Júlia Koller

35 papers receiving 563 citations

Peers

Júlia Koller
Comparison fields: 5 of 104
  • Endocrine and Autonomic Systems 78
  • Behavioral Neuroscience 20
  • Cellular and Molecular Neuroscience 80
  • Computational Theory and Mathematics 73
  • Cell Biology 47
Replace Cathalijn H. C. Leenaars with:
Cathalijn H. C. Leenaars Netherlands
Hui Hua Chang Taiwan
Xinan Liu China
Tatjana Petrov Germany
Young United States
David I. Lewis United Kingdom
Nancy Hall United States
Jiahe Zhang China
Johannes Steffen Germany
Anant Jain United States
Júlia Koller relative to Cathalijn H. C. Leenaars Netherlands Cathalijn H. C. Leenaars's profile →
Citations per field
00.5×1.5×2×2.4×
Cathalijn H. C. Leenaars · 1×
Citations per year

Countries citing papers authored by Júlia Koller

Since Specialization
Citations

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

Fields of papers citing papers by Júlia Koller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 201792
3 201774
4 200669
5 201624
6 202323
7 202120
8 202019
9 202019
10 202117
11 201115
12 201015
13 201115
14 201913
15 202112
16 20229
17 20159
18 20078
19 20225
20 20164

About Júlia Koller

Júlia Koller is a scholar working on Endocrine and Autonomic Systems, Sociology and Political Science, Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 586 indexed citations. Recurring topics across this work include Sociology and Education Studies (5 papers), Education Methods and Technologies (4 papers), Regulation of Appetite and Obesity (4 papers), Adipose Tissue and Metabolism (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), EEG and Brain-Computer Interfaces (2 papers), Pancreatic function and diabetes (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (78 citations), Behavioral Neuroscience (20 citations), Cellular and Molecular Neuroscience (80 citations), Computational Theory and Mathematics (73 citations) and Cell Biology (47 citations). Júlia Koller has collaborated with scholars based in Hungary, Germany and Australia. Frequent co-authors include Krisztián Búza, Ladislav Peška, Herbert Herzog, Olivier Chételat, Jean Luprano, J. Solà, Lei Zhang, Chi Kin Ip, Yue Qi and Manfred Kayser. Their work appears in journals such as Neuropeptides, Cell Metabolism, Stem Cell Research & Therapy, Computer Methods and Programs in Biomedicine and Molecular Metabolism.

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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