László G. Nöt
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis
Papers in
- Surgery 17
- Orthopedic Infections and Treatments 11
- Orthopaedic implants and arthroplasty 6
- Shoulder Injury and Treatment 4
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- John C. Chatham (9 shared papers)Richard B. Marchase (5 shared papers)Norbert Fülöp (3 shared papers)Norbert Wiegand (13 shared papers)Dénes Lôrinczy (17 shared papers)Wenguang Feng (2 shared papers)Chin Fen Teo (1 shared paper)Dongqi Xing (2 shared papers)
- Journals
- Journal of Thermal Analysis and Calorimetry (15 papers)Injury (3 papers)Shock (3 papers)Value in Health (2 papers)The FASEB Journal (2 papers)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
László G. Nöt
30 papers receiving 684 citations
Peers
Comparison fields: 5 of 78
- Immunology 216
- Organic Chemistry 249
- Molecular Biology 435
- Physical and Theoretical Chemistry 52
- Surgery 142
Countries citing papers authored by László G. Nöt
This map shows the geographic impact of László G. Nöt'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 László G. Nöt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László G. Nöt more than expected).
Fields of papers citing papers by László G. Nöt
This network shows the impact of papers produced by László G. Nöt. 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 László G. Nöt. The network helps show where László G. Nöt may publish in the future.
Co-authors
The 25 scholars most cited alongside László G. Nöt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 154 | |
| 2 | 2008 | 93 | |
| 3 | 2008 | 86 | |
| 4 | 2008 | 81 | |
| 5 | 2010 | 41 | |
| 6 | 2007 | 36 | |
| 7 | 2014 | 35 | |
| 8 | 2020 | 25 | |
| 9 | 2013 | 19 | |
| 10 | 2012 | 19 | |
| 11 | 2017 | 14 | |
| 12 | 2012 | 12 | |
| 13 | 2013 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2006 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2008 | 3 |
About László G. Nöt
László G. Nöt is a scholar working on Surgery, Molecular Biology, Physical and Theoretical Chemistry, Organic Chemistry and Cell Biology, having authored 31 papers that have together received 692 indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (11 papers), thermodynamics and calorimetric analyses (7 papers), Glycosylation and Glycoproteins Research (6 papers), Orthopaedic implants and arthroplasty (6 papers), Shoulder Injury and Treatment (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Immunology (216 citations), Organic Chemistry (249 citations), Molecular Biology (435 citations), Physical and Theoretical Chemistry (52 citations) and Surgery (142 citations). László G. Nöt has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include John C. Chatham, Richard B. Marchase, Norbert Fülöp, Norbert Wiegand, Dénes Lôrinczy, Wenguang Feng, Chin Fen Teo, Dongqi Xing, Andrew P. Miller and Geert‐Jan Boons. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Injury, Shock, Value in Health and The FASEB Journal.
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.