Á. Párducz

84 papers receiving 3.0k citations

Peers

Á. Párducz
Comparison fields: 5 of 125
  • Behavioral Neuroscience 513
  • Developmental Neuroscience 306
  • Cellular and Molecular Neuroscience 1.2k
  • Biological Psychiatry 110
  • Endocrine and Autonomic Systems 298
Replace Daniel S. Lorrain with:
Daniel S. Lorrain United States
Gerard J.M. Martens Netherlands
István M. Ábrahám Hungary
Yasushi Hojo Japan
Setsuji Hisano Japan
Jeffrey L. Arriza United States
Tong H. Joh United States
Brenda D. Shivers United States
Stephen R. Salton United States
Anne Bérod France
Á. Párducz relative to Daniel S. Lorrain United States Daniel S. Lorrain's profile →
Citations per field
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Daniel S. Lorrain · 1×
Citations per year

Countries citing papers authored by Á. Párducz

Since Specialization
Citations

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

Fields of papers citing papers by Á. Párducz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003255
2 1994242
3 2008171
4 1984156
5 1994145
6
Electron microscopic study of Kupffer-cell phagocytosis blockade induced by gadolinium chloride.
1980124
7 1993104
8 200592
9 200777
10 200774
11 200269
12 200162
13 201860
14 200458
15 200958
16 201654
17 200949
18 199545
19 197744
20 199342

About Á. Párducz

Á. Párducz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 88 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (37 papers), Stress Responses and Cortisol (12 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Ion channel regulation and function (8 papers), Olfactory and Sensory Function Studies (7 papers), Hypothalamic control of reproductive hormones (7 papers), Estrogen and related hormone effects (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Behavioral Neuroscience (513 citations), Developmental Neuroscience (306 citations), Cellular and Molecular Neuroscience (1.2k citations), Biological Psychiatry (110 citations) and Endocrine and Autonomic Systems (298 citations). Á. Párducz has collaborated with scholars based in Hungary, Spain and United States. Frequent co-authors include Luis Miguel García‐Segura, Frederick Naftolin, Ferenc Joó, Zsófia Hoyk, Julie A. Chowen, Yves Dunant, György Lázár, Tibor Hajszán, J. Pérez and Csaba Leranth. Their work appears in journals such as Neuroscience, European Journal of Neuroscience, Neuroreport, Brain Research and Glia.

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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