Jin Yang

1.9k citations
68 papers · 1.3k · 1 hit paper · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

Jin Yang

64 papers receiving 1.3k citations

Jin Yang's Hit Papers

Brief introduction of medical database and data mining technology in big data era 2020 · 369 citations
3690+2+4Years since publication100200300

Peers

Jin Yang
Comparison fields: 5 of 136
  • Cancer Research 255
  • Oncology 406
  • Pulmonary and Respiratory Medicine 334
  • Cell Biology 128
  • Health Information Management 30
Replace Supriya Gupta with:
Supriya Gupta United States
Rajesh Ramanathan United States
Sven H. Loosen Germany
Choong‐kun Lee South Korea
Clare Verrill United Kingdom
Xing Song China
Sujata Patil United States
Marjorie G. Zauderer United States
Zhenru Wu China
Jin Yang relative to Supriya Gupta United States Supriya Gupta's profile →
Citations per field
00.5×3.3×
Supriya Gupta · 1×
Citations per year

Countries citing papers authored by Jin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brief introduction of medical database and data mining technology in big data era
Hit paper breakdown →
2020369
2 201475
3 201853
4 201751
5 201947
6 201940
7 201736
8 202133
9 201525
10 202023
11 201923
12 201923
13 201923
14 201322
15 201621
16 201921
17 201619
18 202219
19 202219
20 202119

About Jin Yang

Jin Yang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Surgery, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), HER2/EGFR in Cancer Research (9 papers), Cancer-related molecular mechanisms research (6 papers), Advanced Breast Cancer Therapies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Gastric Cancer Management and Outcomes (5 papers), Breast Cancer Treatment Studies (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). The work is most often cited by research in Cancer Research (255 citations), Oncology (406 citations), Pulmonary and Respiratory Medicine (334 citations), Cell Biology (128 citations) and Health Information Management (30 citations). Jin Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jun Lyu, Qingqing Liu, Yuanjie Li, Shuai Zheng, Aozi Feng, Li Li, Tianyi Wang, Juan Li, Peijun Liu and Zhenyu Pan. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Annals of Oncology, Medicine and Frontiers in Oncology.

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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