Baolan Li

2.3k citations
35 papers · 868 indexed · h-index 12

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Lung Cancer Research Studies 16
    • Cancer Cells and Metastasis 4
    • Cancer Immunotherapy and Biomarkers 4
    • Lung Cancer Diagnosis and Treatment 10
    • Lung Cancer Treatments and Mutations 10

Baolan Li

35 papers receiving 861 citations

Peers

Baolan Li
Comparison fields: 5 of 76
  • Oncology 613
  • Pulmonary and Respiratory Medicine 325
  • Immunology 174
  • Cancer Research 119
  • Pathology and Forensic Medicine 58
Replace Satoshi Muto with:
Satoshi Muto Japan
Christopher Ruel United States
Jiachen Xu China
Vito Vanella Italy
Federica Biello Italy
Lucia Festino Italy
Rilan Bai China
Baolan Li relative to Satoshi Muto Japan Satoshi Muto's profile →
Citations per field
00.5×1.7×
Satoshi Muto · 1×
Citations per year

Countries citing papers authored by Baolan Li

Since Specialization
Citations

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

Fields of papers citing papers by Baolan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015319
2 2018195
3 201541
4 201941
5 201540
6 201429
7 202124
8 202021
9 202021
10 201716
11 201613
12 201412
13 201711
14 202210
15 202310
16 20169
17 20228
18 20237
19 20185
20 20185

About Baolan Li

Baolan Li is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Epidemiology, having authored 35 papers that have together received 868 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (16 papers), Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (10 papers), Neuroendocrine Tumor Research Advances (5 papers), Cancer Cells and Metastasis (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). The work is most often cited by research in Oncology (613 citations), Pulmonary and Respiratory Medicine (325 citations), Immunology (174 citations), Cancer Research (119 citations) and Pathology and Forensic Medicine (58 citations). Baolan Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mingming Hu, Ying Hu, Jiabei He, Zhehai Wang, Kai Li, Yi Luo, Yuankai Shi, Baohui Han, Ying Cheng and Jianying Zhou. Their work appears in journals such as Journal of Clinical Oncology, BMC Cancer, International Immunopharmacology, Molecular Oncology and British Journal of Cancer.

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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