Csaba Konràd

37 papers receiving 1.8k citations

Csaba Konràd's Hit Papers

Tau interactome maps synaptic and mitochondrial processes associated with neurodegeneration 2022 · 217 citations
2170+1+2Years since publication50100150200

Peers

Csaba Konràd
Comparison fields: 5 of 99
  • Clinical Biochemistry 134
  • Neurology 214
  • Molecular Biology 988
  • Physiology 309
  • Neurology 101
Replace Arezu Jahani‐Asl with:
Arezu Jahani‐Asl Canada
Federica Valsecchi United States
Gillian M. Borthwick United Kingdom
Hakjoo Lee United States
Ifat Bar-Joseph United States
Jun Qin Mo United States
Julie Lavie France
Haipeng Cheng China
Antonietta Franco United States
Anne-Laure Bulteau France
Csaba Konràd relative to Arezu Jahani‐Asl Canada Arezu Jahani‐Asl's profile →
Citations per field
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Arezu Jahani‐Asl · 1×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018348
2
Tau interactome maps synaptic and mitochondrial processes associated with neurodegeneration
Hit paper breakdown →
2022217
3 2016208
4 2019106
5 201091
6 201874
7 201873
8 201957
9 201757
10 201354
11 201453
12 201751
13 201143
14 201736
15 202135
16 201834
17 201433
18 201933
19 201029
20 201726

About Csaba Konràd

Csaba Konràd is a scholar working on Clinical Biochemistry, Molecular Biology, Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), ATP Synthase and ATPases Research (10 papers), Amyotrophic Lateral Sclerosis Research (9 papers), Metabolism and Genetic Disorders (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (134 citations), Neurology (214 citations), Molecular Biology (988 citations), Physiology (309 citations) and Neurology (101 citations). Csaba Konràd has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Giovanni Manfredi, Alexander S. Galkin, Анна Степанова, Hibiki Kawamata, Gergely Kiss, Christos Chinopoulos, Anatoly A. Starkov, Vera Ádám‐Vizi, Federica Valsecchi and Vadim S. Ten. Their work appears in journals such as The FASEB Journal, Biochimica et Biophysica Acta (BBA) - Bioenergetics, FEBS Journal, 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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