Nathan DE GROOT

1.5k citations
47 papers · 1.3k · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 10%
    • Genetic Syndromes and Imprinting

Papers in

    • Genetic Syndromes and Imprinting 12
    • Virus-based gene therapy research 3
    • RNA and protein synthesis mechanisms 21
    • RNA Research and Splicing 2

Nathan DE GROOT

47 papers receiving 1.2k citations

Peers

Nathan DE GROOT
Comparison fields: 5 of 62
  • Cancer Research 364
  • Genetics 273
  • Molecular Biology 414
  • Cell Biology 71
  • Obstetrics and Gynecology 45
Replace Abraham Hochberg with:
Abraham Hochberg Israel
P. J. Klein Germany
Camari Ferguson United States
Edwin V. Gaffney United States
Myth T.S. Mok Hong Kong
Maurice C. Owen New Zealand
David G. Overdier United States
Claudia Andreu‐Vieyra United States
RESA WAKONIG-VAARTAJA Australia
Maria I. Kokkinos Australia
Nathan DE GROOT relative to Abraham Hochberg Israel Abraham Hochberg's profile →
Citations per field
00.5×2×3.4×
Abraham Hochberg · 1×
Citations per year

Countries citing papers authored by Nathan DE GROOT

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nathan DE GROOT Line = papers co-authored together Nathan DE GROOT links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992143
2 2009124
3 201388
4 199577
5 200170
6 199759
7 200059
8 199653
9 199647
10 199644
11 200243
12 199740
13 200235
14 200434
15 197431
16 199430
17 197026
18 197224
19
Differentiation of choriocarcinoma cell line (JAr).
199224
20 200024

About Nathan DE GROOT

Nathan DE GROOT is a scholar working on Genetics, Molecular Biology, Cell Biology, Obstetrics and Gynecology and Reproductive Medicine, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Genetic Syndromes and Imprinting (12 papers), Gestational Trophoblastic Disease Studies (3 papers), Virus-based gene therapy research (3 papers), Proteoglycans and glycosaminoglycans research (2 papers), Pregnancy and preeclampsia studies (2 papers), RNA Research and Splicing (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Cancer Research (364 citations), Genetics (273 citations), Molecular Biology (414 citations), Cell Biology (71 citations) and Obstetrics and Gynecology (45 citations). Nathan DE GROOT has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Abraham Hochberg, Ilana Ariel, YEHUDA LAPIDOT, Tamar Schneider, Ran Goshen, Jacob Rachmilewitz, Patricia Ohana, Imad Matouk, Abraham Czerniak and Rasha Abu-lail. Their work appears in journals such as FEBS Letters, Molecular Biology Reports, European Journal of Biochemistry, Placenta and Molecular Human Reproduction.

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.

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