Song Gao

9.4k citations
157 papers · 5.5k indexed · 2 hit papers · h-index 39
    • Cancer, Hypoxia, and Metabolism 19
  • Immunology top 2%
    • interferon and immune responses 10
    • Immune cells in cancer 9
    • RNA modifications and cancer 12
    • Mitochondrial Function and Pathology 10
    • CRISPR and Genetic Engineering 8
    • ATP Synthase and ATPases Research 8
  • Oncology top 5%
    • Cellular transport and secretion 8

Song Gao

156 papers receiving 5.4k citations

Hit Papers

Mitochondrial Fusion: The Machineries In and Out2732020202620222024100200300

Peers

Song Gao
Comparison fields: 5 of 156
  • Cancer Research 1.1k
  • Immunology 1.0k
  • Molecular Biology 3.1k
  • Oncology 905
  • Cell Biology 541
Replace Florian Reisinger with:
Florian Reisinger United Kingdom
Keiryn L. Bennett Austria
Ola Larsson Sweden
Tao Li China
Irina Kratchmarova Denmark
Dan Mercola United States
Jamie I. Fletcher Australia
Wee Joo Chng Singapore
John F. Timms United Kingdom
Peng Wang China
Song Gao relative to Florian Reisinger United Kingdom Florian Reisinger's profile →
Citations per field
00.5×2.9×
Florian Reisinger · 1×
Citations per year

Countries citing papers authored by Song Gao

Since Specialization
Citations

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

Fields of papers citing papers by Song Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20241
4 20242
5 202310
6 20231
7 202113
8 202047
9 20201
10 202048
11 202015
12 202038
13 2019119
14 201834
15 20181
16 2014140
17 201343
18 20112
19 2011136
20 200913

About Song Gao

Song Gao is a scholar working on Cancer Research, Immunology and Structural Biology, having authored 157 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (19 papers), RNA modifications and cancer (12 papers), interferon and immune responses (10 papers), Mitochondrial Function and Pathology (10 papers), Immune cells in cancer (9 papers), CRISPR and Genetic Engineering (8 papers), ATP Synthase and ATPases Research (8 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (1.0k citations) and Molecular Biology (3.1k citations). Song Gao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Junjie Hu, Oliver Daumke, Georg Kochs, Alexander von der Malsburg, Otto Haller, Katja Faelber, John W. Finley, Niranjan Nagarajan, Hongwei Wang and Tiansuo Zhao. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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