J.I. Nagy

15.7k total citations · 1 hit paper
221 papers, 12.9k citations indexed

About

J.I. Nagy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, J.I. Nagy has authored 221 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 114 papers in Cellular and Molecular Neuroscience and 43 papers in Physiology. Recurrent topics in J.I. Nagy's work include Connexins and lens biology (103 papers), Neuroscience and Neuropharmacology Research (71 papers) and Nicotinic Acetylcholine Receptors Study (42 papers). J.I. Nagy is often cited by papers focused on Connexins and lens biology (103 papers), Neuroscience and Neuropharmacology Research (71 papers) and Nicotinic Acetylcholine Receptors Study (42 papers). J.I. Nagy collaborates with scholars based in Canada, United States and United Kingdom. J.I. Nagy's co-authors include John E. Rash, Elliot L. Hertzberg, Takenori Yamamoto, Stephen P. Hunt, H.C. Fibiger, Thomas Yasumura, Xinbo Li, Wei Li, William A. Staines and Peter E. Daddona and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J.I. Nagy

219 papers receiving 12.6k citations

Hit Papers

The nucleus basalis magnocellularis: The origin of a chol... 1980 2026 1995 2010 1980 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.I. Nagy Canada 63 7.9k 6.6k 2.7k 1.2k 1.2k 221 12.9k
Soren Impey United States 54 7.0k 0.9× 5.4k 0.8× 1.6k 0.6× 1.1k 0.9× 1.4k 1.2× 81 13.1k
Robert Elde United States 60 5.6k 0.7× 8.6k 1.3× 3.6k 1.3× 2.0k 1.6× 662 0.6× 144 13.3k
Hilmar Bading Germany 52 8.1k 1.0× 8.2k 1.2× 1.8k 0.7× 574 0.5× 1.4k 1.2× 134 13.9k
Annette Dolphin United Kingdom 69 11.4k 1.4× 9.5k 1.4× 3.1k 1.1× 372 0.3× 1.0k 0.9× 254 15.5k
Amy B. MacDermott United States 44 5.2k 0.7× 5.6k 0.9× 2.3k 0.8× 586 0.5× 1.0k 0.9× 77 8.5k
Serge N. Schiffmann Belgium 58 6.2k 0.8× 5.9k 0.9× 871 0.3× 887 0.7× 1.2k 1.1× 175 12.5k
Mike Dragunow New Zealand 72 7.4k 0.9× 9.2k 1.4× 2.7k 1.0× 887 0.7× 1.7k 1.5× 231 18.2k
Hiroshi Kiyama Japan 59 6.3k 0.8× 5.7k 0.9× 2.5k 0.9× 982 0.8× 480 0.4× 352 13.6k
Brian F. O’Dowd Canada 78 11.7k 1.5× 11.1k 1.7× 1.8k 0.7× 1.3k 1.0× 1.2k 1.0× 187 19.2k
Sadao Shiosaka Japan 55 4.7k 0.6× 6.5k 1.0× 1.6k 0.6× 1.8k 1.5× 974 0.8× 269 11.9k

Countries citing papers authored by J.I. Nagy

Since Specialization
Citations

This map shows the geographic impact of J.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 J.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 J.I. Nagy more than expected).

