Jason Yang

3.8k citations
95 papers · 3.2k · h-index 28

Impact in

  • Oncology top 2%
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cancer Risks and Factors
  • Genetics top 2%
    • Estrogen and related hormone effects
    • Virus-based gene therapy research
    • Animal Genetics and Reproduction

Papers in

    • Cancer Cells and Metastasis 24
    • Cancer Risks and Factors 7
    • Hepatocellular Carcinoma Treatment and Prognosis 8

Jason Yang

93 papers receiving 3.0k citations

Peers

Jason Yang
Comparison fields: 5 of 122
  • Oncology 1.5k
  • Genetics 995
  • Cancer Research 300
  • Immunology and Allergy 122
  • Hepatology 122
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Jason Yang relative to Attan Kasid United States Attan Kasid's profile →
Citations per field
00.5×5×10×15×19.3×
Attan Kasid · 1×
Citations per year

Countries citing papers authored by Jason Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jason Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995362
2 1979264
3 2020218
4 1999179
5 1980153
6 1980140
7 2021118
8 1983108
9 200199
10 198393
11
Effects of hormones and growth factors on human mammary epithelial cells in collagen gel culture.
198179
12 202377
13 198070
14 198357
15 201854
16 198253
17 197951
18 202050
19 198245
20 200142

About Jason Yang

Jason Yang is a scholar working on Oncology, Hepatology, Genetics, Cancer Research and Surgery, having authored 95 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (24 papers), Estrogen and related hormone effects (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer Risks and Factors (7 papers), Breast Cancer Treatment Studies (6 papers), Virus-based gene therapy research (6 papers), Collagen: Extraction and Characterization (5 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Oncology (1.5k citations), Genetics (995 citations), Cancer Research (300 citations), Immunology and Allergy (122 citations) and Hepatology (122 citations). Jason Yang has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include S. Nandi, Raphael C. Guzman, Raphael G Guzman, Satyabrata Nandi, James Richards, Walter T. Imagawa, Gudmundur Thórdarson, Rajkumar Lakshmanaswamy, Kathy McCormick and Jumpei Enami. Their work appears in journals such as Cancer Letters, Journal of Gastrointestinal Surgery, Proceedings of the National Academy of Sciences, Surgery and Experimental Cell Research.

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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