I. Nagy

6.0k total citations
202 papers, 4.6k citations indexed

About

I. Nagy is a scholar working on Physiology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, I. Nagy has authored 202 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Physiology, 41 papers in Cellular and Molecular Neuroscience and 37 papers in Sensory Systems. Recurrent topics in I. Nagy's work include Pain Mechanisms and Treatments (44 papers), Ion Channels and Receptors (37 papers) and Neuropeptides and Animal Physiology (22 papers). I. Nagy is often cited by papers focused on Pain Mechanisms and Treatments (44 papers), Ion Channels and Receptors (37 papers) and Neuropeptides and Animal Physiology (22 papers). I. Nagy collaborates with scholars based in Hungary, United Kingdom and United States. I. Nagy's co-authors include László Urbán, John A. Pojman, Péter Sántha, H P Rang, John P. White, Francisco Cruz, Clifford J. Woolf, Mario Cibelli, Stuart Bevan and Jatinder Ahluwalia and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

I. Nagy

195 papers receiving 4.5k citations

Peers

I. Nagy
Comparison fields: 5 of 161
  • Physiology 1.4k
  • Sensory Systems 1.3k
  • Cellular and Molecular Neuroscience 976
  • Pharmacology 793
  • Molecular Biology 766
Replace Takayuki Maruyama with:
Takayuki Maruyama Japan
József Németh Hungary
Akio Sato Japan
Atsushi Takeda Japan
William C. Cole Canada
Yoshihiro Nakata Japan
Koichiro Kawashima Japan
Svetlana Ivanova United States
J. Marc Simard United States
Theodore J. Price United States
Takayuki Maruyama Japan View profile →
Citations per field, relative to I. Nagy
I. Nagy · 1×
Citations per year, relative to I. Nagy
I. Nagy · 1×

Countries citing papers authored by I. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by I. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of I. Nagy. A scholar is included among the top collaborators of I. Nagy 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 I. Nagy. I. Nagy 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
# Work Indexed citations
1 2
2 3
3 31
4 9
5 12
6 3
7 0
8 52
9 2
10 6
11 5
12 116
13
P--type orbits in the Pluto--Charon system
2
14
A pegilált interferon-alfa-2a-és ribavirinkezelés hatékonysága krónikus C-vírus-hepatitises betegeken - Az első hazai tapasztalatok egy multicentrikus, nyílt, prospektív vizsgálat alapján
2
15 62
16 7
17 2
18
Activation of haemostasis by combined chemotherapy.
2
19
Sunspot proper motions in the western part of Hale region 16864 (May 25 - 29, 1980).
1
20
vjJ Ordering in alloy CujAu.
4

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

Rankless by CCL
2026