Gad Glaser

5.7k total citations · 1 hit paper
66 papers, 4.6k citations indexed

About

Gad Glaser is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Gad Glaser has authored 66 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 26 papers in Genetics and 21 papers in Ecology. Recurrent topics in Gad Glaser's work include Bacterial Genetics and Biotechnology (25 papers), RNA and protein synthesis mechanisms (21 papers) and Bacteriophages and microbial interactions (21 papers). Gad Glaser is often cited by papers focused on Bacterial Genetics and Biotechnology (25 papers), RNA and protein synthesis mechanisms (21 papers) and Bacteriophages and microbial interactions (21 papers). Gad Glaser collaborates with scholars based in Israel, United States and Germany. Gad Glaser's co-authors include Hanna Engelberg–Kulka, Michael Cashel, Elias Aizenman, Gideon Schreiber, Hua Xiao, Sharon Zemel, Kenji Ikehara, Miklós Kálmán, Irina Marianovsky and Shula Metzger and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gad Glaser

66 papers receiving 4.5k citations

Hit Papers

Residual guanosine 3‘,5‘-bispyrophosphate synthetic activ... 1991 2026 2002 2014 1991 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gad Glaser Israel 32 3.0k 2.5k 1.3k 676 649 66 4.6k
Joachim‐Volker Höltje Germany 34 2.7k 0.9× 2.7k 1.1× 1.5k 1.1× 853 1.3× 491 0.8× 55 4.6k
A. P. Pugsley France 39 3.2k 1.1× 3.1k 1.2× 1.2k 0.9× 635 0.9× 1.3k 1.9× 78 5.7k
Yukinori Hirota Japan 44 4.9k 1.6× 3.5k 1.4× 1.4k 1.1× 959 1.4× 512 0.8× 107 6.6k
Hanna Engelberg–Kulka Israel 31 2.7k 0.9× 2.5k 1.0× 1.5k 1.1× 948 1.4× 830 1.3× 65 4.4k
Christopher K. Rode United States 12 4.7k 1.6× 2.7k 1.1× 1.4k 1.1× 519 0.8× 1.3k 1.9× 15 6.8k
Anders Løbner‐Olesen Denmark 38 3.5k 1.1× 3.0k 1.2× 1.2k 0.9× 823 1.2× 818 1.3× 111 5.2k
Bauke Oudega Netherlands 42 3.5k 1.2× 2.9k 1.1× 1.2k 0.9× 386 0.6× 1.1k 1.7× 114 5.1k
Hajime Tokuda Japan 43 3.4k 1.1× 2.6k 1.0× 610 0.5× 981 1.5× 662 1.0× 129 5.4k
Kathleen Postle United States 38 3.0k 1.0× 2.8k 1.1× 773 0.6× 780 1.2× 693 1.1× 62 4.8k
Judah L. Rosner United States 34 2.3k 0.8× 1.9k 0.7× 591 0.5× 1.1k 1.6× 613 0.9× 57 3.7k

Countries citing papers authored by Gad Glaser

Since Specialization
Citations

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

Fields of papers citing papers by Gad Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gad Glaser

