László Góth

45 papers receiving 3.1k citations

László Góth's Hit Papers

A simple method for determination of serum catalase activity and revision of reference range 1991 · 2.0k citations
2.0k0+11+23Years since publication50010001.5k2.0k

Peers

László Góth
Comparison fields: 5 of 124
  • Clinical Biochemistry 277
  • Aquatic Science 280
  • Health, Toxicology and Mutagenesis 333
  • Biochemistry 143
  • Nutrition and Dietetics 266
Replace Larry W. Oberley with:
Larry W. Oberley United States
Ignacio Núñez de Castro Spain
Carmen María Vázquez Spain
B. Matkovics Hungary
Susana Llesuy Argentina
Oluseyi Adeboye Akinloye Nigeria
Mario Muñoz Spain
Hervé Guillou France
Inger Carlberg Sweden
Stephen W. Schaffer United States
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Citations per field
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Larry W. Oberley · 1×
Citations per year

Countries citing papers authored by László Góth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 16 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.

Border = papers with László Góth Line = papers co-authored together László Góth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A simple method for determination of serum catalase activity and revision of reference range
Hit paper breakdown →
19912021
2 2004201
3 2000168
4 200874
5 201263
6 200155
7 201351
8 200347
9 199742
10 199241
11 200038
12 200131
13 201228
14 199625
15 198325
16 200522
17 200121
18 199721
19 200721
20 200021

About László Góth

László Góth is a scholar working on Pathology and Forensic Medicine, Clinical Biochemistry, Pediatrics, Perinatology and Child Health, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Biomedical Research and Pathophysiology (16 papers), Advanced Glycation End Products research (8 papers), Protein Interaction Studies and Fluorescence Analysis (8 papers), Neonatal Health and Biochemistry (8 papers), Pancreatic function and diabetes (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Natural Antidiabetic Agents Studies (5 papers) and Methemoglobinemia and Tumor Lysis Syndrome (5 papers). The work is most often cited by research in Clinical Biochemistry (277 citations), Aquatic Science (280 citations), Health, Toxicology and Mutagenesis (333 citations), Biochemistry (143 citations) and Nutrition and Dietetics (266 citations). László Góth has collaborated with scholars based in Hungary, United States and Ireland. Frequent co-authors include John W. Eaton, Anikó Páy, Amir H. Shemirani, Miklós Káplár, Tibor Kalmár, Zsolt Fejes, Harjit Pal Bhattoa, György Paragh, András Gorzsás and Zoltan G. Toth. Their work appears in journals such as Clinical Chemistry, Clinica Chimica Acta, Electrophoresis, 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.

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