Ann E. Cutting

419 total citations
8 papers, 377 citations indexed

About

Ann E. Cutting is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Ann E. Cutting has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Ann E. Cutting's work include DNA and Nucleic Acid Chemistry (4 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Ann E. Cutting is often cited by papers focused on DNA and Nucleic Acid Chemistry (4 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Ann E. Cutting collaborates with scholars based in United States. Ann E. Cutting's co-authors include Dowain A. Wright, Joseph A. Sorge, Eric H. Davidson, Roy J. Britten, Christer Höög, Frank J. Calzone, David B. Teplow, James W. Gautsch, Donna L. Livant and Parul Kudtarkar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Development.

In The Last Decade

Ann E. Cutting

8 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ann E. Cutting United States	7	312	185	39	37	30	8	377
John W. Brandis United States	10	143 0.5×	34 0.2×	21 0.5×	27 0.7×	78 2.6×	14	303
Susan Lobo United States	12	958 3.1×	134 0.7×	12 0.3×	21 0.6×	33 1.1×	16	1.0k
Chris A.G. van Eekelen Netherlands	9	331 1.1×	65 0.4×	4 0.1×	19 0.5×	14 0.5×	10	398
Fatine Benjelloun France	6	257 0.8×	144 0.8×	11 0.3×	19 0.5×	33 1.1×	7	376
Nava Baran Israel	15	470 1.5×	113 0.6×	6 0.2×	24 0.6×	14 0.5×	23	640
Dale Lindsley United States	17	527 1.7×	141 0.8×	11 0.3×	13 0.4×	21 0.7×	22	618
Tiina Sedman Estonia	10	266 0.9×	88 0.5×	10 0.3×	79 2.1×	30 1.0×	15	349
S Nishida Japan	6	114 0.4×	181 1.0×	53 1.4×	6 0.2×	21 0.7×	9	300
Chin-Chun Hung Taiwan	10	166 0.5×	147 0.8×	37 0.9×	57 1.5×	55 1.8×	14	318
Glenn Albrecht France	7	233 0.7×	55 0.3×	13 0.3×	10 0.3×	19 0.6×	9	301

Countries citing papers authored by Ann E. Cutting

Since Specialization

Citations

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

Fields of papers citing papers by Ann E. Cutting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann E. Cutting

This figure shows the co-authorship network connecting the top 25 collaborators of Ann E. Cutting. A scholar is included among the top collaborators of Ann E. Cutting 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 E. Cutting. Ann E. Cutting 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:

8 of 8 papers shown

1.

Wang, Lijun, Kari Koppitch, Ann E. Cutting, et al.. (2018). Developmental effector gene regulation: Multiplexed strategies for functional analysis. Developmental Biology. 445(1). 68–79. 5 indexed citations

2.

Höög, Christer, Frank J. Calzone, Ann E. Cutting, Roy J. Britten, & Eric H. Davidson. (1991). Gene regulatory factors of the sea urchin embryo: II. Two dissimilar proteins, P3A1 and P3A2, bind to the same target sites that are required for early territorial gene expression. Development. 112(1). 351–364. 39 indexed citations

3.

Calzone, Frank J., Christer Höög, David B. Teplow, et al.. (1991). Gene regulatory factors of the sea urchin embryo: I. Purification by affinity chromatography and cloning of P3A2, a novel DNA-binding protein. Development. 112(1). 335–350. 94 indexed citations

4.

Cutting, Ann E., Christer Höög, Frank J. Calzone, Roy J. Britten, & Eric H. Davidson. (1990). Rare maternal mRNAs code for regulatory proteins that control lineage-specific gene expression in the sea urchin embryo.. Proceedings of the National Academy of Sciences. 87(20). 7953–7957. 18 indexed citations

5.

Livant, Donna L., Ann E. Cutting, Roy J. Britten, & Eric H. Davidson. (1988). An in vivo titration of regulatory factors required for expression of a fusion gene in transgenic sea urchin embryos.. Proceedings of the National Academy of Sciences. 85(20). 7607–7611. 33 indexed citations

6.

Sorge, Joseph A., et al.. (1984). Integration-specific retrovirus expression in embryonal carcinoma cells.. Proceedings of the National Academy of Sciences. 81(21). 6627–6631. 44 indexed citations

7.

Sorge, Joseph A., et al.. (1984). Amphotropic retrovirus vector system for human cell gene transfer.. Molecular and Cellular Biology. 4(9). 1730–1737. 91 indexed citations

8.

Wright, Dowain A., et al.. (1984). Amphotropic Retrovirus Vector System for Human Cell Gene Transfer. Molecular and Cellular Biology. 4(9). 1730–1737. 53 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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