Song Yang
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in ⓘ
- Cell Biology 17
- Zebrafish Biomedical Research Applications 15
- Immunology 16
- Immune cells in cancer 6
- Immune Cell Function and Interaction 4
- 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)Charles K. Kaufman (3 shared papers)Sean C. Sleight (1 shared paper)Ellen van Rooijen (3 shared papers)
- Journals
- eLife (5 papers)Science (3 papers)Blood (3 papers)The Journal of Experimental Medicine (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Song Yang
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Cell Biology 383
- Hematology 163
- Immunology 305
- Molecular Biology 855
- Cancer Research 167
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 272 | |
| 2 | 2016 | 267 | |
| 3 | 2021 | 112 | |
| 4 | 2021 | 84 | |
| 5 | 2019 | 82 | |
| 6 | 2014 | 53 | |
| 7 | 2012 | 52 | |
| 8 | 2017 | 46 | |
| 9 | 2007 | 35 | |
| 10 | 2020 | 34 | |
| 11 | 2017 | 33 | |
| 12 | 2022 | 33 | |
| 13 | 2015 | 33 | |
| 14 | 2017 | 30 | |
| 15 | 2019 | 22 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2012 | 14 |
About Song Yang
Song Yang is a scholar working on Cell Biology, Immunology, Aging, Hematology and Molecular Biology, having authored 44 papers that have together received 1.4k 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), Genomics and Phylogenetic Studies (4 papers), Acute Myeloid Leukemia Research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cell Biology (383 citations), Hematology (163 citations), Immunology (305 citations), Molecular Biology (855 citations) and Cancer Research (167 citations). Song Yang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Leonard I. Zon, Julien Ablain, Yi Zhou, Ellen M. Durand, Elliott J. Hagedorn, Charles K. Kaufman, Sean C. Sleight, Ellen van Rooijen, Richard M. White and Christie Ciarlo. Their work appears in journals such as eLife, Science, Blood, 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.