Nathan de Groot
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
-
- RNA and protein synthesis mechanisms 14
- RNA modifications and cancer 12
- Epigenetics and DNA Methylation 8
- Chemical Synthesis and Analysis 5
- RNA Research and Splicing 4
- DNA and Nucleic Acid Chemistry 4
- Genetics 14
- Genetic Syndromes and Imprinting 10
- Co-authors
- Abraham Hochberg (33 shared papers)Y. Lapidot (8 shared papers)Ilana Ariel (10 shared papers)Patricia Ohana (5 shared papers)Imad Matouk (5 shared papers)Abraham Czerniak (3 shared papers)Tatiana Birman (4 shared papers)Volker A. Erdmann (2 shared papers)
- Journals
- Molecular Biology Reports (6 papers)European Journal of Biochemistry (5 papers)FEBS Letters (5 papers)Molecular Carcinogenesis (3 papers)Placenta (2 papers)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Nathan de Groot
43 papers receiving 894 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 335
- Molecular Biology 742
- Genetics 191
- Biotechnology 48
- Oncology 112
Countries citing papers authored by Nathan de Groot
This map shows the geographic impact of Nathan de Groot'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 Nathan de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan de Groot more than expected).
Fields of papers citing papers by Nathan de Groot
This network shows the impact of papers produced by Nathan de Groot. 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 Nathan de Groot. The network helps show where Nathan de Groot may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan de Groot, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 116 | |
| 2 | 2013 | 82 | |
| 3 | 1995 | 72 | |
| 4 | 2001 | 69 | |
| 5 | 2000 | 56 | |
| 6 | 1996 | 53 | |
| 7 | 1996 | 42 | |
| 8 | 1997 | 38 | |
| 9 | 2002 | 33 | |
| 10 | 2002 | 32 | |
| 11 | 1994 | 31 | |
| 12 | 2004 | 28 | |
| 13 | 1970 | 26 | |
| 14 | 1974 | 26 | |
| 15 | 2000 | 23 | |
| 16 | 1972 | 22 | |
| 17 | 2004 | 18 | |
| 18 | 1975 | 16 | |
| 19 | 1975 | 15 | |
| 20 | 1975 | 13 |
About Nathan de Groot
Nathan de Groot is a scholar working on Molecular Biology, Genetics, Immunology, Pediatrics, Perinatology and Child Health and Oncology, having authored 43 papers that have together received 929 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (12 papers), Genetic Syndromes and Imprinting (10 papers), Epigenetics and DNA Methylation (8 papers), Chemical Synthesis and Analysis (5 papers), Prenatal Screening and Diagnostics (4 papers), RNA Research and Splicing (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Cancer Research (335 citations), Molecular Biology (742 citations), Genetics (191 citations), Biotechnology (48 citations) and Oncology (112 citations). Nathan de Groot has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Abraham Hochberg, Y. Lapidot, Ilana Ariel, Patricia Ohana, Imad Matouk, Abraham Czerniak, Tatiana Birman, Volker A. Erdmann, Jan Barciszewski and Michael Elkin. Their work appears in journals such as Molecular Biology Reports, European Journal of Biochemistry, FEBS Letters, Molecular Carcinogenesis and Placenta.
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.