Daniel Albert
Impact in
- Nephrology top 0.5%
- Gout, Hyperuricemia, Uric Acid
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research
Papers in
- Rheumatology 26
- Systemic Lupus Erythematosus Research 18
- Rheumatoid Arthritis Research and Therapies 8
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- Biochemical and Molecular Research 7
- RNA modifications and cancer 7
- Co-authors
- James P. Guevara (5 shared papers)Seoyoung C. Kim (3 shared papers)Hyon K. Choi (3 shared papers)Kyoung Mi Kim (2 shared papers)Daniel F. Heitjan (2 shared papers)Robert A. Eisenberg (4 shared papers)Nortin M. Hadler (5 shared papers)James F. Fries (3 shared papers)
- Journals
- Arthritis Care & Research (5 papers)Journal of Cellular Physiology (4 papers)Physiology & Behavior (4 papers)Experimental Cell Research (3 papers)Medical Decision Making (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel Albert
89 papers receiving 3.0k citations
Daniel Albert's Hit Papers
Peers
Comparison fields: 5 of 135
- Nephrology 1.0k
- Rheumatology 1.2k
- Pathology and Forensic Medicine 667
- Immunology 539
- Internal Medicine 75
Countries citing papers authored by Daniel Albert
This map shows the geographic impact of Daniel Albert'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 Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Albert more than expected).
Fields of papers citing papers by Daniel Albert
This network shows the impact of papers produced by Daniel Albert. 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 Albert. The network helps show where Daniel Albert may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Albert, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hyperuricemia and coronary heart disease: A systematic review and meta‐analysis Hit paper breakdown → | 2010 | 516 |
| 2 | 2009 | 360 | |
| 3 | 1982 | 311 | |
| 4 | 1982 | 248 | |
| 5 | 2008 | 172 | |
| 6 | 2005 | 122 | |
| 7 | 1988 | 94 | |
| 8 | 2006 | 87 | |
| 9 | 2016 | 64 | |
| 10 | 1979 | 62 | |
| 11 | 1978 | 60 | |
| 12 | 2000 | 58 | |
| 13 | 2008 | 53 | |
| 14 | 1999 | 47 | |
| 15 | 1985 | 45 | |
| 16 | 1988 | 43 | |
| 17 | 1995 | 41 | |
| 18 | 1980 | 37 | |
| 19 | 2006 | 35 | |
| 20 | 1995 | 34 |
About Daniel Albert
Daniel Albert is a scholar working on Rheumatology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (18 papers), Vasculitis and related conditions (8 papers), Chronic Lymphocytic Leukemia Research (8 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Biochemical and Molecular Research (7 papers), RNA modifications and cancer (7 papers), Autoimmune and Inflammatory Disorders Research (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Nephrology (1.0k citations), Rheumatology (1.2k citations), Pathology and Forensic Medicine (667 citations), Immunology (539 citations) and Internal Medicine (75 citations). Daniel Albert has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James P. Guevara, Seoyoung C. Kim, Hyon K. Choi, Kyoung Mi Kim, Daniel F. Heitjan, Robert A. Eisenberg, Nortin M. Hadler, James F. Fries, John H. Klippel and Evelyn V. Hess. Their work appears in journals such as Arthritis Care & Research, Journal of Cellular Physiology, Physiology & Behavior, Experimental Cell Research and Medical Decision Making.
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.