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

All Works

20 of 20 papers shown
1.
Gutiérrez, Ricardo, Yoav Ram, Judith Berman, et al.. (2021). Adaptive Resistance Mutations at Suprainhibitory Concentrations Independent of SOS Mutagenesis. Molecular Biology and Evolution. 38(10). 4095–4115. 8 indexed citations
2.
Ronin, Irine, et al.. (2013). HipA-mediated antibiotic persistence via phosphorylation of the glutamyl-tRNA-synthetase. Nature Communications. 4(1). 3001–3001. 197 indexed citations
3.
Wexselblatt, Ezequiel, et al.. (2013). Design, synthesis and structure–activity relationship of novel Relacin analogs as inhibitors of Rel proteins. European Journal of Medicinal Chemistry. 70. 497–504. 43 indexed citations
4.
Lah, Jurij, Gorazd Vesnaver, Irina Marianovsky, et al.. (2005). Energetics of Structural Transitions of the Addiction Antitoxin MazE. Journal of Biological Chemistry. 280(17). 17397–17407. 23 indexed citations
5.
Marianovsky, Irina, et al.. (2005). MazG – a regulator of programmed cell death in Escherichia coli. Molecular Microbiology. 59(2). 590–601. 111 indexed citations
6.
Rochman, Mark, et al.. (2004). Buffering of stable RNA promoter activity against DNA relaxation requires a far upstream sequence. Molecular Microbiology. 53(1). 143–152. 16 indexed citations
7.
Loris, Remy, Irina Marianovsky, Jurij Lah, et al.. (2003). Crystal Structure of the Intrinsically Flexible Addiction Antidote MazE. Journal of Biological Chemistry. 278(30). 28252–28257. 106 indexed citations
8.
Lah, Jurij, Irina Marianovsky, Gad Glaser, et al.. (2003). Recognition of the Intrinsically Flexible Addiction Antidote MazE by a Dromedary Single Domain Antibody Fragment. Journal of Biological Chemistry. 278(16). 14101–14111. 31 indexed citations
9.
Marianovsky, Irina, Einat Aizenman, Hanna Engelberg–Kulka, & Gad Glaser. (2001). The Regulation of the Escherichia coli mazEF Promoter Involves an Unusual Alternating Palindrome. Journal of Biological Chemistry. 276(8). 5975–5984. 111 indexed citations
10.
Giladi, Hilla, et al.. (1996). Analysis of the shut-off of ribosomal RNA promoters inEscherichia coliupon entering the stationary phase of growth. FEMS Microbiology Letters. 140(1). 71–76. 25 indexed citations
11.
Giladi, Hilla, et al.. (1994). Expression of the genes coding for the Escherichia coli integration host factor are controlled by growth phase, rpoS, ppGpp and by autoregulation. Molecular Microbiology. 14(5). 1021–1031. 94 indexed citations
12.
Karpel, R, et al.. (1992). NhaR, a protein homologous to a family of bacterial regulatory proteins (LysR), regulates nhaA, the sodium proton antiporter gene in Escherichia coli.. Journal of Biological Chemistry. 267(15). 10433–10438. 78 indexed citations
13.
Xiao, Hua, Miklós Kálmán, Kenji Ikehara, et al.. (1991). Residual guanosine 3‘,5‘-bispyrophosphate synthetic activity of relA null mutants can be eliminated by spoT null mutations.. Journal of Biological Chemistry. 266(9). 5980–5990. 621 indexed citations breakdown →
14.
Gafny, Ron, et al.. (1989). Ribosome associated protein(s) specifically bind(s) to the upstream activator sequence of theE. coli rrnA P1 promoter. Nucleic Acids Research. 17(23). 9811–9822. 28 indexed citations
15.
Metzger, Shula, Edoardo Sarubbi, Gad Glaser, & Michael Cashel. (1989). Protein Sequences Encoded by the relA and the spoT Genes of Escherichia coli Are Interrelated. Journal of Biological Chemistry. 264(16). 9122–9125. 56 indexed citations
16.
17.
Barile, Michael F., et al.. (1984). Characterization of the mycoplasma genome.. PubMed. 56(5-6). 357–66. 22 indexed citations
18.
Amikam, Dorit, Shmuel Razin, & Gad Glaser. (1982). Ribosomal RNA genes in Mycoplasma. Nucleic Acids Research. 10(14). 4215–4222. 58 indexed citations
19.
Chevion, Mordechai, et al.. (1982). The Chemistry of Favism‐Inducing Compounds. European Journal of Biochemistry. 127(2). 405–409. 93 indexed citations
20.
Glaser, Gad & Michael Cashel. (1979). In vitro transcripts from the rrn B ribosomal RNA cistron originate from two tandem promoters. Cell. 16(1). 111–121. 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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