Morris Laster

575 total citations
10 papers, 463 citations indexed

About

Morris Laster is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Morris Laster has authored 10 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Nephrology. Recurrent topics in Morris Laster's work include Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Morris Laster is often cited by papers focused on Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Morris Laster collaborates with scholars based in Israel, United States and United Kingdom. Morris Laster's co-authors include Patricia Ohana, Abraham Hochberg, Suhail Ayesh, Imad Matouk, Tamar Schneider, N DEGROOT, Alik Honigman, Iris Bar, Ela Shai and Dan Gazit and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Diabetologia.

In The Last Decade

Morris Laster

10 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Morris Laster Israel	8	353	135	109	75	40	10	463
Xiuqin Li China	9	243 0.7×	138 1.0×	65 0.6×	54 0.7×	12 0.3×	14	432
James A. Zanghi United States	10	441 1.2×	76 0.6×	53 0.5×	28 0.4×	46 1.1×	16	578
Asoke K. Mal United States	12	519 1.5×	135 1.0×	61 0.6×	35 0.5×	21 0.5×	14	632
Rosetta Martiniello‐Wilks Australia	16	369 1.0×	287 2.1×	34 0.3×	79 1.1×	82 2.0×	31	593
Stéphanie Torrino France	12	390 1.1×	53 0.4×	84 0.8×	17 0.2×	22 0.6×	15	610
Jean‐Claude Ehrhart France	11	364 1.0×	50 0.4×	79 0.7×	39 0.5×	20 0.5×	20	503
Clare Dempsey United Kingdom	10	334 0.9×	73 0.5×	118 1.1×	22 0.3×	31 0.8×	15	592
Madeline Wong United States	13	601 1.7×	101 0.7×	162 1.5×	19 0.3×	26 0.7×	20	817
T Tamaoki Japan	9	316 0.9×	264 2.0×	42 0.4×	98 1.3×	32 0.8×	10	527
Raymond J. Peroutka United States	11	487 1.4×	36 0.3×	68 0.6×	17 0.2×	41 1.0×	12	631

Countries citing papers authored by Morris Laster

Since Specialization

Citations

This map shows the geographic impact of Morris Laster'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 Morris Laster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morris Laster more than expected).

Fields of papers citing papers by Morris Laster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morris Laster. 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 Morris Laster. The network helps show where Morris Laster may publish in the future.

Co-authorship network of co-authors of Morris Laster

This figure shows the co-authorship network connecting the top 25 collaborators of Morris Laster. A scholar is included among the top collaborators of Morris Laster 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 Morris Laster. Morris Laster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Grinstein, Dan, et al.. (2019). Detection of Impending Aggressive Outbursts in Patients with Psychiatric Disorders: Violence Clues from Dogs. Scientific Reports. 9(1). 17228–17228. 3 indexed citations

2.

Laster, Morris, Imad Matouk, Yakov Fellig, & Abraham Hochberg. (2019). When cancer meets quantum mechanics.. PubMed. 112(1-2). 35–51. 2 indexed citations

3.

Reuveni, Hadas, Isaiah D. Wexler, Ravid Sasson, et al.. (2004). Antidiabetic effect of novel modulating peptides of G-protein-coupled kinase in experimental models of diabetes. Diabetologia. 47(7). 1232–1244. 40 indexed citations

4.

Niv, Masha Y., Jacob Cohen, Tamar Licht, et al.. (2004). Sequence-based Design of Kinase Inhibitors Applicable for Therapeutics and Target Identification. Journal of Biological Chemistry. 279(2). 1242–1255. 38 indexed citations

5.

Schächter, Pinhas, Suhail Ayesh, Tamar Schneider, et al.. (2002). Expression of kinase genes in primary hyperparathyroidism: Adenoma versus hyperplastic parathyroid tissue. Surgery. 132(6). 1094–1099. 15 indexed citations

6.

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

7.

Ayesh, Suhail, Imad Matouk, Tamar Schneider, et al.. (2002). Possible physiological role of H19 RNA. Molecular Carcinogenesis. 35(2). 63–74. 101 indexed citations

8.

Honigman, Alik, Patricia Ohana, Einat Tavor, et al.. (2001). Imaging Transgene Expression in Live Animals. Molecular Therapy. 4(3). 239–249. 143 indexed citations

9.

Abdul‐Ghani, Rula, Patricia Ohana, Imad Matouk, et al.. (2000). Use of Transcriptional Regulatory Sequences of Telomerase (hTER and hTERT) for Selective Killing of Cancer Cells. Molecular Therapy. 2(6). 539–544. 65 indexed citations

10.

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

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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