Ann Grens

838 total citations
9 papers, 719 citations indexed

About

Ann Grens is a scholar working on Molecular Biology, Paleontology and Cell Biology. According to data from OpenAlex, Ann Grens has authored 9 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Paleontology and 4 papers in Cell Biology. Recurrent topics in Ann Grens's work include Amino Acid Enzymes and Metabolism (4 papers), Marine Invertebrate Physiology and Ecology (4 papers) and Polyamine Metabolism and Applications (4 papers). Ann Grens is often cited by papers focused on Amino Acid Enzymes and Metabolism (4 papers), Marine Invertebrate Physiology and Ecology (4 papers) and Polyamine Metabolism and Applications (4 papers). Ann Grens collaborates with scholars based in United States, Germany and Japan. Ann Grens's co-authors include Immo E. Scheffler, Hans R. Bode, Lydia Gee, Douglas A. Fisher, Elizabeth A. Mason, J. Lawrence Marsh, Carolyn Steglich, Lori K. Dircks, Sabine Hoffmeister and Hiroshi Shimizu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ann Grens

9 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Grens United States 9 498 306 214 154 85 9 719
Tomoo Sawada Japan 14 299 0.6× 39 0.1× 95 0.4× 18 0.1× 169 2.0× 37 660
R. D. Zinovieva Russia 16 727 1.5× 38 0.1× 128 0.6× 19 0.1× 35 0.4× 28 898
Werner A. Müller Germany 17 441 0.9× 676 2.2× 112 0.5× 6 0.0× 383 4.5× 32 1.1k
Vanessa N. Moy United States 8 760 1.5× 91 0.3× 30 0.1× 7 0.0× 137 1.6× 8 1.2k
Imad Shams Israel 18 529 1.1× 106 0.3× 58 0.3× 25 0.2× 9 0.1× 34 981
S.I. Tomarev United States 9 609 1.2× 25 0.1× 71 0.3× 14 0.1× 15 0.2× 12 721
Fumie Sakai Japan 18 758 1.5× 35 0.1× 62 0.3× 183 1.2× 119 1.4× 27 2.0k
Jeffrey J. Lange United States 16 629 1.3× 39 0.1× 156 0.7× 9 0.1× 108 1.3× 35 741
Sandy Richter Germany 13 184 0.4× 45 0.1× 34 0.2× 14 0.1× 26 0.3× 19 450
Thomas H. Meedel United States 16 526 1.1× 20 0.1× 23 0.1× 24 0.2× 318 3.7× 23 761

Countries citing papers authored by Ann Grens

Since Specialization
Citations

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

Fields of papers citing papers by Ann Grens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Grens

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

All Works

9 of 9 papers shown
1.
Grens, Ann, Hiroshi Shimizu, Sabine Hoffmeister, Hans R. Bode, & Toshitaka Fujisawa. (1999). The novel signal peptides, Pedibin and Hym-346, lower positional value thereby enhancing foot formation in hydra. Development. 126(3). 517–524. 50 indexed citations
2.
Grens, Ann, Lydia Gee, Douglas A. Fisher, & Hans R. Bode. (1996). CnNK-2,an NK-2 Homeobox Gene, Has a Role in Patterning the Basal End of the Axis in Hydra. Developmental Biology. 180(2). 473–488. 159 indexed citations
3.
Grens, Ann, Elizabeth A. Mason, J. Lawrence Marsh, & Hans R. Bode. (1995). Evolutionary conservation of a cell fate specification gene: the Hydra achaete-scute homolog has proneural activity in Drosophila. Development. 121(12). 4027–4035. 125 indexed citations
4.
Sarras, Michael P., Yan Li, Ann Grens, et al.. (1994). Cloning and Biological Function of Laminin in Hydra vulgaris. Developmental Biology. 164(1). 312–324. 69 indexed citations
5.
Chan, Shu Jin, Anthony A. Oliva, J LaMendola, et al.. (1992). Conservation of the prohormone convertase gene family in metazoa: analysis of cDNAs encoding a PC3-like protein from hydra.. Proceedings of the National Academy of Sciences. 89(15). 6678–6682. 55 indexed citations
6.
Grens, Ann & Immo E. Scheffler. (1990). The 5'- and 3'-untranslated regions of ornithine decarboxylase mRNA affect the translational efficiency.. Journal of Biological Chemistry. 265(20). 11810–11816. 126 indexed citations
7.
Grens, Ann, Carolyn Steglich, Renate B. Pilz, & Immo E. Scheffler. (1989). Nucleotide sequence of the Chinese hamster ornithine decarboxylase gene. Nucleic Acids Research. 17(24). 10497–10497. 21 indexed citations
8.
Dircks, Lori K., et al.. (1986). Posttranscriptional regulation of ornithine decarboxylase activity. Journal of Cellular Physiology. 126(3). 371–378. 60 indexed citations
9.
Steglich, Carolyn, Ann Grens, & Immo E. Scheffler. (1985). Chinese hamster cells deficient in ornithine decarboxylase activity: Reversion by gene amplification and by azacytidine treatment. Somatic Cell and Molecular Genetics. 11(1). 11–23. 54 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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