László Kopper
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Hepatology top 5%
- Liver physiology and pathology
Papers in
- Oncology 25
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- NF-κB Signaling Pathways 5
- Co-authors
- József Tı́már (17 shared papers)Anna Réka Sebestyén (25 shared papers)Sándor Paku (11 shared papers)Péter Nagy (3 shared papers)G. Gordon Steel (1 shared paper)István Peták (14 shared papers)Rudolf Mihalik (14 shared papers)Gábor Barna (11 shared papers)
- Journals
- Pathology & Oncology Research (25 papers)Cytokine (2 papers)British Journal of Haematology (2 papers)Experimental Cell Research (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- HungaryUnited StatesItaly
In The Last Decade
László Kopper
81 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 317
- Hepatology 141
- Oncology 465
- Cell Biology 237
- Immunology and Allergy 79
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-authors
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
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 102 | |
| 2 | The therapeutic response of three human tumor lines maintained in immune-suppressed mice. | 1975 | 87 |
| 3 | 2002 | 87 | |
| 4 | 2021 | 79 | |
| 5 | 2004 | 54 | |
| 6 | 2008 | 52 | |
| 7 | 2013 | 52 | |
| 8 | 2014 | 51 | |
| 9 | 1998 | 50 | |
| 10 | 2010 | 49 | |
| 11 | 2008 | 46 | |
| 12 | 1999 | 45 | |
| 13 | 2005 | 45 | |
| 14 | 2007 | 42 | |
| 15 | 2001 | 41 | |
| 16 | 2009 | 41 | |
| 17 | 2007 | 34 | |
| 18 | 2006 | 33 | |
| 19 | 2005 | 32 | |
| 20 | 2013 | 32 |
About László Kopper
László Kopper is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Proteoglycans and glycosaminoglycans research (8 papers), Glycosylation and Glycoproteins Research (8 papers), Cell death mechanisms and regulation (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Cancer Research (317 citations), Hepatology (141 citations), Oncology (465 citations), Cell Biology (237 citations) and Immunology and Allergy (79 citations). László Kopper has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include József Tı́már, Anna Réka Sebestyén, Sándor Paku, Péter Nagy, G. Gordon Steel, István Peták, Rudolf Mihalik, Gábor Barna, Titanilla Dankó and Snorri S. Thorgeirsson. Their work appears in journals such as Pathology & Oncology Research, Cytokine, British Journal of Haematology, Experimental Cell Research and International Journal of Cancer.
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.