Yao‐Hua Song

6.4k citations
75 papers · 5.1k indexed · 2 hit papers · h-index 34
Topics
Mesenchymal stem cell research (23 papers)Tissue Engineering and Regenerative Medicine (16 papers)Cancer Cells and Metastasis (14 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Yao‐Hua Song

74 papers receiving 5.1k citations

Hit Papers

Inflammasomes as therapeutic targets in human diseases20212026202220242021202350100150

Peers

Yao‐Hua Song
Comparison fields: 5 of 124
  • Molecular Biology 2.3k
  • Genetics 1.6k
  • Surgery 1.5k
  • Oncology 749
  • Biomaterials 616
Replace Paolo Madeddu with:
Paolo Madeddu United Kingdom
Micheline Duriez France
Hongjun Wang United States
Gangjian Qin United States
Jean‐Sébastien Silvestre France
Qizhou Lian China
Paul R. Crisostomo United States
Béatrice Cousin France
Coralie Sengenès France
Yao‐Hua Song relative to Paolo Madeddu United Kingdom Paolo Madeddu's profile →
Citations per field
00.5×1.5×
Paolo Madeddu · 1×
Citations per year

Countries citing papers authored by Yao‐Hua Song

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Hua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao‐Hua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Hua Song. A scholar is included among the top collaborators of Yao‐Hua Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yao‐Hua Song. Yao‐Hua Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 0
3 10
4
Ribosome biogenesis in disease: new players and therapeutic targetsbreakdown →
146
5 14
6
Inflammasomes as therapeutic targets in human diseasesbreakdown →
175
7 10
8 144
9 10
10 162
11 14
12 36
13 22
14 60
15 36
16 30
17 308
18 1
19 183
20 14

About Yao‐Hua Song

Yao‐Hua Song is a scholar working on Genetics, Aging and Rehabilitation, having authored 75 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (23 papers), Tissue Engineering and Regenerative Medicine (16 papers) and Cancer Cells and Metastasis (14 papers). The work is most often cited by research in Genetics (1.6k citations), Biomaterials (616 citations) and Rehabilitation (294 citations). Yao‐Hua Song has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Yangxin Li, Patrice Delafontaine, Eckhard Alt, Xiaowen Bai, Sebastian Gehmert, Kai Pinkernell, Yasheng Yan, Nadia Rosenthal, Eswaran Devarajan and Fabian Muehlberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.

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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