Anna Bajnok

428 citations
22 papers · 320 · h-index 10

Impact in

    • Pregnancy and preeclampsia studies
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Reproductive System and Pregnancy 3
    • Systemic Lupus Erythematosus Research 3

Anna Bajnok

22 papers receiving 318 citations

Peers

Anna Bajnok
Comparison fields: 5 of 77
  • Obstetrics and Gynecology 70
  • Immunology 159
  • Sensory Systems 20
  • Biological Psychiatry 9
  • Physiology 16
Replace Terri J. Harford with:
Terri J. Harford United States
Cong Zhao China
Kumiko Fujisawa Japan
Olivia Larsson Sweden
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Rama Satyanarayana Raju Kalidhindi United States
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Citations per field
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Citations per year

Countries citing papers authored by Anna Bajnok

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anna Bajnok Line = papers co-authored together Anna Bajnok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 201551
3 201240
4 201424
5 201723
6 201720
7 201418
8 201413
9 201311
10 201310
11 20188
12 20166
13 20166
14 20174
15 20144
16 20184
17 20243
18 20163
19 20232
20 20221

About Anna Bajnok

Anna Bajnok is a scholar working on Immunology, Rheumatology, Genetics, Molecular Biology and Epidemiology, having authored 22 papers that have together received 320 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Pregnancy and preeclampsia studies (3 papers), Reproductive System and Pregnancy (3 papers), Systemic Lupus Erythematosus Research (3 papers), Thyroid Disorders and Treatments (2 papers), Neonatal and fetal brain pathology (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Obstetrics and Gynecology (70 citations), Immunology (159 citations), Sensory Systems (20 citations), Biological Psychiatry (9 citations) and Physiology (16 citations). Anna Bajnok has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Gergely Toldi, János Rigó, Barna Vásárhelyi, Attila Balog, Tivadar Tulassay, László Kovács, Ambrus Kaposi, Attila Molvarec, Shigeru Saito and Tomoko Shima. Their work appears in journals such as Immunobiology, Cytometry Part A, Frontiers in Immunology, Journal of Neuroinflammation and International Journal of Molecular 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.

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