Bálint Nagy

1.6k citations
53 papers · 1.3k · h-index 18

Impact in

    • Pregnancy and preeclampsia studies
    • Gestational Diabetes Research and Management
  • Immunology top 5%
    • Reproductive System and Pregnancy
    • Atherosclerosis and Cardiovascular Diseases

Papers in

Bálint Nagy

52 papers receiving 1.2k citations

Peers

Bálint Nagy
Comparison fields: 5 of 80
  • Obstetrics and Gynecology 507
  • Immunology 442
  • Pediatrics, Perinatology and Child Health 404
  • Cancer Research 150
  • Oncology 219
Replace Ilona Hromadníková with:
Ilona Hromadníková Czechia
Simona Cardaropoli Italy
M. Burk Germany
Vladimir Yutkin Israel
Sahar Sibani Canada
Su‐Cheng Huang Taiwan
Zhen Yan United States
Beatriz Lifschitz‐Mercer Israel
Amal Kanbour‐Shakir United States
Hidekazu Oi Japan
Bálint Nagy relative to Ilona Hromadníková Czechia Ilona Hromadníková's profile →
Citations per field
00.5×2.8×
Ilona Hromadníková · 1×
Citations per year

Countries citing papers authored by Bálint Nagy

Since Specialization
Citations

This map shows the geographic impact of Bálint Nagy'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 Bálint Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bálint Nagy more than expected).

Fields of papers citing papers by Bálint Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bálint Nagy. 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 Bálint Nagy. The network helps show where Bálint Nagy may publish in the future.

Co-authors

The 25 scholars most cited alongside Bálint Nagy, 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 Bálint Nagy Line = papers co-authored together Bálint Nagy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001268
2 200389
3 200889
4 201478
5 201075
6 200856
7 200648
8 200947
9 200835
10 200832
11 200430
12 200827
13 200626
14 200726
15 201323
16 201322
17 200922
18 201217
19 200117
20 201516

About Bálint Nagy

Bálint Nagy is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology, Cancer Research and Immunology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (22 papers), Birth, Development, and Health (13 papers), Prenatal Screening and Diagnostics (11 papers), MicroRNA in disease regulation (8 papers), Reproductive System and Pregnancy (8 papers), Lymphoma Diagnosis and Treatment (3 papers), Parvovirus B19 Infection Studies (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Obstetrics and Gynecology (507 citations), Immunology (442 citations), Pediatrics, Perinatology and Child Health (404 citations), Cancer Research (150 citations) and Oncology (219 citations). Bálint Nagy has collaborated with scholars based in Hungary, United States and Finland. Frequent co-authors include János Rigó, Attila Molvarec, Zoltán Prohászka, Ákos Kalina, Laura Horváth, J. Duba, Albert Császár, Csaba Szalai, T Szabó and Jan Helge Seglem Mortensen. Their work appears in journals such as Clinica Chimica Acta, Prenatal Diagnosis, European Journal of Obstetrics & Gynecology and Reproductive Biology, Hypertension Research and Pregnancy Hypertension.

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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