Zsófia Majláth

29 papers receiving 591 citations

Peers

Zsófia Majláth
Comparison fields: 5 of 82
  • Biological Psychiatry 156
  • Behavioral Neuroscience 78
  • Psychiatry and Mental health 215
  • Neurology 64
  • Pathology and Forensic Medicine 106
Replace Nóra Török with:
Nóra Török Hungary
Enikő Vámos Hungary
Curtis A. Benson United States
Sixun Yu China
Hajnalka Németh Hungary
Yi-Chyan Chen Taiwan
Alfredo Oliveros United States
Gilly Wolf Israel
Tamara Romón Spain
Flóra Gölöncsér Hungary
Zsófia Majláth relative to Nóra Török Hungary Nóra Török's profile →
Citations per field
00.5×2×2.8×
Nóra Török · 1×
Citations per year

Countries citing papers authored by Zsófia Majláth

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Majláth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015114
2 201755
3 201545
4 201642
5 201640
6 201535
7 201528
8 201521
9 201621
10 201620
11 201319
12 201418
13 201317
14 201416
15 201816
16 201515
17 201411
18 201610
19 20159
20
Kynurenines in cognitive functions: their possible role in depression.
20128

About Zsófia Majláth

Zsófia Majláth is a scholar working on Biological Psychiatry, Psychiatry and Mental health, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 29 papers that have together received 593 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (17 papers), Stress Responses and Cortisol (9 papers), Migraine and Headache Studies (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Bipolar Disorder and Treatment (4 papers), Treatment of Major Depression (3 papers), Receptor Mechanisms and Signaling (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (156 citations), Behavioral Neuroscience (78 citations), Psychiatry and Mental health (215 citations), Neurology (64 citations) and Pathology and Forensic Medicine (106 citations). Zsófia Majláth has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include László Vécsei, János Tajti, Délia Szok, Anett Csáti, József Toldi, Nóra Török, Bernadett Tuka, Cecília Rajda, Imre Dékány and Edit Csapó. Their work appears in journals such as Expert Opinion on Drug Safety, CNS & Neurological Disorders - Drug Targets, International Journal of Molecular Sciences, Colloids and Surfaces B Biointerfaces and Expert Opinion on Investigational Drugs.

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