Danny Luan
Impact in
-
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Dietary Effects on Health
-
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
-
- Renal and related cancers 2
- Oncology 4
- Co-authors
- Brian F. Zamarron (2 shared papers)Gabriel Martinez-Santibañez (2 shared papers)Carey N. Lumeng (2 shared papers)Kanakadurga Singer (2 shared papers)Lynn M. Geletka (2 shared papers)Lindsey A. Muir (2 shared papers)Kae Won Cho (2 shared papers)Taleen Mergian (2 shared papers)
- Journals
- Blood (4 papers)Diabetes (2 papers)Obesity (1 paper)Circulation (1 paper)European Journal of Nutrition (1 paper)
- Partner nations
- United StatesCosta RicaSouth Korea
In The Last Decade
Danny Luan
22 papers receiving 304 citations
Peers
Comparison fields: 5 of 62
- Physiology 85
- Epidemiology 101
- Transplantation 7
- Immunology 51
- Endocrine and Autonomic Systems 12
Countries citing papers authored by Danny Luan
This map shows the geographic impact of Danny Luan'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 Danny Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Luan more than expected).
Fields of papers citing papers by Danny Luan
This network shows the impact of papers produced by Danny Luan. 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 Danny Luan. The network helps show where Danny Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Luan, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 124 | |
| 2 | Insulin-like growth factor II overexpression in myoblasts induces phenotypic changes typical of the malignant phenotype. | 1995 | 27 |
| 3 | 2015 | 26 | |
| 4 | 2022 | 23 | |
| 5 | 2019 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2018 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Danny Luan
Danny Luan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 306 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Adipose Tissue and Metabolism (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Renal and related cancers (2 papers), Multiple Myeloma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Physiology (85 citations), Epidemiology (101 citations), Transplantation (7 citations), Immunology (51 citations) and Endocrine and Autonomic Systems (12 citations). Danny Luan has collaborated with scholars based in United States, Costa Rica and South Korea. Frequent co-authors include Brian F. Zamarron, Gabriel Martinez-Santibañez, Carey N. Lumeng, Kanakadurga Singer, Lynn M. Geletka, Lindsey A. Muir, Kae Won Cho, Taleen Mergian, Jennifer L. DelProposto and Ana Baylín. Their work appears in journals such as Blood, Diabetes, Obesity, Circulation and European Journal of Nutrition.
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.