Gal Ehrlich

504 total citations
10 papers, 388 citations indexed

About

Gal Ehrlich is a scholar working on Pharmacology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Gal Ehrlich has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Gal Ehrlich's work include Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (6 papers) and Chemical Synthesis and Analysis (1 paper). Gal Ehrlich is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (6 papers) and Chemical Synthesis and Analysis (1 paper). Gal Ehrlich collaborates with scholars based in Israel, Italy and France. Gal Ehrlich's co-authors include Hermona Soreq, H Zakut, Dalia Ginzberg, Shlomo Seidman, Catherine A. Prody, Deborah Patinkin, F. Eckstein, Yael Loewenstein, R Karpel and Meira Sternfeld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

Gal Ehrlich

10 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gal Ehrlich Israel 9 261 259 162 58 34 10 388
S. Stieger Switzerland 11 189 0.7× 191 0.7× 91 0.6× 93 1.6× 32 0.9× 14 372
Samantha Michaelson Australia 6 174 0.7× 203 0.8× 112 0.7× 48 0.8× 29 0.9× 8 348
Hideshi Kaneko Japan 4 157 0.6× 95 0.4× 66 0.4× 15 0.3× 24 0.7× 11 448
Ana Barat Spain 13 194 0.7× 181 0.7× 78 0.5× 78 1.3× 22 0.6× 34 391
Alain Anselmet France 9 192 0.7× 238 0.9× 128 0.8× 63 1.1× 29 0.9× 15 402
Craig Rosenstein United States 7 110 0.4× 133 0.5× 62 0.4× 56 1.0× 63 1.9× 9 283
Sumie Katayama Japan 7 113 0.4× 93 0.4× 49 0.3× 25 0.4× 20 0.6× 7 369
Yorimasa Suwa Japan 4 151 0.6× 90 0.3× 54 0.3× 11 0.2× 18 0.5× 5 346
Sandra Gunesch Germany 9 146 0.6× 216 0.8× 109 0.7× 27 0.5× 59 1.7× 11 378
Mingliang Lv China 5 210 0.8× 77 0.3× 87 0.5× 11 0.2× 32 0.9× 9 361

Countries citing papers authored by Gal Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Gal Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Ehrlich

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

All Works

10 of 10 papers shown
1.
Gressel, Jonathan & Gal Ehrlich. (2002). Universal inheritable barcodes for identifying organisms. Trends in Plant Science. 7(12). 542–544. 14 indexed citations
2.
Ehrlich, Gal, Dalia Ginzberg, Yael Loewenstein, et al.. (1994). Population Diversity and Distinct Haplotype Frequencies Associated with ACHE and BCHE Genes of Israeli Jews from Trans-caucasian Georgia and from Europe. Genomics. 22(2). 288–295. 25 indexed citations
3.
Karpel, R, Meira Sternfeld, Gal Ehrlich, et al.. (1994). Expression of Three Alternative Acetylcholinesterase Messenger RNAs in Human Tumor Cell Lines of Different Tissue Origins. Experimental Cell Research. 210(2). 268–277. 73 indexed citations
4.
Ehrlich, Gal, Deborah Patinkin, Dalia Ginzberg, et al.. (1994). Use of Partially Phosphorothioated "Antisense" Oligodeoxynucleotides for Sequence-Dependent Modulation of Hematopoiesis in Culture. PubMed. 4(3). 173–183. 28 indexed citations
5.
Ehrlich, Gal, et al.. (1994). Mutations and impaired expression in the ACHE and BCHE genes: neurological implications. Biomedicine & Pharmacotherapy. 48(5-6). 253–259. 5 indexed citations
6.
Lev-Lehman, Efrat, Dalia Ginzberg, Gal Ehrlich, et al.. (1994). Antisense inhibition of acetylcholinesterase gene expression causes transient hematopoietic alterations in vivo.. PubMed. 1(2). 127–35. 35 indexed citations
8.
Patinkin, Deborah, Catherine A. Prody, Gal Ehrlich, et al.. (1992). Cloning and antisense oligodeoxynucleotide inhibition of a human homolog of cdc2 required in hematopoiesis.. Proceedings of the National Academy of Sciences. 89(2). 579–583. 67 indexed citations
9.
Gnatt, Averell, et al.. (1992). Intramolecular relationships in cholinesterases revealed by oocyte expression of site-directed and natural variants of human BCHE.. The EMBO Journal. 11(4). 1641–1649. 43 indexed citations
10.
Zakut, H, Gal Ehrlich, Catherine A. Prody, et al.. (1990). Acetylcholinesterase and butyrylcholinesterase genes coamplify in primary ovarian carcinomas.. Journal of Clinical Investigation. 86(3). 900–908. 63 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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