Eric Song
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- Automotive and Human Injury Biomechanics 22
-
- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 7
- Co-authors
- Akiko Iwasaki (20 shared papers)W. Mark Saltzman (16 shared papers)Tianyang Mao (5 shared papers)Huiping Dong (3 shared papers)Robert Homer (2 shared papers)Jean‐Léon Thomas (5 shared papers)Lígia Simões Braga Boisserand (4 shared papers)Kari Alitalo (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)SAE technical papers on CD-ROM/SAE technical paper series (7 papers)Nature Communications (4 papers)Biomaterials (4 papers)Journal of Controlled Release (4 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Eric Song
77 papers receiving 3.5k citations
Eric Song's Hit Papers
Peers
Comparison fields: 5 of 146
- Infectious Diseases 574
- Immunology 617
- Modeling and Simulation 126
- Biomaterials 348
- Pharmaceutical Science 144
Countries citing papers authored by Eric Song
This map shows the geographic impact of Eric 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 Eric Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Song more than expected).
Fields of papers citing papers by Eric Song
This network shows the impact of papers produced by Eric 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 Eric Song. The network helps show where Eric Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VEGF-C-driven lymphatic drainage enables immunosurveillance of brain tumours Hit paper breakdown → | 2020 | 380 |
| 2 | 2020 | 273 | |
| 3 | 2019 | 237 | |
| 4 | 2015 | 172 | |
| 5 | 2018 | 140 | |
| 6 | 2018 | 136 | |
| 7 | 2021 | 134 | |
| 8 | 2017 | 118 | |
| 9 | 2021 | 107 | |
| 10 | 2019 | 106 | |
| 11 | 2019 | 97 | |
| 12 | 2019 | 95 | |
| 13 | 2017 | 88 | |
| 14 | 2019 | 75 | |
| 15 | 2012 | 75 | |
| 16 | 2016 | 74 | |
| 17 | 2021 | 73 | |
| 18 | 2016 | 71 | |
| 19 | 1998 | 67 | |
| 20 | 2018 | 67 |
About Eric Song
Eric Song is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Biomaterials and Immunology, having authored 87 papers that have together received 3.6k indexed citations. Recurring topics across this work include Automotive and Human Injury Biomechanics (22 papers), RNA Interference and Gene Delivery (11 papers), Nanoparticle-Based Drug Delivery (11 papers), Trauma Management and Diagnosis (7 papers), Traffic and Road Safety (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Transportation Safety and Impact Analysis (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Infectious Diseases (574 citations), Immunology (617 citations), Modeling and Simulation (126 citations), Biomaterials (348 citations) and Pharmaceutical Science (144 citations). Eric Song has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Akiko Iwasaki, W. Mark Saltzman, Tianyang Mao, Huiping Dong, Robert Homer, Jean‐Léon Thomas, Lígia Simões Braga Boisserand, Kari Alitalo, Salli Antila and Patrick Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, SAE technical papers on CD-ROM/SAE technical paper series, Nature Communications, Biomaterials and Journal of Controlled Release.
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.