Vanja Nagy

4.3k citations
27 papers · 3.5k · h-index 16

Impact in

Papers in

Vanja Nagy

27 papers receiving 3.5k citations

Peers

Vanja Nagy
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 728
  • Developmental Neuroscience 101
  • Cancer Research 426
  • Physiology 687
  • Immunology and Allergy 115
Replace Toshiro Kumanishi with:
Toshiro Kumanishi Japan
Hosung Jung South Korea
Michael K. E. Schäfer Germany
Michihiro Igarashi Japan
Lan Bao China
Mónica Mendes Sousa Portugal
Zhizhen Zeng United States
James W. Patrick United States
Andreas W. Sailer Switzerland
Peter G. Noakes Australia
Vanja Nagy relative to Toshiro Kumanishi Japan Toshiro Kumanishi's profile →
Citations per field
00.5×2×4×5.9×
Toshiro Kumanishi · 1×
Citations per year

Countries citing papers authored by Vanja Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Vanja Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011624
2 2002614
3 2006427
4 2000414
5 2000376
6 2000202
7 2007156
8 2015139
9 200099
10 200976
11 202074
12 202163
13 200762
14 201944
15 201540
16 201932
17 202112
18 202312
19 202011
20 202211

About Vanja Nagy

Vanja Nagy is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Physiology, Genetics and Molecular Biology, having authored 27 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (5 papers), Pain Mechanisms and Treatments (5 papers), Ion Channels and Receptors (4 papers), Alzheimer's disease research and treatments (3 papers), Hereditary Neurological Disorders (3 papers), Bone Metabolism and Diseases (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (728 citations), Developmental Neuroscience (101 citations), Cancer Research (426 citations), Physiology (687 citations) and Immunology and Allergy (115 citations). Vanja Nagy has collaborated with scholars based in Austria, United States and Canada. Frequent co-authors include Ivone Gomes, Nino Trapaidze, Lakshmi A. Devi, Bryen A. Jordan, Ankur Gupta, George W. Huntley, Ozlem Bozdagi, Suzana S. Petanceska, Sam Gandy and Josef Martin Penninger. Their work appears in journals such as Journal of Neuroscience, Trends in Molecular Medicine, Nature Communications, Journal of Neurophysiology and Nature.

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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