Robert X.-D. Song
- Genetics top 2%
- Molecular Biology top 10%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Richard J. SantenZhenguo ZhangYongde BaoRakesh KumarWei YueR. A. McPhersonLiana AdamMargaret A. Shupnik
- Topics
- Estrogen and related hormone effects (14 papers)Cytokine Signaling Pathways and Interactions (8 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismCancer Research
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Robert X.-D. Song
18 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Genetics 1.0k
- Molecular Biology 807
- Oncology 574
- Endocrinology, Diabetes and Metabolism 286
- Surgery 225
Countries citing papers authored by Robert X.-D. Song
This map shows the geographic impact of Robert X.-D. 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 Robert X.-D. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert X.-D. Song more than expected).
Fields of papers citing papers by Robert X.-D. Song
This network shows the impact of papers produced by Robert X.-D. 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 Robert X.-D. Song. The network helps show where Robert X.-D. Song may publish in the future.
Co-authorship network of co-authors of Robert X.-D. Song
This figure shows the co-authorship network connecting the top 25 collaborators of Robert X.-D. Song. A scholar is included among the top collaborators of Robert X.-D. 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 Robert X.-D. Song. Robert X.-D. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 195 | |
| 3 | 1 | |
| 4 | 70 | |
| 5 | 53 | |
| 6 | 75 | |
| 7 | 30 | |
| 8 | 23 | |
| 9 | 111 | |
| 10 | 88 | |
| 11 | 60 | |
| 12 | 50 | |
| 13 | 127 | |
| 14 | 37 | |
| 15 | 60 | |
| 16 | 274 | |
| 17 | 342 | |
| 18 | 82 | |
| 19 | 74 |
About Robert X.-D. Song
Robert X.-D. Song is a scholar working on Genetics, Oncology and Toxicology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Genetics (1.0k citations), Oncology (574 citations) and Endocrinology, Diabetes and Metabolism (286 citations). Robert X.-D. Song has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Richard J. Santen, Zhenguo Zhang, Yongde Bao, Rakesh Kumar, Wei Yue, R. A. McPherson, Liana Adam, Margaret A. Shupnik, Christopher J. Barnes and Ping Fan. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Cancer 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.