Xiaopan Li

12.8k citations
87 papers · 1.1k · h-index 17

Impact in

Papers in

Xiaopan Li

74 papers receiving 1.0k citations

Peers

Xiaopan Li
Comparison fields: 5 of 137
  • Issues, ethics and legal aspects 16
  • Health, Toxicology and Mutagenesis 146
  • Oncology 166
  • Infectious Diseases 98
  • Global and Planetary Change 88
Replace Ayush Jain with:
Ayush Jain India
Monica Pirani United Kingdom
Emilio Gianicolo Italy
Zhenkun Wang China
Paweł Goryński Poland
Sara Gale United States
Heather E. Danysh United States
Xiaoliang Huang China
John Cologne Japan
Manuel Schmid Germany
Xiaopan Li relative to Ayush Jain India Ayush Jain's profile →
Citations per field
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Ayush Jain · 1×
Citations per year

Countries citing papers authored by Xiaopan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2 201494
3 201691
4 201177
5 201468
6 202059
7 201858
8 201931
9 201928
10 202025
11 201124
12 201822
13 201820
14 201219
15 202017
16 202217
17 202016
18 201716
19 201215
20 201314

About Xiaopan Li

Xiaopan Li is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Neurology, Infectious Diseases and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Colorectal Cancer Screening and Detection (4 papers), Global Cancer Incidence and Screening (4 papers), Long-Term Effects of COVID-19 (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Multiple and Secondary Primary Cancers (3 papers). The work is most often cited by research in Issues, ethics and legal aspects (16 citations), Health, Toxicology and Mutagenesis (146 citations), Oncology (166 citations), Infectious Diseases (98 citations) and Global and Planetary Change (88 citations). Xiaopan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qiao Sun, Xianfeng Zhou, Fuhai Geng, Yang Chen, Tieying Zeng, Qi Zhang, Bei Yan, Yichen Chen, Ling Yang and Chen Ji. Their work appears in journals such as Frontiers in Public Health, BMC Public Health, Frontiers in Oncology, JMIR Public Health and Surveillance and Diabetes Metabolic Syndrome and Obesity.

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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