Chenyan Long

445 citations
24 papers · 287 · h-index 8

Impact in

    • Inflammatory Biomarkers in Disease Prognosis
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Radiomics and Machine Learning in Medical Imaging

Papers in

    • Colorectal Cancer Surgical Treatments 4
    • Cancer Immunotherapy and Biomarkers 2
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Gut microbiota and health 8

Chenyan Long

21 papers receiving 283 citations

Peers

Chenyan Long
Comparison fields: 5 of 47
  • Oncology 70
  • Radiology, Nuclear Medicine and Imaging 55
  • Artificial Intelligence 46
  • Health Informatics 3
  • Pulmonary and Respiratory Medicine 37
Replace Dajia Lin with:
Dajia Lin China
Seoree Kim South Korea
Marion Tonneau Canada
Nicole C.M. Visser Netherlands
Hong-LiangLi China
Tianjun Lan China
Haiying Tian China
Jeremy Fricke United States
Leeseul Kim United States
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Citations per field
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Citations per year

Countries citing papers authored by Chenyan Long

Since Specialization
Citations

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

Fields of papers citing papers by Chenyan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022106
2 202338
3 202223
4 202120
5 202419
6 202111
7 202110
8 202410
9 20238
10 20248
11 20248
12 20245
13 20144
14 20213
15 20223
16 20233
17 20232
18 20232
19 20242
20 20211

About Chenyan Long

Chenyan Long is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 24 papers that have together received 287 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Colorectal Cancer Surgical Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Oncology (70 citations), Radiology, Nuclear Medicine and Imaging (55 citations), Artificial Intelligence (46 citations), Health Informatics (3 citations) and Pulmonary and Respiratory Medicine (37 citations). Chenyan Long has collaborated with scholars based in China. Frequent co-authors include Weizhong Tang, Jungang Liu, Jun Yan, Jiaxin Cheng, Wei Jiang, Shuangmu Zhuo, Liyan Lin, Dexin Chen, Meiting Fu and Gang Chen. Their work appears in journals such as Journal of Translational Medicine, Frontiers in Oncology, Diseases of the Colon & Rectum, mSystems and BMC 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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