Eric Song
Impact in
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Epidemiology top 10%
- Autophagy in Disease and Therapy
Papers in
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- Ferroptosis and cancer prognosis 1
- Lung Cancer Diagnosis and Treatment 1
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- Autophagy in Disease and Therapy 2
- Co-authors
- Babak Razani (4 shared papers)Trent D. Evans (4 shared papers)Xiangyu Zhang (4 shared papers)Somashubhra Bhattacharya (2 shared papers)Daping Fan (2 shared papers)Conrad C. Weihl (2 shared papers)Ismail Sergin (2 shared papers)Jan R. Crowley (2 shared papers)
- Journals
- Nature Communications (1 paper)Annals of Medicine (1 paper)Clinical Therapeutics (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Pediatric Transplantation (1 paper)
- Partner nations
- United StatesSpainBelgium
In The Last Decade
Eric Song
13 papers receiving 559 citations
Peers
Comparison fields: 5 of 86
- Physiology 45
- Epidemiology 255
- Immunology 97
- Aging 8
- Biochemistry 28
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 277 | |
| 2 | 2020 | 125 | |
| 3 | 2019 | 60 | |
| 4 | 2023 | 33 | |
| 5 | 2022 | 29 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 |
About Eric Song
Eric Song is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Nutrition and Dietetics, Molecular Biology and Physiology, having authored 14 papers that have together received 564 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (3 papers), Autophagy in Disease and Therapy (2 papers), Extracellular vesicles in disease (1 paper), Bladder and Urothelial Cancer Treatments (1 paper), Lung Cancer Research Studies (1 paper), Ferroptosis and cancer prognosis (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Physiology (45 citations), Epidemiology (255 citations), Immunology (97 citations), Aging (8 citations) and Biochemistry (28 citations). Eric Song has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Babak Razani, Trent D. Evans, Xiangyu Zhang, Somashubhra Bhattacharya, Daping Fan, Conrad C. Weihl, Ismail Sergin, Jan R. Crowley, Abhinav Diwan and Joel D. Schilling. Their work appears in journals such as Nature Communications, Annals of Medicine, Clinical Therapeutics, Arteriosclerosis Thrombosis and Vascular Biology and Pediatric Transplantation.
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.