Michael Cutler

626 total citations
9 papers, 478 citations indexed

About

Michael Cutler is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Michael Cutler has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Ecology. Recurrent topics in Michael Cutler's work include Glycosylation and Glycoproteins Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and RNA modifications and cancer (2 papers). Michael Cutler is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and RNA modifications and cancer (2 papers). Michael Cutler collaborates with scholars based in United States, