Gábor Pál
Impact in
- Immunology top 5%
- Complement system in diseases
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
- Immunology 25
- Complement system in diseases 23
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- Monoclonal and Polyclonal Antibodies Research 14
- Co-authors
- Péter Gál (28 shared papers)József Dobó (21 shared papers)Anthony A. Kossiakoff (8 shared papers)Péter Závodszky (9 shared papers)László Gráf (8 shared papers)Dávid Héja (8 shared papers)Róbert Szász (4 shared papers)Sachdev S. Sidhu (4 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)The Journal of Immunology (5 papers)Journal of Molecular Biology (4 papers)Frontiers in Immunology (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Gábor Pál
64 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Immunology 796
- Nephrology 223
- Hematology 291
- Genetics 182
- Molecular Biology 729
Countries citing papers authored by Gábor Pál
This map shows the geographic impact of Gábor Pál'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 Gábor Pál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Pál more than expected).
Fields of papers citing papers by Gábor Pál
This network shows the impact of papers produced by Gábor Pál. 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 Gábor Pál. The network helps show where Gábor Pál may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor Pál, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 190 | |
| 2 | 2020 | 145 | |
| 3 | 2016 | 109 | |
| 4 | 2011 | 109 | |
| 5 | 2006 | 98 | |
| 6 | 1998 | 96 | |
| 7 | 2016 | 86 | |
| 8 | 2012 | 72 | |
| 9 | 2010 | 67 | |
| 10 | 2013 | 64 | |
| 11 | 2011 | 55 | |
| 12 | 2002 | 54 | |
| 13 | 2015 | 45 | |
| 14 | 2003 | 44 | |
| 15 | 1998 | 43 | |
| 16 | 1999 | 41 | |
| 17 | 2003 | 39 | |
| 18 | 2016 | 38 | |
| 19 | 2005 | 33 | |
| 20 | 2018 | 32 |
About Gábor Pál
Gábor Pál is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology and Cell Biology, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complement system in diseases (23 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Biochemical and Structural Characterization (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Glycosylation and Glycoproteins Research (8 papers), RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Immunology (796 citations), Nephrology (223 citations), Hematology (291 citations), Genetics (182 citations) and Molecular Biology (729 citations). Gábor Pál has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Péter Gál, József Dobó, Anthony A. Kossiakoff, Péter Závodszky, László Gráf, Dávid Héja, Róbert Szász, Sachdev S. Sidhu, András Patthy and Andrea Kocsis. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Journal of Molecular Biology, Frontiers in Immunology and Proceedings of the National Academy of Sciences.
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.