László Gráf
Impact in
- Molecular Biology top 2%
- Metabolism, Diabetes, and Cancer
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Receptor Mechanisms and Signaling 19
- Biochemical and Structural Characterization 13
- Insect Resistance and Genetics 12
- Chemical Synthesis and Analysis 11
- Protein Structure and Dynamics 10
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- Neuropeptides and Animal Physiology 24
- Co-authors
- William J. Rutter (7 shared papers)András Patthy (24 shared papers)László Szilágyi (22 shared papers)Éric Clauser (1 shared paper)Ira D. Goldfine (1 shared paper)Jing‐hsiung James Ou (1 shared paper)Marc Edery (1 shared paper)Kurt Jarnagin (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
114 papers receiving 3.9k citations
László Gráf's Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.6k
- Endocrinology, Diabetes and Metabolism 552
- Cellular and Molecular Neuroscience 620
- Hematology 352
- Immunology 481
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 116 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 | 1268 |
| 2 | 2003 | 171 | |
| 3 | 1987 | 132 | |
| 4 | 1997 | 88 | |
| 5 | 1974 | 84 | |
| 6 | 1998 | 83 | |
| 7 | 2002 | 82 | |
| 8 | 1976 | 80 | |
| 9 | 2001 | 75 | |
| 10 | 1979 | 70 | |
| 11 | 1995 | 61 | |
| 12 | 2011 | 55 | |
| 13 | 1977 | 49 | |
| 14 | 1976 | 48 | |
| 15 | 1996 | 45 | |
| 16 | 1973 | 44 | |
| 17 | 2005 | 43 | |
| 18 | 1999 | 41 | |
| 19 | 1999 | 40 | |
| 20 | 1974 | 40 |
About László Gráf
László Gráf is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Immunology, having authored 116 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (24 papers), Receptor Mechanisms and Signaling (19 papers), Biochemical and Structural Characterization (13 papers), Insect Resistance and Genetics (12 papers), Chemical Synthesis and Analysis (11 papers), Peptidase Inhibition and Analysis (10 papers), Complement system in diseases (10 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Endocrinology, Diabetes and Metabolism (552 citations), Cellular and Molecular Neuroscience (620 citations), Hematology (352 citations) and Immunology (481 citations). László Gráf has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include William J. Rutter, András Patthy, László Szilágyi, Éric Clauser, Ira D. Goldfine, Jing‐hsiung James Ou, Marc Edery, Kurt Jarnagin, Leland Ellis and Yousuke Ebina. 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.