Csilla Nagy

493 citations
19 papers · 308 · h-index 12

Impact in

Papers in

Csilla Nagy

16 papers receiving 296 citations

Peers

Csilla Nagy
Comparison fields: 5 of 71
  • Modeling and Simulation 58
  • Health 99
  • Family Practice 11
  • General Health Professions 105
  • Parasitology 15
Replace Y-Ling Chi with:
Y-Ling Chi United Kingdom
Judy Y. Chen United States
Eddie Mukooyo Uganda
Andrew Marvin Kanyike Uganda
Kayur Mehta India
Chukwudi A Nnaji South Africa
Darren Hunt United States
Júlia Almeida Calazans Brazil
Ahmad Fuady Indonesia
Mengyun Zheng China
Csilla Nagy relative to Y-Ling Chi United Kingdom Y-Ling Chi's profile →
Citations per field
00.5×3.8×
Y-Ling Chi · 1×
Citations per year

Countries citing papers authored by Csilla Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Csilla Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202048
2 201043
3 201939
4 201128
5 202122
6 201620
7 201319
8 202219
9 201315
10 201814
11 202313
12 201713
13 20206
14 20204
15 20213
16 20212
17
Helyi népszavazások Magyarországon
20040
18
Cystic mucinous hyperplasia of gallbladder in dogs. Case study.
20100
19 20090

About Csilla Nagy

Csilla Nagy is a scholar working on Health, Public Health, Environmental and Occupational Health, General Health Professions, Economics and Econometrics and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 308 indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), Nutritional Studies and Diet (3 papers), Global Health Care Issues (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), COVID-19 and healthcare impacts (2 papers), COVID-19 epidemiological studies (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Health (99 citations), Family Practice (11 citations), General Health Professions (105 citations) and Parasitology (15 citations). Csilla Nagy has collaborated with scholars based in Hungary, United Kingdom and Serbia. Frequent co-authors include Attila Juhász, Linda Beale, Róza Ádány, Anna Páldy, Beatrix Oroszi, J Horváth, Zoltán Papp, János Sándor, László Kőrösi and Martin McKee. Their work appears in journals such as International Journal of Environmental Research and Public Health, European Journal of Public Health, Frontiers in Pharmacology, GeroScience and Scientific Reports.

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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