László Gráf
Impact in
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
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- Neuropeptides and Animal Physiology
Papers in
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- Protease and Inhibitor Mechanisms 48
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- Neuropeptides and Animal Physiology 26
- Co-authors
- William J. Rutter (7 shared papers)András Patthy (25 shared papers)László Sz. Szilágyi (22 shared papers)Yuet Wai Kan (1 shared paper)Kurt Jarnagin (1 shared paper)Marc Edery (1 shared paper)Ira D. Goldfine (1 shared paper)Leland Ellis (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (11 papers)Biochemistry (10 papers)FEBS Letters (9 papers)Life Sciences (6 papers)European Journal of Biochemistry (5 papers)
- Partner nations
- HungaryUnited StatesJapan
In The Last Decade
László Gráf
117 papers receiving 4.1k citations
László Gráf's Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 706
- Cellular and Molecular Neuroscience 582
- Endocrinology, Diabetes and Metabolism 601
- Molecular Biology 1.8k
- Immunology 356
Countries citing papers authored by László Gráf
This map shows the geographic impact of László Gráf'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 Gráf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Gráf more than expected).
Fields of papers citing papers by László Gráf
This network shows the impact of papers produced by László Gráf. 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 Gráf. The network helps show where László Gráf may publish in the future.
Co-authors
The 25 scholars most cited alongside László Gráf, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The human insulin receptor cDNA: The structural basis for hormone-activated transmembrane signalling Hit paper breakdown → | 1985 | 1339 |
| 2 | 2003 | 184 | |
| 3 | 1987 | 135 | |
| 4 | 1998 | 95 | |
| 5 | 1974 | 92 | |
| 6 | 1997 | 89 | |
| 7 | 2002 | 86 | |
| 8 | 1976 | 84 | |
| 9 | 2001 | 80 | |
| 10 | 1979 | 79 | |
| 11 | 1995 | 62 | |
| 12 | 1976 | 59 | |
| 13 | 2011 | 58 | |
| 14 | 1977 | 55 | |
| 15 | 1996 | 48 | |
| 16 | 1973 | 45 | |
| 17 | 2005 | 44 | |
| 18 | 1977 | 43 | |
| 19 | 2008 | 42 | |
| 20 | 1974 | 41 |
About László Gráf
László Gráf is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism and Materials Chemistry, having authored 119 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (48 papers), Neuropeptides and Animal Physiology (26 papers), Protein Structure and Dynamics (19 papers), Enzyme Structure and Function (16 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Enzyme Production and Characterization (5 papers), Entomopathogenic Microorganisms in Pest Control (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Cancer Research (706 citations), Cellular and Molecular Neuroscience (582 citations), Endocrinology, Diabetes and Metabolism (601 citations), Molecular Biology (1.8k citations) and Immunology (356 citations). László Gráf has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include William J. Rutter, András Patthy, László Sz. Szilágyi, Yuet Wai Kan, Kurt Jarnagin, Marc Edery, Ira D. Goldfine, Leland Ellis, Frank R. Masiarz and Richard A. Roth. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemistry, FEBS Letters, Life Sciences and European Journal of Biochemistry.
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.