E G Lapetina
Impact in
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology
- Hematology top 1%
- Platelet Disorders and Treatments
Papers in
- Biochemistry 10
- Hematology 14
- Platelet Disorders and Treatments 11
- Co-authors
- Motasim BillahPedro CuatrecasasBryan R. ReepSteve P. WatsonBernhard BrüneWolfgang SiessRandy T. McConnellE. De Robertis
- Journals
- Journal of Biological Chemistry (31 papers)Proceedings of the National Academy of Sciences (20 papers)Biochemical Journal (10 papers)Biochemical and Biophysical Research Communications (6 papers)Journal of Neurochemistry (4 papers)
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
E G Lapetina
85 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 118
- Biochemistry 780
- Hematology 1.1k
- Molecular Biology 3.6k
- Physiology 1.3k
- Cell Biology 806
Countries citing papers authored by E G Lapetina
This map shows the geographic impact of E G Lapetina'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 E G Lapetina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E G Lapetina more than expected).
Fields of papers citing papers by E G Lapetina
This network shows the impact of papers produced by E G Lapetina. 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 E G Lapetina. The network helps show where E G Lapetina may publish in the future.
Co-authors
The 25 scholars most cited alongside E G Lapetina, 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 | 1995 | 25 | |
| 2 | 1993 | 100 | |
| 3 | 1993 | 5 | |
| 4 | 1993 | 34 | |
| 5 | 1992 | 34 | |
| 6 | 1990 | 40 | |
| 7 | 1990 | 20 | |
| 8 | 1990 | 20 | |
| 9 | 1989 | 8 | |
| 10 | 1987 | 16 | |
| 11 | 1985 | 69 | |
| 12 | 1985 | 113 | |
| 13 | 1983 | 175 | |
| 14 | 1983 | 83 | |
| 15 | 1981 | 44 | |
| 16 | 1980 | 48 | |
| 17 | 1978 | 59 | |
| 18 | 1976 | 20 | |
| 19 | 1968 | 16 | |
| 20 | 1967 | 203 |
About E G Lapetina
E G Lapetina is a scholar working on Biochemistry, Hematology, Immunology and Allergy, Genetics and Pharmacology, having authored 85 papers that have together received 6.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (21 papers), Platelet Disorders and Treatments (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Lipid Membrane Structure and Behavior (9 papers), Pharmacology and Obesity Treatment (8 papers), Hemoglobinopathies and Related Disorders (7 papers), Cell Adhesion Molecules Research (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Biochemistry (780 citations), Hematology (1.1k citations), Molecular Biology (3.6k citations), Physiology (1.3k citations) and Cell Biology (806 citations). E G Lapetina has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Motasim Billah, Pedro Cuatrecasas, Bryan R. Reep, Steve P. Watson, Bernhard Brüne, Wolfgang Siess, Randy T. McConnell, E. De Robertis, L Molina y Vedia and Eduardo F. Soto. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical Journal, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.
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.