Song Yang

8.5k citations
44 papers · 1.4k indexed · h-index 16

Impact in

    • Zebrafish Biomedical Research Applications
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Zebrafish Biomedical Research Applications 15
    • Immune cells in cancer 6
    • Immune Cell Function and Interaction 4

Song Yang

41 papers receiving 1.4k citations

Peers

Song Yang
Comparison fields: 5 of 103
  • Cell Biology 383
  • Hematology 163
  • Immunology 305
  • Molecular Biology 855
  • Cancer Research 167
Replace Julia A. Horsfield with:
Julia A. Horsfield New Zealand
Jordan A. Shavit United States
Cicely A. Jette United States
Kees W. Rodenburg Netherlands
Xiangjun Tong China
Michael Oelgeschläger Germany
Julien Ablain France
Anthony Boureux France
Leonie M. Kamminga Netherlands
Jing Jiang China
Song Yang relative to Julia A. Horsfield New Zealand Julia A. Horsfield's profile →
Citations per field
00.5×
Julia A. Horsfield · 1×
Citations per year

Countries citing papers authored by Song Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Song Yang Line = papers co-authored together Song Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015272
2 2016267
3 2021112
4 202184
5 201982
6 201453
7 201252
8 201746
9 200735
10 202034
11 201733
12 202233
13 201533
14 201730
15 201922
16 202118
17 202115
18 202315
19 202214
20 201214

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.

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