Csaba Matta

65 papers receiving 2k citations

Csaba Matta's Hit Papers

Mesenchymal stem cells in regenerative medicine: Focus on articular cartilage and intervertebral disc regeneration 2015 · 404 citations
4040+3+7Years since publication100200300400

Peers

Csaba Matta
Comparison fields: 5 of 93
  • Rheumatology 1.1k
  • Genetics 242
  • Sensory Systems 78
  • Physiology 48
  • Pathology and Forensic Medicine 172
Replace Róza Zákány with:
Róza Zákány Hungary
Hironori Hojo Japan
Cheryle A. Séguin Canada
Paola D’Andrea Italy
Tadayoshi Hayata Japan
Ruoxian Deng United States
Nelson Osses Chile
Samuel S. Murray United States
Xin Yan China
Tomokazu Hasegawa Japan
Csaba Matta relative to Róza Zákány Hungary Róza Zákány's profile →
Citations per field
00.5×2×4×6×8×9.6×
Róza Zákány · 1×
Citations per year

Countries citing papers authored by Csaba Matta

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Matta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mesenchymal stem cells in regenerative medicine: Focus on articular cartilage and intervertebral disc regeneration
Hit paper breakdown →
2015404
2 2014183
3 2016140
4 201390
5 201874
6 201464
7 201263
8 201961
9 201360
10 201553
11 200851
12 201645
13 201440
14 201540
15 200539
16 201139
17 201432
18 201932
19 201531
20 200930

About Csaba Matta

Csaba Matta is a scholar working on Rheumatology, Genetics, Endocrine and Autonomic Systems, Physiology and Sensory Systems, having authored 68 papers that have together received 2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (45 papers), Mesenchymal stem cell research (5 papers), Circadian rhythm and melatonin (4 papers), Bone Tissue Engineering Materials (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Ion Channels and Receptors (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Rheumatology (1.1k citations), Genetics (242 citations), Sensory Systems (78 citations), Physiology (48 citations) and Pathology and Forensic Medicine (172 citations). Csaba Matta has collaborated with scholars based in Hungary, United Kingdom and Lithuania. Frequent co-authors include Ali Mobasheri, Róza Zákány, Tamás Juhász, Roland Takács, Peter Natesan Pushparaj, Giuseppe Musumeci, Christopher R. Fellows, Ali Khademhosseini, Stephen M. Richardson and Kalamegam Gauthaman. Their work appears in journals such as Cell Calcium, International Journal of Molecular Sciences, Osteoarthritis and Cartilage, Current Protocols and Cellular Signalling.

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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