Dora M. Kovacs

50 papers receiving 5.1k citations

Dora M. Kovacs's Hit Papers

A three-dimensional human neural cell culture model of Alzheimer’s disease 2014 · 893 citations
8930+7+15Years since publication250500750

Peers

Dora M. Kovacs
Comparison fields: 5 of 116
  • Physiology 2.9k
  • Developmental Neuroscience 221
  • Biological Psychiatry 128
  • Neurology 432
  • Cellular and Molecular Neuroscience 905
Replace Philippe Marambaud with:
Philippe Marambaud United States
Xin Yu China
Alfredo Lorenzo Argentina
Henry Querfurth United States
Irene H. Cheng United States
Makoto Michikawa Japan
F. Van Leuven Belgium
Jean‐Noël Octave Belgium
Riqiang Yan United States
Troy T. Rohn United States
Dora M. Kovacs relative to Philippe Marambaud United States Philippe Marambaud's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dora M. Kovacs

Since Specialization
Citations

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

Fields of papers citing papers by Dora M. Kovacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dora M. Kovacs. 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 Dora M. Kovacs. The network helps show where Dora M. Kovacs may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A three-dimensional human neural cell culture model of Alzheimer’s disease
Hit paper breakdown →
2014893
2
Alzheimer's disease: the cholesterol connection
Hit paper breakdown →
2003681
3 2009456
4 1996452
5 2001401
6 2011382
7 1997286
8 2004224
9 1996210
10 1997125
11 2005116
12 200759
13 201057
14 200653
15 200950
16 200747
17 201046
18 200745
19 199944
20 201443

About Dora M. Kovacs

Dora M. Kovacs is a scholar working on Physiology, Molecular Biology, Surgery, Pharmacology and Food Science, having authored 52 papers that have together received 5.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Cholesterol and Lipid Metabolism (11 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), 14-3-3 protein interactions (4 papers), Computational Drug Discovery Methods (4 papers), Animal Nutrition and Physiology (4 papers), Probiotics and Fermented Foods (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Physiology (2.9k citations), Developmental Neuroscience (221 citations), Biological Psychiatry (128 citations), Neurology (432 citations) and Cellular and Molecular Neuroscience (905 citations). Dora M. Kovacs has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Rudolph E. Tanzi, Luigi Puglielli, Annakaisa Haapasalo, Doo Yeon Kim, Philip C. Wong, Robert Vassar, Riqiang Yan, Robert D. Moir, Tae‐Wan Kim and Bradley T. Hyman. Their work appears in journals such as The FASEB Journal, Animals, Molecular Neurodegeneration, Journal of Biological Chemistry and Neurodegenerative Diseases.

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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