Judit Dóczi

985 citations
24 papers · 781 · h-index 16

Impact in

Papers in

Judit Dóczi

24 papers receiving 763 citations

Peers

Judit Dóczi
Comparison fields: 5 of 98
  • Developmental Neuroscience 53
  • Clinical Biochemistry 89
  • Cellular and Molecular Neuroscience 151
  • Cancer Research 113
  • Molecular Biology 478
Replace Rut Fadó with:
Rut Fadó Spain
Jennifer Wettmarshausen Germany
Stephanie L. Barrow United Kingdom
Yuen-Ting Cheung Hong Kong
Prasad Tammineni United States
Cecilia Garcı́a-Pérez United States
Nadee Nissanka United States
Soledad Galli Argentina
Gail A. M. Breen United States
Jonathan Thévenet Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Judit Dóczi

Since Specialization
Citations

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

Fields of papers citing papers by Judit Dóczi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015110
2 2019100
3 201085
4 200858
5 200955
6 201350
7 200439
8 200235
9 201632
10 201028
11 196426
12 201824
13 202020
14 199920
15 202017
16 201916
17 202214
18 202312
19 200212
20 20009

About Judit Dóczi

Judit Dóczi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry, Cancer Research and Surgery, having authored 24 papers that have together received 781 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Metabolism and Genetic Disorders (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Epilepsy research and treatment (3 papers), Biochemical Acid Research Studies (2 papers), ATP Synthase and ATPases Research (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (53 citations), Clinical Biochemistry (89 citations), Cellular and Molecular Neuroscience (151 citations), Cancer Research (113 citations) and Molecular Biology (478 citations). Judit Dóczi has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Vera Ádám‐Vizi, Christos Chinopoulos, Akos A. Gerencser, Beáta Törőcsik, Gergely Kiss, Ildikó Világi, Csaba Konràd, Ella Bossy‐Wetzel, László Tretter and Gergő Horváth. Their work appears in journals such as The FASEB Journal, Brain Research, Scientific Reports, Molecular Genetics and Metabolism and Antioxidants.

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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