Nathan de Groot

1.1k total citations
43 papers, 929 citations indexed

About

Nathan de Groot is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Nathan de Groot has authored 43 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Genetics and 5 papers in Immunology. Recurrent topics in Nathan de Groot's work include RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (12 papers) and Genetic Syndromes and Imprinting (10 papers). Nathan de Groot is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (12 papers) and Genetic Syndromes and Imprinting (10 papers). Nathan de Groot collaborates with scholars based in Israel, Germany and United States. Nathan de Groot's co-authors include Abraham Hochberg, Y. Lapidot, Ilana Ariel, Imad Matouk, Patricia Ohana, Abraham Czerniak, Tatiana Birman, Volker A. Erdmann, Michael Elkin and Jan Barciszewski and has published in prestigious journals such as Nature, Nucleic Acids Research and FEBS Letters.

In The Last Decade

Nathan de Groot

43 papers receiving 894 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nathan de Groot Israel	17	742	335	191	112	65	43	929
A Hochberg Israel	13	487 0.7×	292 0.9×	182 1.0×	92 0.8×	79 1.2×	19	765
Esther R. Allay United States	16	954 1.3×	229 0.7×	384 2.0×	292 2.6×	127 2.0×	17	1.3k
B Endlich United States	12	642 0.9×	122 0.4×	131 0.7×	262 2.3×	66 1.0×	18	887
Steven L. Dresler United States	18	648 0.9×	189 0.6×	206 1.1×	84 0.8×	54 0.8×	34	939
M J Ligtenberg Netherlands	8	574 0.8×	124 0.4×	153 0.8×	204 1.8×	210 3.2×	13	870
Sumiko Kaneda Japan	16	816 1.1×	119 0.4×	105 0.5×	339 3.0×	47 0.7×	30	1.1k
Ying-Fei Wei United States	8	860 1.2×	288 0.9×	78 0.4×	198 1.8×	273 4.2×	8	1.1k
M. E. Bramwell United Kingdom	14	684 0.9×	70 0.2×	95 0.5×	120 1.1×	176 2.7×	32	959
Michelle L. Lenzi United States	9	825 1.1×	208 0.6×	327 1.7×	164 1.5×	78 1.2×	9	1.5k
Li‐Jung Juan Taiwan	18	1.1k 1.4×	182 0.5×	131 0.7×	268 2.4×	169 2.6×	20	1.4k

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-authorship network of co-authors of Nathan de Groot

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan de Groot. A scholar is included among the top collaborators of Nathan de Groot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan de Groot. Nathan de Groot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Matouk, Imad, Eli Raveh, Patricia Ohana, et al.. (2013). The Increasing Complexity of the Oncofetal H19 Gene Locus: Functional Dissection and Therapeutic Intervention. International Journal of Molecular Sciences. 14(2). 4298–4316. 82 indexed citations

Czerniak, Abraham, Tally Levy, Imad Matouk, et al.. (2009). Development of targeted therapy for ovarian cancer mediated by a plasmid expressing diphtheria toxin under the control of H19 regulatory sequences. Journal of Translational Medicine. 7(1). 69–69. 116 indexed citations

Ariel, Ilana, Suhail Ayesh, Ofer N. Gofrit, et al.. (2004). Gene expression in the bladder carcinoma rat model. Molecular Carcinogenesis. 41(2). 69–76. 18 indexed citations

Ohana, Patricia, Pinhas Schächter, Basim M. Ayesh, et al.. (2004). Regulatory sequences of H19 and IGF2 genes in DNA‐based therapy of colorectal rat liver metastases. The Journal of Gene Medicine. 7(3). 366–374. 28 indexed citations

Ohana, Patricia, Imad Matouk, Tatiana Birman, et al.. (2002). Use of H19 regulatory sequences for targeted gene therapy in cancer. International Journal of Cancer. 98(5). 645–650. 33 indexed citations

Goldenberg, Daniel, Suhail Ayesh, Tamar Schneider, et al.. (2002). Analysis of differentially expressed genes in hepatocellular carcinoma using cDNA arrays. Molecular Carcinogenesis. 33(2). 113–113. 1 indexed citations

Erdmann, Volker A., et al.. (2001). Regulatory RNAs. Cellular and Molecular Life Sciences. 58(7). 960–977. 69 indexed citations

Ariel, Ilana, Nathan de Groot, & Abraham Hochberg. (2000). ImprintedH19 gene expression in embryogenesis and human cancer: The oncofetal connection. American Journal of Medical Genetics. 91(1). 46–50. 56 indexed citations

Matouk, Imad, Suhail Ayesh, Morris Laster, et al.. (2000). Characterization of human and mouse H19 regulatory sequences. Molecular Biology Reports. 27(3). 157–165. 23 indexed citations

10.

Goshen, Ran, Abraham Hochberg, Rivka Ishai-Michaeli, et al.. (1996). Purification and characterization of placental heparanase and its expression by cultured cytotrophoblasts. Molecular Human Reproduction. 2(9). 679–684. 53 indexed citations

11.

Elkin, Michael, Alexander Shevelev, Ekkehard Schulze, et al.. (1995). The expression of the imprinted H19 and IGF‐2 genes in human bladder carcinoma. FEBS Letters. 374(1). 57–61. 72 indexed citations

12.

Hochberg, Abraham, Bernard Gonik, Ran Goshen, & Nathan de Groot. (1994). A growing relationship between genomic imprinting and tumorigenesis. Cancer Genetics and Cytogenetics. 73(1). 82–83. 10 indexed citations

13.

Biran, Haim, Ilana Ariel, Nathan de Groot, Adi Shani, & Abraham Hochberg. (1994). Human Imprinted Genes as Oncodevelopmental Markers. Tumor Biology. 15(3). 123–134. 31 indexed citations

14.

Kloppstech, Klaus, et al.. (1987). Translational control at the level of initiation between mRNAs for pre‐existing proteins and a 22‐kDa heat‐shock protein of Chlamydomonas by small cytosolic RNAs. European Journal of Biochemistry. 167(3). 501–505. 4 indexed citations

15.

Galski, Hanan, Nathan de Groot, Judith Ilan, & Abraham Hochberg. (1984). Phosphorylation of tyrosine in cultured human placenta. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 804(1). 125–131. 2 indexed citations

16.

Gal, Alma, et al.. (1977). The in vitro reconstitution of rough endoplasmic reticulum membrane derived from human placenta. Life Sciences. 21(6). 779–788. 7 indexed citations

17.

Hochberg, Abraham, et al.. (1975). The in vitro reconstitution of a functional rough membrane active in protein synthesis. Molecular Biology Reports. 2(1). 73–79. 5 indexed citations

18.

Hochberg, Abraham, et al.. (1975). Structure of rough, smooth, stripped and reconstituted rough membranes derived from rat liver as visualized by the freeze fracture technique. Molecular Biology Reports. 2(4). 311–319. 5 indexed citations

19.

Lapidot, Y., et al.. (1973). Thermal Stability of Poly(U) · tRNA: Ribosome Complexes with Phe‐tRNA^Phe and Peptidyl‐tRNA^Phe. European Journal of Biochemistry. 32(3). 576–583. 12 indexed citations

20.

Rahamimoff, Hannah, et al.. (1972). The binding of Phe‐tRNA^Phe and gly₂Phe‐tRNA^Phe to reticulocyte ribosomal peptidyl sites by a mechanism not involving translocation. FEBS Letters. 22(2). 249–251. 10 indexed citations

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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