Fields of papers citing papers by J.I. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J.I. Nagy. A scholar is included among the top collaborators of J.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 J.I. Nagy. J.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
1.
Maal‐Bared, Geith, Erika K. Harding, Ethan Kim, et al.. (2024). Connexin‐36‐positive gap junctions in ventral tegmental area GABA neurons sustain opiate dependence. European Journal of Neuroscience. 59(12). 3422–3444. 2 indexed citations
2.
Lynn, Bruce, Xinbo Li, Sheriar G. Hormuzdi, et al.. (2018). E3 ubiquitin ligases LNX1 and LNX2 localize at neuronal gap junctions formed by connexin36 in rodent brain and molecularly interact with connexin36. European Journal of Neuroscience. 48(9). 3062–3081. 15 indexed citations
3.
Nagy, J.I., Lynn Bry, Jacques Sénécal, & Katinka Stecina. (2018). Connexin36 Expression in Primary Afferent Neurons in Relation to the Axon Reflex and Modality Coding of Somatic Sensation. Neuroscience. 383. 216–234. 8 indexed citations
4.
Yasumura, Thomas, et al.. (2017). Connexin36 localization to pinealocytes in the pineal gland of mouse and rat. European Journal of Neuroscience. 45(12). 1594–1605. 2 indexed citations
5.
Bry, Lynn, et al.. (2017). Immunofluorescence reveals unusual patterns of labelling for connexin43 localized to calbindin‐D28K‐positive interstitial cells in the pineal gland. European Journal of Neuroscience. 45(12). 1553–1569. 1 indexed citations
6.
Nagy, J.I. & John E. Rash. (2017). Cx36, Cx43 and Cx45 in mouse and rat cerebellar cortex: species‐specific expression, compensation in Cx36 null mice and co‐localization in neurons vs. glia. European Journal of Neuroscience. 46(2). 1790–1804. 16 indexed citations
7.
Nagy, J.I., Alberto E. Pereda, & John E. Rash. (2017). Electrical synapses in mammalian CNS: Past eras, present focus and future directions. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(1). 102–123. 71 indexed citations
8.
Nagy, J.I., Alberto E. Pereda, & John E. Rash. (2017). On the occurrence and enigmatic functions of mixed (chemical plus electrical) synapses in the mammalian CNS. Neuroscience Letters. 695. 53–64. 26 indexed citations
9.
Bry, Lynn, Xinbo Li, & J.I. Nagy. (2012). Under Construction: Building the Macromolecular Superstructure and Signaling Components of an Electrical Synapse. The Journal of Membrane Biology. 245(5-6). 303–317. 26 indexed citations
10.
Bry, Lynn, Oliver Tress, Dennis May, Klaus Willecke, & J.I. Nagy. (2011). Ablation of connexin30 in transgenic mice alters expression patterns of connexin26 and connexin32 in glial cells and leptomeninges. European Journal of Neuroscience. 34(11). 1783–1793. 31 indexed citations
11.
Li, Xinbo, Lynn Bry, & J.I. Nagy. (2011). The effector and scaffolding proteins AF6 and MUPP1 interact with connexin36 and localize at gap junctions that form electrical synapses in rodent brain. European Journal of Neuroscience. 35(2). 166–181. 37 indexed citations
12.
Hemming, Richard, et al.. (2008). Mouse Hyal3 encodes a 45- to 56-kDa glycoprotein whose overexpression increases hyaluronidase 1 activity in cultured cells. Glycobiology. 18(4). 280–289. 50 indexed citations
15.
Bry, Lynn, Xinbo Li, Peter A. Cattini, Eva A. Turley, & J.I. Nagy. (2001). Identification of sequence, protein isoforms, and distribution of the hyaluronan‐binding protein RHAMM in adult and developing rat brain. The Journal of Comparative Neurology. 439(3). 315–330. 43 indexed citations
17.
Padua, Rodolfo A., J.I. Nagy, & Jonathan D. Geiger. (1994). Ionic Strength Dependence of Calcium, Adenine Nucleotide, Magnesium, and Caffeine Actions on Ryanodine Receptors in Rat Brain. Journal of Neurochemistry. 62(6). 2340–2348. 16 indexed citations
18.
Padua, Rodolfo A., Weihua Wan, J.I. Nagy, & Jonathan D. Geiger. (1991). [3H]Ryanodine binding sites in rat brain demonstrated by membrane binding and autoradiography. Brain Research. 542(1). 135–140. 46 indexed citations
19.
Yamamoto, Takenori, et al.. (1990). On the organization of astrocytic gap junctions in rat brain as suggested by LM and EM immunohistochemistry of connexin43 expression. The Journal of Comparative Neurology. 302(4). 853–883. 203 indexed citations
20.
Nagy, J.I., Stephen P. Hunt, L L Iversen, & P.C. Emson. (1982). EFFECTS OF CAPSAICIN ON DORSAL-ROOT AFFERENTS. UCL Discovery (University College London). 5 indexed citations

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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