László Kopper
- Cancer Research top 5%
- Oncology top 5%
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 7
- Immunology and Allergy top 10%
- Molecular Biology top 10%
- Cell death mechanisms and regulation 8
- PI3K/AKT/mTOR signaling in cancer 7
- Glycosylation and Glycoproteins Research 6
- Ubiquitin and proteasome pathways 6
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- Lung Cancer Treatments and Mutations 13
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- Chronic Lymphocytic Leukemia Research 7
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Anna SebestyénJózsef Tı́márSándor PakuG. Gordon SteelIstván PetákRudolf MihalikGábor BarnaTitanilla Dankó
- Cited by
- Cancer ResearchOncologyCell Biology
- Journals
- Pathology & Oncology Research (25 papers)British Journal of Haematology (2 papers)Modern Pathology (2 papers)
- Partner nations
- HungaryUnited StatesItaly
In The Last Decade
László Kopper
80 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 343
- Oncology 512
- Cell Biology 215
- Immunology and Allergy 79
- Molecular Biology 821
Countries citing papers authored by László Kopper
This map shows the geographic impact of László Kopper'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 Kopper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Kopper more than expected).
Fields of papers citing papers by László Kopper
This network shows the impact of papers produced by László Kopper. 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 Kopper. The network helps show where László Kopper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside László Kopper, 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 | 2018 | 4 | |
| 2 | 2016 | 19 | |
| 3 | 2013 | 25 | |
| 4 | 2013 | 30 | |
| 5 | 2012 | 24 | |
| 6 | 2011 | 6 | |
| 7 | 2009 | 0 | |
| 8 | 2007 | 5 | |
| 9 | 2007 | 40 | |
| 10 | 2005 | 32 | |
| 11 | 2005 | 23 | |
| 12 | 2004 | 51 | |
| 13 | 2003 | 9 | |
| 14 | 2003 | 1 | |
| 15 | 2002 | 25 | |
| 16 | 1998 | 49 | |
| 17 | 1997 | 5 | |
| 18 | 1996 | 4 | |
| 19 | 1996 | 22 | |
| 20 | 1990 | 1 |
About László Kopper
László Kopper is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Genetics and Immunology and Allergy, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Cell death mechanisms and regulation (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Proteoglycans and glycosaminoglycans research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Cancer Research (343 citations), Oncology (512 citations), Cell Biology (215 citations), Immunology and Allergy (79 citations) and Molecular Biology (821 citations). László Kopper has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Anna Sebestyén, József Tı́már, Sándor Paku, G. Gordon Steel, István Peták, Rudolf Mihalik, Gábor Barna, Titanilla Dankó, Péter Nagy and Zsolt Orosz. Their work appears in journals such as Pathology & Oncology Research, British Journal of Haematology, Modern Pathology, Applied immunohistochemistry & molecular morphology and Cytokine.
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.