Daniel Yoo
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Sulfur Compounds in Biology
Papers in
- Genetics 3
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Co-authors
- David J. Polhemus (3 shared papers)David J. Lefer (2 shared papers)Hiroshi Koiwaya (2 shared papers)Susanne Rasoul‐Rockenschaub (1 shared paper)Amy Scarborough (1 shared paper)Nicolas Kozakowski (1 shared paper)Zhen Li (2 shared papers)Farsad Eskandary (1 shared paper)
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (3 papers)Blood (2 papers)Journal of the American Society of Nephrology (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Canadian Journal of Physiology and Pharmacology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel Yoo
11 papers receiving 203 citations
Peers
Comparison fields: 5 of 53
- Transplantation 77
- Biochemistry 36
- Nephrology 21
- Endocrine and Autonomic Systems 19
- Cardiology and Cardiovascular Medicine 44
Countries citing papers authored by Daniel Yoo
This map shows the geographic impact of Daniel Yoo'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 Daniel Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Yoo more than expected).
Fields of papers citing papers by Daniel Yoo
This network shows the impact of papers produced by Daniel Yoo. 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 Daniel Yoo. The network helps show where Daniel Yoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Yoo, 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 | 2016 | 50 | |
| 2 | 2019 | 44 | |
| 3 | 2018 | 44 | |
| 4 | 2015 | 28 | |
| 5 | 2015 | 21 | |
| 6 | 2022 | 7 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 3 | |
| 9 | 2009 | 2 | |
| 10 | 2009 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2021 | 0 |
About Daniel Yoo
Daniel Yoo is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Rheumatology, having authored 12 papers that have together received 205 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Sulfur Compounds in Biology (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Neuroscience of respiration and sleep (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Transplantation (77 citations), Biochemistry (36 citations), Nephrology (21 citations), Endocrine and Autonomic Systems (19 citations) and Cardiology and Cardiovascular Medicine (44 citations). Daniel Yoo has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David J. Polhemus, David J. Lefer, Hiroshi Koiwaya, Susanne Rasoul‐Rockenschaub, Amy Scarborough, Nicolas Kozakowski, Zhen Li, Farsad Eskandary, Taylor Peak and Justin A. Edward. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Blood, Journal of the American Society of Nephrology, Journal of Molecular and Cellular Cardiology and Canadian Journal of Physiology and Pharmacology.
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.