Gang Song
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cognitive Neuroscience top 1%
- Genetics top 1%
- Molecular Biology top 10%
- Ecology top 5%
- Co-authors
- Nicholas J. TustisonBrian AvantsJames C. GeePhilip A. CookArno KleinFumin LeiYanhua QuChi‐Sang Poon
- Topics
- Genetic diversity and population structure (47 papers)Neuroscience of respiration and sleep (31 papers)Species Distribution and Climate Change (26 papers)
- Journals
- Proceedings of the National Academy of SciencesAdvanced MaterialsAngewandte Chemie International Edition
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Gang Song
208 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Radiology, Nuclear Medicine and Imaging 2.2k
- Cognitive Neuroscience 1.9k
- Genetics 1.2k
- Molecular Biology 847
- Ecology 642
Countries citing papers authored by Gang Song
This map shows the geographic impact of Gang 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 Gang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Song more than expected).
Fields of papers citing papers by Gang Song
This network shows the impact of papers produced by Gang 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 Gang Song. The network helps show where Gang Song may publish in the future.
Co-authorship network of co-authors of Gang Song
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Song. A scholar is included among the top collaborators of Gang 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 Gang Song. Gang 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 | 1 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 39 | |
| 18 | [Analysis of clinical characteristics of renal oncocytoma: 26 cases report]. | 1 |
| 19 | Habituation without NMDA Receptor-Dependent Desensitization of Hering- Apnea Reflex in a Mecp2 [superscript + / -] Mutant Mouse Model of Rett Syndrome | 1 |
| 20 | A reproducible evaluation of ANTs similarity metric performance in brain image registrationbreakdown → | 3069 |
About Gang Song
Gang Song is a scholar working on Ecological Modeling, Endocrine and Autonomic Systems and Genetics, having authored 223 papers that have together received 7.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (47 papers), Neuroscience of respiration and sleep (31 papers) and Species Distribution and Climate Change (26 papers). The work is most often cited by research in Ecological Modeling (504 citations), Cognitive Neuroscience (1.9k citations) and Radiology, Nuclear Medicine and Imaging (2.2k citations). Gang Song has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Nicholas J. Tustison, Brian Avants, James C. Gee, Philip A. Cook, Arno Klein, Fumin Lei, Yanhua Qu, Chi‐Sang Poon, Michael Stauffer and Baohua Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.
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.