Ibolya Fábián

592 citations
20 papers · 390 indexed · 1 hit paper · h-index 8
Topics
Diabetes Treatment and Management (6 papers)Metabolism, Diabetes, and Cancer (4 papers)Melanoma and MAPK Pathways (3 papers)

In The Last Decade

Ibolya Fábián

19 papers receiving 382 citations

Hit Papers

Biostatistics for Parasitologists – A Primer to Quantitat...2019202620212023201950100150200250

Peers

Ibolya Fábián
Comparison fields: 5 of 69
  • Ecology 199
  • Parasitology 147
  • Molecular Biology 54
  • Small Animals 53
  • Ecology, Evolution, Behavior and Systematics 53
Replace Allison D. Tuttle with:
Allison D. Tuttle United States
Ricardo Matos United States
Carlos Cruz Mexico
K. C. Fletcher Russia
Martha Weber United States
Claire Vergneau‐Grosset Canada
Brad Lock United States
Qing Lin China
Natalie D. Mylniczenko United States
S S Bastianello South Africa
Ibolya Fábián relative to Allison D. Tuttle United States Allison D. Tuttle's profile →
Citations per field
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Allison D. Tuttle · 1×
Citations per year

Countries citing papers authored by Ibolya Fábián

Since Specialization
Citations

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

Fields of papers citing papers by Ibolya Fábián

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibolya Fábián

This figure shows the co-authorship network connecting the top 25 collaborators of Ibolya Fábián. A scholar is included among the top collaborators of Ibolya Fábián based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ibolya Fábián. Ibolya Fábián is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 0
5 7
6 1
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10 17
11 15
12 1
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14 21
15 1
16 8
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Biostatistics for Parasitologists – A Primer to Quantitative Parasitologybreakdown →
284
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About Ibolya Fábián

Ibolya Fábián is a scholar working on Endocrinology, Diabetes and Metabolism, Small Animals and Critical Care and Intensive Care Medicine, having authored 20 papers that have together received 390 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Parasitology (147 citations), Ecology (199 citations) and Small Animals (53 citations). Ibolya Fábián has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Jenő Reiczigel, Marco Marozzi, Lajos Rózsa, György Rokszin, István Wittmann, Péter Kempler, Zoltán Kiss, György Jermendy, Zoltán Szekanecz and G Molnár. Their work appears in journals such as Cancers, Trends in Parasitology and JACC. Cardiovascular imaging.

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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