Ying Song
- Molecular Biology
- Genetics top 5%
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Michael H. KohnStefan EndepolsNicole KlemannChing-Hua ShihD. RichterFranz‐Rainer MatuschkaMichael W. NachmanRui‐Ping Xiao
- Topics
- Radio Frequency Integrated Circuit Design (10 papers)Animal Ecology and Behavior Studies (8 papers)Advancements in PLL and VCO Technologies (8 papers)
- Cited by
- GeneticsReproductive MedicineEcology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Song
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 449
- Genetics 366
- Ecology 211
- Ecology, Evolution, Behavior and Systematics 138
- Electrical and Electronic Engineering 114
Countries citing papers authored by Ying Song
This map shows the geographic impact of Ying 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 Ying Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Song more than expected).
Fields of papers citing papers by Ying Song
This network shows the impact of papers produced by Ying 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 Ying Song. The network helps show where Ying Song may publish in the future.
Co-authorship network of co-authors of Ying Song
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Song. A scholar is included among the top collaborators of Ying 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 Ying Song. Ying 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 | 11 | |
| 2 | 5 | |
| 3 | 39 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 40 | |
| 12 | 3 | |
| 13 | 22 | |
| 14 | 11 | |
| 15 | Genetic Diversity of the Norway Rat (Rattus norvegicus) in Hainan Island Based on Mitochondrial Cytochrome b Gene | 1 |
| 16 | 13 | |
| 17 | 248 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | ON POPULATION DYNAMICS OF HAINAN ELD'S DEER (CERVUS ELDI HAIN ANUS) IN DATIAN NATURE RESERVE, HAINAN | 3 |
About Ying Song
Ying Song is a scholar working on Physiology, Pharmacology and Reproductive Medicine, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (10 papers), Animal Ecology and Behavior Studies (8 papers) and Advancements in PLL and VCO Technologies (8 papers). The work is most often cited by research in Genetics (366 citations), Reproductive Medicine (72 citations) and Ecology (211 citations). Ying Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael H. Kohn, Stefan Endepols, Nicole Klemann, Ching-Hua Shih, D. Richter, Franz‐Rainer Matuschka, Michael W. Nachman, Rui‐Ping Xiao, Anthony Yiu‐Ho Woo and Luay Nakhleh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.