Dávid Héja
Impact in
- Immunology top 10%
- Complement system in diseases
- Immune Cell Function and Interaction
- Invertebrate Immune Response Mechanisms
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
Papers in
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- Complement system in diseases 7
- Immune Cell Function and Interaction 3
- Invertebrate Immune Response Mechanisms 3
- T-cell and B-cell Immunology 2
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- Enzyme Production and Characterization 3
- Co-authors
- Gábor Pál (8 shared papers)József Dobó (5 shared papers)Péter Gál (5 shared papers)Péter Závodszky (3 shared papers)Katalin Szilágyi (2 shared papers)Róbert Szász (1 shared paper)Andrea Kocsis (2 shared papers)Veronika Harmat (3 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Nature Immunology (1 paper)PLoS Pathogens (1 paper)Transplantation and Cellular Therapy (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Dávid Héja
11 papers receiving 479 citations
Peers
Comparison fields: 5 of 63
- Immunology 322
- Hematology 90
- Nephrology 47
- Genetics 64
- Transplantation 14
Countries citing papers authored by Dávid Héja
This map shows the geographic impact of Dávid Héja'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 Dávid Héja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Héja more than expected).
Fields of papers citing papers by Dávid Héja
This network shows the impact of papers produced by Dávid Héja. 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 Dávid Héja. The network helps show where Dávid Héja may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Héja, 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 | 2012 | 175 | |
| 2 | 2012 | 72 | |
| 3 | 2013 | 59 | |
| 4 | 2021 | 58 | |
| 5 | 2011 | 32 | |
| 6 | 2022 | 28 | |
| 7 | 2019 | 24 | |
| 8 | 2017 | 18 | |
| 9 | 2018 | 11 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 0 |
About Dávid Héja
Dávid Héja is a scholar working on Immunology, Biotechnology, Molecular Biology, Genetics and Epidemiology, having authored 12 papers that have together received 482 indexed citations. Recurring topics across this work include Complement system in diseases (7 papers), Enzyme Production and Characterization (3 papers), Immune Cell Function and Interaction (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), T-cell and B-cell Immunology (2 papers), RNA and protein synthesis mechanisms (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Immunology (322 citations), Hematology (90 citations), Nephrology (47 citations), Genetics (64 citations) and Transplantation (14 citations). Dávid Héja has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Gábor Pál, József Dobó, Péter Gál, Péter Závodszky, Katalin Szilágyi, Róbert Szász, Andrea Kocsis, Veronika Harmat, Katalin A. Kékesi and Krisztián Fodor. Their work appears in journals such as Journal of Biological Chemistry, Nature Immunology, PLoS Pathogens, Transplantation and Cellular Therapy 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.