Zealand
Chengjie Ma China
Hai Pham United States
Mohammad Zare Mehrjardi Iran
Jyotirmoy Biswas India
Julia Schädler Germany
Paul W. Blair United States
Per Syrdalen Norway
Hongjun Li relative to Yusuke Kobayashi Japan Yusuke Kobayashi's profile →
Citations per field
00.5×10×13×
Yusuke Kobayashi · 1×
Citations per year

Countries citing papers authored by Hongjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201588
2 202179
3 202077
4 202238
5 202018
6 202015
7 202113
8 201712
9 20229
10 20227
11
Key Genes and Signaling Pathways Contribute to the Pathogensis of Diabetic Nephropathy.
20196
12 20185
13 20153
14 20202
15 20222
16 20251
17 20241
18 20241
19 20251
20 20231

About Hongjun Li

Hongjun Li is a scholar working on Infectious Diseases, Virology, Public Health, Environmental and Occupational Health, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 383 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), HIV Research and Treatment (4 papers), Viral Infections and Vectors (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers), Viral-associated cancers and disorders (2 papers), COVID-19 diagnosis using AI (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Health Informatics (13 citations), Infectious Diseases (159 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Neurology (40 citations) and Emergency Medicine (22 citations). Hongjun Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wenqiao Li, Ruili Li, Zhen Zhou, Lei Xu, Hui Wang, Yunfei Zha, Li Li, Qingxia Wu, Liang Li and Shuo Wang. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Biochemical and Biophysical Research Communications, Frontiers in Cardiovascular Medicine, Frontiers in Immunology and Theranostics.

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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