Ágnes Nagy

1.7k citations
64 papers · 1.4k · h-index 17

Impact in

Papers in

Ágnes Nagy

58 papers receiving 1.3k citations

Peers

Ágnes Nagy
Comparison fields: 5 of 112
  • Physiology 416
  • Cellular and Molecular Neuroscience 545
  • Cell Biology 197
  • Molecular Biology 722
  • Clinical Biochemistry 47
Replace A. G. Prat with:
A. G. Prat United States
Jean‐Yves Lapointe Canada
Nicholas A. Delamere United States
Jean‐Pierre Mauger France
Stanley M. Goldin United States
Andrew P. Braun Canada
Alexandra M. Parma United States
Terry D. Hexum United States
Prakash V. Sulakhe Canada
Claudia Rose United Kingdom
Ágnes Nagy relative to A. G. Prat United States A. G. Prat's profile →
Citations per field
00.5×10×20×30×35×
A. G. Prat · 1×
Citations per year

Countries citing papers authored by Ágnes Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984313
2 1976190
3 1986116
4 198373
5 199953
6 199052
7 199650
8 198745
9 199242
10 198939
11 198333
12 199829
13 198629
14 200828
15 199725
16 197719
17 200219
18 199616
19 202214
20 201214

About Ágnes Nagy

Ágnes Nagy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Plant Science and Oncology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Adenosine and Purinergic Signaling (7 papers), Photoreceptor and optogenetics research (6 papers), Plant-Microbe Interactions and Immunity (5 papers), Plant Stress Responses and Tolerance (4 papers), Mitochondrial Function and Pathology (4 papers), Lipid Membrane Structure and Behavior (4 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Physiology (416 citations), Cellular and Molecular Neuroscience (545 citations), Cell Biology (197 citations), Molecular Biology (722 citations) and Clinical Biochemistry (47 citations). Ágnes Nagy has collaborated with scholars based in Hungary, United States and Russia. Frequent co-authors include Antonio V. Delgado‐Escueta, Aileen F. Knowles, R. Roy Baker, V. P. Whittaker, Stephen J. Morris, Carolyn R. Houser, Debora B. Farber, Dénes V. Ágoston, Nancy Y. Walton and David M. Treiman. Their work appears in journals such as Journal of Neurochemistry, International Journal of Molecular Sciences, Experimental Eye Research, Journal of Biological Chemistry and Plants.

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.

Explore authors with similar magnitude of impact