Joseph Song
- Economics and Econometrics top 5%
- Molecular Biology
- General Economics, Econometrics and Finance top 5%
- General Health Professions top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Ayşegül ŞahinGiovanni L. ViolanteKirill A. MartemyanovGabriela TopaBart HobijnMihwa KimH. Thomas LeeRobert W. Rich
- Topics
- Labor market dynamics and wage inequality (6 papers)Cellular transport and secretion (5 papers)Receptor Mechanisms and Signaling (5 papers)
- Cited by
- Developmental NeuroscienceGeneral Economics, Econometrics and FinanceEconomics and Econometrics
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Joseph Song
24 papers receiving 795 citations
Peers
Comparison fields: 5 of 104
- Economics and Econometrics 295
- Molecular Biology 249
- General Economics, Econometrics and Finance 140
- General Health Professions 101
- Cellular and Molecular Neuroscience 90
Countries citing papers authored by Joseph Song
This map shows the geographic impact of Joseph 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 Joseph Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Song more than expected).
Fields of papers citing papers by Joseph Song
This network shows the impact of papers produced by Joseph 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 Joseph Song. The network helps show where Joseph Song may publish in the future.
Co-authorship network of co-authors of Joseph Song
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Song. A scholar is included among the top collaborators of Joseph 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 Joseph Song. Joseph 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 | 2 | |
| 3 | 10 | |
| 4 | 15 | |
| 5 | 68 | |
| 6 | 160 | |
| 7 | 22 | |
| 8 | 6 | |
| 9 | The unemployment gender gap during the 2007 recession | 41 |
| 10 | Is the worst over? Economic indexes and the course of the recession in New York and New Jersey | 1 |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 43 | |
| 14 | 15 | |
| 15 | 84 | |
| 16 | 56 | |
| 17 | 38 | |
| 18 | 24 | |
| 19 | 54 | |
| 20 | 54 |
About Joseph Song
Joseph Song is a scholar working on Developmental Neuroscience, Cell Biology and Economics and Econometrics, having authored 25 papers that have together received 825 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (6 papers), Cellular transport and secretion (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), General Economics, Econometrics and Finance (140 citations) and Economics and Econometrics (295 citations). Joseph Song has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ayşegül Şahin, Giovanni L. Violante, Kirill A. Martemyanov, Gabriela Topa, Bart Hobijn, Mihwa Kim, H. Thomas Lee, Robert W. Rich, Joseph Tracy and Sean W. C. Chen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and American Economic Review.
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.