Albert Császár
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Surgery 21
- Lipoproteins and Cardiovascular Health 18
- Immunology 10
- Atherosclerosis and Cardiovascular Diseases 5
- Complement system in diseases 2
- Co-authors
- Csaba Szalai (10 shared papers)Zoltán Prohászka (9 shared papers)J. Duba (7 shared papers)Ákos Kalina (5 shared papers)T Szabó (2 shared papers)Laura Horváth (4 shared papers)Bálint Nagy (2 shared papers)László Romics (10 shared papers)
In The Last Decade
Albert Császár
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 167
- Immunology 206
- Oncology 172
- Cardiology and Cardiovascular Medicine 135
- Virology 28
Countries citing papers authored by Albert Császár
This map shows the geographic impact of Albert Császár'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 Albert Császár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Császár more than expected).
Fields of papers citing papers by Albert Császár
This network shows the impact of papers produced by Albert Császár. 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 Albert Császár. The network helps show where Albert Császár may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Császár, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 270 | |
| 2 | 2004 | 105 | |
| 3 | 2001 | 60 | |
| 4 | 1999 | 51 | |
| 5 | 1998 | 49 | |
| 6 | 1999 | 47 | |
| 7 | 2000 | 43 | |
| 8 | 1995 | 36 | |
| 9 | 1998 | 27 | |
| 10 | 1997 | 27 | |
| 11 | 2001 | 26 | |
| 12 | 2000 | 24 | |
| 13 | 2000 | 24 | |
| 14 | 1997 | 24 | |
| 15 | 1998 | 24 | |
| 16 | 2011 | 20 | |
| 17 | 2001 | 17 | |
| 18 | 2002 | 15 | |
| 19 | 2012 | 15 | |
| 20 | 1995 | 14 |
About Albert Császár
Albert Császár is a scholar working on Surgery, Immunology, Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Cancer, Lipids, and Metabolism (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Diabetes and associated disorders (2 papers), Hormonal Regulation and Hypertension (2 papers), Complement system in diseases (2 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (167 citations), Immunology (206 citations), Oncology (172 citations), Cardiology and Cardiovascular Medicine (135 citations) and Virology (28 citations). Albert Császár has collaborated with scholars based in Hungary, Germany and Austria. Frequent co-authors include Csaba Szalai, Zoltán Prohászka, J. Duba, Ákos Kalina, T Szabó, Laura Horváth, Bálint Nagy, László Romics, George Füst and István Karádi. Their work appears in journals such as Clinica Chimica Acta, European Journal of Clinical Investigation, Atherosclerosis, Acta Haematologica and Acta Neurologica Scandinavica.
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.