Daniel Albert
- Nephrology top 0.5%
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research 18
- Rheumatoid Arthritis Research and Therapies 8
- Immunology top 5%
- Internal Medicine top 5%
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- Chronic Lymphocytic Leukemia Research 8
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- Vasculitis and related conditions 8
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- Biochemical and Molecular Research 7
- RNA modifications and cancer 7
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- Autoimmune and Inflammatory Disorders Research 7
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- Cytomegalovirus and herpesvirus research 6
- Co-authors
- James P. GuevaraSeoyoung C. KimHyon K. ChoiKyoung Mi KimDaniel F. HeitjanRobert A. EisenbergNortin M. HadlerJames F. Fries
- Journals
- Arthritis Care & Research (5 papers)Journal of Cellular Physiology (4 papers)Physiology & Behavior (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel Albert
89 papers receiving 3.0k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2022 | 28 | |
| 4 | 2016 | 64 | |
| 5 | 2012 | 3 | |
| 6 | Hyperuricemia and coronary heart disease: A systematic review and meta‐analysisbreakdown → | 2010 | 516 |
| 7 | 2009 | 360 | |
| 8 | 2008 | 172 | |
| 9 | 2008 | 2 | |
| 10 | 2006 | 87 | |
| 11 | 2005 | 122 | |
| 12 | 2005 | 2 | |
| 13 | 2005 | 33 | |
| 14 | 2003 | 1 | |
| 15 | 2002 | 17 | |
| 16 | 1998 | 2 | |
| 17 | 1993 | 2 | |
| 18 | 1989 | 1 | |
| 19 | 1988 | 5 | |
| 20 | 1988 | 94 |
About Daniel Albert
Daniel Albert is a scholar working on Rheumatology, Genetics, Nephrology, Hematology and Physiology, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (18 papers), Chronic Lymphocytic Leukemia Research (8 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Vasculitis and related conditions (8 papers), Biochemical and Molecular Research (7 papers), Autoimmune and Inflammatory Disorders Research (7 papers), RNA modifications and cancer (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, Eugene V. Barnett and Bevra H. Hahn. 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.