Anna Bajnok
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
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- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- Gergely Toldi (19 shared papers)János Rigó (3 shared papers)Csaba Orbán (12 shared papers)Barna Vásárhelyi (7 shared papers)Attila Balog (5 shared papers)Tivadar Tulassay (6 shared papers)László Kovács (3 shared papers)Ambrus Kaposi (4 shared papers)
- Journals
- Immunobiology (3 papers)Cytometry Part A (3 papers)Journal of Neuroinflammation (2 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- HungaryUnited KingdomJapan
In The Last Decade
Anna Bajnok
22 papers receiving 322 citations
Peers
Comparison fields: 5 of 72
- Obstetrics and Gynecology 64
- Immunology 126
- Sensory Systems 19
- Biological Psychiatry 9
- Physiology 16
Countries citing papers authored by Anna Bajnok
This map shows the geographic impact of Anna Bajnok'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 Anna Bajnok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Bajnok more than expected).
Fields of papers citing papers by Anna Bajnok
This network shows the impact of papers produced by Anna Bajnok. 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 Anna Bajnok. The network helps show where Anna Bajnok may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Bajnok, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2015 | 53 | |
| 3 | 2012 | 40 | |
| 4 | 2014 | 24 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 20 | |
| 7 | 2014 | 18 | |
| 8 | 2014 | 13 | |
| 9 | 2013 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2016 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2018 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 1 |
About Anna Bajnok
Anna Bajnok is a scholar working on Immunology, Molecular Biology, Rheumatology, Obstetrics and Gynecology and Sensory Systems, having authored 22 papers that have together received 323 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Pregnancy and preeclampsia studies (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Ion Channels and Receptors (2 papers), Thyroid Disorders and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (64 citations), Immunology (126 citations), Sensory Systems (19 citations), Biological Psychiatry (9 citations) and Physiology (16 citations). Anna Bajnok has collaborated with scholars based in Hungary, United Kingdom and Japan. Frequent co-authors include Gergely Toldi, János Rigó, Csaba Orbán, Barna Vásárhelyi, Attila Balog, Tivadar Tulassay, László Kovács, Ambrus Kaposi, Tomoko Shima and Attila Molvarec. Their work appears in journals such as Immunobiology, Cytometry Part A, Journal of Neuroinflammation, International Journal of Molecular Sciences and Frontiers in Immunology.
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.