László Góth
- Aquatic Science top 2%
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research 6
- Biochemistry top 5%
- Pharmacology top 2%
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- Biomedical Research and Pathophysiology 13
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- Protein Interaction Studies and Fluorescence Analysis 7
- Porphyrin Metabolism and Disorders 5
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- Neonatal Health and Biochemistry 6
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- Erythrocyte Function and Pathophysiology 6
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- Pancreatic function and diabetes 5
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- Iron Metabolism and Disorders 4
- Co-authors
- Anikó PáyTibor KalmárMiklós KáplárAmir H. ShemiraniZsolt FejesHarjit Pal BhattoaGyörgy ParaghAndrás Gorzsás
- Partner nations
- HungaryJapanUnited States
In The Last Decade
László Góth
40 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Aquatic Science 246
- Clinical Biochemistry 201
- Health, Toxicology and Mutagenesis 330
- Biochemistry 138
- Pharmacology 165
Countries citing papers authored by László Góth
This map shows the geographic impact of László Góth'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 Góth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Góth more than expected).
Fields of papers citing papers by László Góth
This network shows the impact of papers produced by László Góth. 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 Góth. The network helps show where László Góth may publish in the future.
Co-authorship network
The 15 scholars most cited alongside László Góth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 5 | |
| 2 | 2013 | 45 | |
| 3 | 2012 | 56 | |
| 4 | 2012 | 28 | |
| 5 | 2011 | 10 | |
| 6 | 2011 | 11 | |
| 7 | 2007 | 19 | |
| 8 | 2007 | 16 | |
| 9 | 2005 | 19 | |
| 10 | 2004 | 183 | |
| 11 | 2003 | 46 | |
| 12 | 2001 | 31 | |
| 13 | 2000 | 20 | |
| 14 | 1997 | 36 | |
| 15 | 1997 | 18 | |
| 16 | 1997 | 8 | |
| 17 | 1995 | 6 | |
| 18 | 1993 | 4 | |
| 19 | 1992 | 15 | |
| 20 | 1989 | 9 |
About László Góth
László Góth is a scholar working on Clinical Biochemistry, Pathology and Forensic Medicine, Nephrology, Endocrinology, Diabetes and Metabolism and Hematology, having authored 41 papers that have together received 2.7k indexed citations. Recurring topics across this work include Biomedical Research and Pathophysiology (13 papers), Protein Interaction Studies and Fluorescence Analysis (7 papers), Neonatal Health and Biochemistry (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Advanced Glycation End Products research (6 papers), Porphyrin Metabolism and Disorders (5 papers), Pancreatic function and diabetes (5 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Aquatic Science (246 citations), Clinical Biochemistry (201 citations), Health, Toxicology and Mutagenesis (330 citations), Biochemistry (138 citations) and Pharmacology (165 citations). László Góth has collaborated with scholars based in Hungary, Japan and United States. Frequent co-authors include Anikó Páy, Tibor Kalmár, Miklós Káplár, Amir H. Shemirani, Zsolt Fejes, Harjit Pal Bhattoa, György Paragh, András Gorzsás, Ferenc Fazakas and Péter Török. Their work appears in journals such as Clinical Chemistry, Electrophoresis, Clinica Chimica Acta, Free Radical Research and Archives of Biochemistry and Biophysics.
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.