Song Yang
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 6
- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 5
- Cell Biology 18
- Zebrafish Biomedical Research Applications 15
- Co-authors
- Leonard I. Zon (26 shared papers)Julien Ablain (4 shared papers)Yi Zhou (12 shared papers)Ellen M. Durand (2 shared papers)Elliott J. Hagedorn (4 shared papers)Herbert M. Sauro (1 shared paper)Sean C. Sleight (1 shared paper)Charles K. Kaufman (3 shared papers)
- Journals
- eLife (5 papers)Blood (3 papers)Science (3 papers)The Journal of Experimental Medicine (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Song Yang
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Cell Biology 394
- Hematology 165
- Immunology 304
- Molecular Biology 860
- Cancer Research 155
Countries citing papers authored by Song Yang
This map shows the geographic impact of Song 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 Song Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Yang more than expected).
Fields of papers citing papers by Song Yang
This network shows the impact of papers produced by Song 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 Song Yang. The network helps show where Song Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Song Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 291 | |
| 2 | 2016 | 283 | |
| 3 | 2021 | 120 | |
| 4 | 2021 | 90 | |
| 5 | 2019 | 86 | |
| 6 | 2012 | 60 | |
| 7 | 2014 | 55 | |
| 8 | 2017 | 47 | |
| 9 | 2007 | 35 | |
| 10 | 2022 | 35 | |
| 11 | 2017 | 35 | |
| 12 | 2020 | 35 | |
| 13 | 2015 | 34 | |
| 14 | 2017 | 31 | |
| 15 | 2019 | 22 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2012 | 14 |
About Song Yang
Song Yang is a scholar working on Molecular Biology, Cell Biology, Immunology, Plant Science and Hematology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (15 papers), Immune cells in cancer (6 papers), Epigenetics and DNA Methylation (6 papers), Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (5 papers), Acute Myeloid Leukemia Research (4 papers), Adipose Tissue and Metabolism (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cell Biology (394 citations), Hematology (165 citations), Immunology (304 citations), Molecular Biology (860 citations) and Cancer Research (155 citations). Song Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Leonard I. Zon, Julien Ablain, Yi Zhou, Ellen M. Durand, Elliott J. Hagedorn, Herbert M. Sauro, Sean C. Sleight, Charles K. Kaufman, Eric C. Liao and Richard M. White. Their work appears in journals such as eLife, Blood, Science, The Journal of Experimental Medicine and Nucleic Acids 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.