Zsófia Nemoda

78 papers receiving 2.5k citations

Peers

Zsófia Nemoda
Comparison fields: 5 of 106
  • Behavioral Neuroscience 142
  • Physiology 145
  • Biological Psychiatry 48
  • Cellular and Molecular Neuroscience 563
  • Clinical Psychology 651
Replace Mária Sasvári‐Székely with:
Mária Sasvári‐Székely Hungary
Masahiro Matsunaga Japan
Kristina B. Mercer United States
Bridget M. Nugent United States
Wendy J. Lynch United States
Zsolt Rónai Hungary
Anthony P. Auger United States
Nori Takei Japan
Scott Edwards United States
Christopher P. Morgan United States
Zsófia Nemoda relative to Mária Sasvári‐Székely Hungary Mária Sasvári‐Székely's profile →
Citations per field
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Mária Sasvári‐Székely · 1×
Citations per year

Countries citing papers authored by Zsófia Nemoda

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Nemoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000135
2 2018119
3 2017109
4 201599
5 200396
6 200294
7 200789
8 200687
9 200882
10 200080
11 200872
12 200972
13 201166
14 201065
15 200759
16 200456
17 201056
18 200352
19 200752
20 201051

About Zsófia Nemoda

Zsófia Nemoda is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Clinical Psychology, Behavioral Neuroscience and Genetics, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (24 papers), Epigenetics and DNA Methylation (15 papers), Attention Deficit Hyperactivity Disorder (13 papers), Genetic Associations and Epidemiology (13 papers), Stress Responses and Cortisol (7 papers), Attachment and Relationship Dynamics (6 papers), Obsessive-Compulsive Spectrum Disorders (5 papers) and Psychoanalysis and Psychopathology Research (4 papers). The work is most often cited by research in Behavioral Neuroscience (142 citations), Physiology (145 citations), Biological Psychiatry (48 citations), Cellular and Molecular Neuroscience (563 citations) and Clinical Psychology (651 citations). Zsófia Nemoda has collaborated with scholars based in Hungary, Canada and United States. Frequent co-authors include Mária Sasvári‐Székely, Zsolt Rónai, Judit Gervai, Anna Székely, Krisztina Lakatos, Miklós Sahin‐Tóth, Moshe Szyf, Ildikó Tóth, Krisztina Ney and Zsanett Tárnok. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Molecular Psychiatry, Electrophoresis, Translational Psychiatry and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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