Daniel Yoo
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Health Informatics top 10%
Papers in
-
- Renal Transplantation Outcomes and Treatments 6
- Genetics 3
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- David J. Polhemus (2 shared papers)Justin A. Edward (4 shared papers)Rishi K. Trivedi (1 shared paper)Gregor Bond (1 shared paper)Georg A. Böhmig (1 shared paper)David J. Lefer (1 shared paper)Traci T. Goodchild (1 shared paper)Zhen Li (1 shared paper)
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (3 papers)Blood (2 papers)Journal of the American Heart Association (1 paper)Journal of Clinical Epidemiology (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Daniel Yoo
18 papers receiving 653 citations
Peers
Comparison fields: 5 of 82
- Transplantation 228
- Health Informatics 23
- Nephrology 43
- Biochemistry 39
- Surgery 185
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 | 2021 | 165 | |
| 2 | 2020 | 72 | |
| 3 | 2016 | 56 | |
| 4 | 2019 | 54 | |
| 5 | 2020 | 50 | |
| 6 | 2021 | 49 | |
| 7 | 2018 | 47 | |
| 8 | 2023 | 43 | |
| 9 | 2024 | 31 | |
| 10 | 2015 | 29 | |
| 11 | 2024 | 26 | |
| 12 | 2015 | 22 | |
| 13 | 2022 | 9 | |
| 14 | 2016 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2009 | 2 | |
| 17 | 2009 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2026 | 0 |
About Daniel Yoo
Daniel Yoo is a scholar working on Transplantation, Genetics, Endocrine and Autonomic Systems, Biochemistry and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 664 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Renal and Vascular Pathologies (3 papers), Transplantation: Methods and Outcomes (3 papers), Sulfur Compounds in Biology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Neuroscience of respiration and sleep (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Transplantation (228 citations), Health Informatics (23 citations), Nephrology (43 citations), Biochemistry (39 citations) and Surgery (185 citations). Daniel Yoo has collaborated with scholars based in United States, France and Italy. Frequent co-authors include David J. Polhemus, Justin A. Edward, Rishi K. Trivedi, Gregor Bond, Georg A. Böhmig, David J. Lefer, Traci T. Goodchild, Zhen Li, Philip J. Kadowitz and Farsad Alexander Eskandary. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Blood, Journal of the American Heart Association, Journal of Clinical Epidemiology and Nature Medicine.
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.