Daniel L. Galvan
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 8
- CRISPR and Genetic Engineering 8
- RNA Interference and Gene Delivery 4
-
- Metabolism and Genetic Disorders 6
- Co-authors
- Farhad R. Danesh (11 shared papers)Benny Hung‐Junn Chang (7 shared papers)Shawn S. Badal (4 shared papers)Jianyin Long (7 shared papers)Gregory A. Mignery (3 shared papers)Yin Wang (2 shared papers)Paul A. Overbeek (5 shared papers)Bernard Ayanga (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Immunotherapy (2 papers)Journal of Clinical Investigation (2 papers)Molecular Therapy (2 papers)Kidney International (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Daniel L. Galvan
32 papers receiving 2.0k citations
Daniel L. Galvan's Hit Papers
Peers
Comparison fields: 5 of 118
- Nephrology 247
- Clinical Biochemistry 223
- Cancer Research 298
- Molecular Biology 1.3k
- Physiology 52
Countries citing papers authored by Daniel L. Galvan
This map shows the geographic impact of Daniel L. Galvan'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 L. Galvan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Galvan more than expected).
Fields of papers citing papers by Daniel L. Galvan
This network shows the impact of papers produced by Daniel L. Galvan. 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 L. Galvan. The network helps show where Daniel L. Galvan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Galvan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The hallmarks of mitochondrial dysfunction in chronic kidney disease Hit paper breakdown → | 2017 | 352 |
| 2 | 2016 | 306 | |
| 3 | 2008 | 280 | |
| 4 | 2016 | 151 | |
| 5 | 2009 | 101 | |
| 6 | 2019 | 88 | |
| 7 | 1999 | 75 | |
| 8 | 2019 | 72 | |
| 9 | 1999 | 67 | |
| 10 | 2017 | 66 | |
| 11 | 1998 | 65 | |
| 12 | 2009 | 62 | |
| 13 | 2011 | 53 | |
| 14 | 2002 | 34 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 30 | |
| 17 | 2020 | 27 | |
| 18 | 2021 | 24 | |
| 19 | 2012 | 21 | |
| 20 | 1998 | 21 |
About Daniel L. Galvan
Daniel L. Galvan is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Oncology and Physiology, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), CRISPR and Genetic Engineering (8 papers), Metabolism and Genetic Disorders (6 papers), Virus-based gene therapy research (6 papers), CAR-T cell therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related molecular mechanisms research (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Nephrology (247 citations), Clinical Biochemistry (223 citations), Cancer Research (298 citations), Molecular Biology (1.3k citations) and Physiology (52 citations). Daniel L. Galvan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Farhad R. Danesh, Benny Hung‐Junn Chang, Shawn S. Badal, Jianyin Long, Gregory A. Mignery, Yin Wang, Paul A. Overbeek, Bernard Ayanga, Matthew H. Wilson and Paul T. Schumacker. Their work appears in journals such as Journal of Biological Chemistry, Journal of Immunotherapy, Journal of Clinical Investigation, Molecular Therapy and Kidney International.
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.