Shaobo Ke

653 citations
25 papers · 420 · h-index 13

Impact in

Papers in

    • Esophageal Cancer Research and Treatment 8
    • Cancer Immunotherapy and Biomarkers 2
    • Lung Cancer Research Studies 2

Shaobo Ke

24 papers receiving 418 citations

Peers

Shaobo Ke
Comparison fields: 5 of 46
  • Cancer Research 78
  • Clinical Biochemistry 26
  • Oncology 86
  • Molecular Biology 177
  • Surgery 101
Replace Chien‐Hsing Lin with:
Chien‐Hsing Lin Taiwan
Sachiko Moriyama Japan
Joel M. Lechner United States
Tseng-Nip Tam Taiwan
Ivan Tomasi United Kingdom
Pailan Peng China
Xiang-Yuan Wu China
Chen-Sung Lin Taiwan
Jürgen Wolf Germany
Shaobo Ke relative to Chien‐Hsing Lin Taiwan Chien‐Hsing Lin's profile →
Citations per field
00.5×8.5×
Chien‐Hsing Lin · 1×
Citations per year

Countries citing papers authored by Shaobo Ke

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaobo Ke, 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 Shaobo Ke Line = papers co-authored together Shaobo Ke 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 202380
2 201455
3 201933
4 201828
5 201625
6 201923
7 202121
8 202319
9 201919
10 201717
11 201816
12 202314
13 202213
14 20219
15 20228
16 20218
17 20188
18 20136
19
Clinical considerations for the management of cancer patients in the mitigation stage of the COVID-19 pandemic.
20205
20 20254

About Shaobo Ke

Shaobo Ke is a scholar working on Surgery, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 25 papers that have together received 420 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (8 papers), Gastric Cancer Management and Outcomes (3 papers), Phytochemical compounds biological activities (2 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Mechanisms and Therapy (2 papers), Lung Cancer Research Studies (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (78 citations), Clinical Biochemistry (26 citations), Oncology (86 citations), Molecular Biology (177 citations) and Surgery (101 citations). Shaobo Ke has collaborated with scholars based in China, Netherlands and Japan. Frequent co-authors include Hu Qiu, Yongshun Chen, Jiamei Chen, Wensi Zhao, Wei Shi, Yongshun Chen, Lin Wu, Yi Gong, Qiushuang Wang and Wei Shi. Their work appears in journals such as Radiotherapy and Oncology, Journal of Clinical Oncology, Gene, Cancer Letters and Cancer Cell International.

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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