Csaba Konràd

2.3k citations
34 papers · 964 · h-index 19

Impact in

    • Metabolism and Genetic Disorders
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Mitochondrial Function and Pathology 20
    • ATP Synthase and ATPases Research 10
    • Amyotrophic Lateral Sclerosis Research 8
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Csaba Konràd

34 papers receiving 956 citations

Peers

Csaba Konràd
Comparison fields: 5 of 83
  • Clinical Biochemistry 118
  • Neurology 178
  • Molecular Biology 651
  • Neurology 68
  • Biochemistry 55
Replace Sirui Jiang with:
Sirui Jiang United States
Evgenia Alpert Israel
Susanna Petrosyan United States
Veronica Granatiero Italy
Sophia von Stockum Italy
Charlotte Veyrat‐Durebex France
Pascaline Clerc United States
Valentina Debattisti United States
Mauro Scarpelli Italy
Koei Shinzawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Csaba Konràd

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Konràd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201995
2 201083
3 201869
4 201868
5 201953
6 201752
7 201451
8 201349
9 201747
10 201143
11 201933
12 201733
13 202133
14 201832
15 201428
16 201027
17 201726
18 201825
19 202221
20 202017

About Csaba Konràd

Csaba Konràd is a scholar working on Molecular Biology, Neurology, Clinical Biochemistry, Cellular and Molecular Neuroscience and Neurology, having authored 34 papers that have together received 964 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (20 papers), ATP Synthase and ATPases Research (10 papers), Amyotrophic Lateral Sclerosis Research (8 papers), Metabolism and Genetic Disorders (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Clinical Biochemistry (118 citations), Neurology (178 citations), Molecular Biology (651 citations), Neurology (68 citations) and Biochemistry (55 citations). Csaba Konràd has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Giovanni Manfredi, Alexander Galkin, Анна Степанова, Gergely Kiss, Christos Chinopoulos, Hibiki Kawamata, Anatoly A. Starkov, Vera Ádám‐Vizi, Federica Valsecchi and Vadim S. Ten. Their work appears in journals such as The FASEB Journal, FEBS Journal, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Journal of Cerebral Blood Flow & Metabolism and Molecular Neurodegeneration.

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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