Renpeng Li

29 papers receiving 577 citations

Renpeng Li's Hit Papers

An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas 2021 · 175 citations
1750+1+3Years since publication50100150

Peers

Renpeng Li
Comparison fields: 5 of 99
  • Genetics 84
  • Health Informatics 6
  • Hepatology 28
  • Cancer Research 53
  • Neurology 29
Replace Jia He with:
Jia He China
Xing Hua China
RP Tripathi India
Yongquan Huang China
R. Di Stefano Italy
Seyed Hossein Ahmadi Iran
Yaqin Zhu China
Helene Vietsch Netherlands
Rui Jin China
Małgorzata Rusak Poland
Renpeng Li relative to Jia He China Jia He's profile →
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Countries citing papers authored by Renpeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Renpeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas
Hit paper breakdown →
2021175
2 201374
3 202268
4 202350
5 202045
6 202035
7 201920
8 202311
9 20239
10 20239
11 20199
12 20198
13 20238
14 20207
15 20207
16 20235
17 20205
18
[Estimation on disease burden related to hepatitis B virus infection in Shandong province of China].
20095
19 20205
20 20244

About Renpeng Li

Renpeng Li is a scholar working on Molecular Biology, Genetics, Epidemiology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 580 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Streptococcal Infections and Treatments (2 papers), Hepatitis B Virus Studies (2 papers), Cervical Cancer and HPV Research (2 papers), Genital Health and Disease (2 papers), Influenza Virus Research Studies (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Genetics (84 citations), Health Informatics (6 citations), Hepatology (28 citations), Cancer Research (53 citations) and Neurology (29 citations). Renpeng Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include You Zhai, Guanzhang Li, Fan Wu, Haoyu Jiang, Tao Jiang, Zenghui Qian, Yiming Li, Yufei He, Jing Zhang and Zhiliang Wang. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Journal of Neuroinflammation, Medicine, The Journal of Pathology and iScience.

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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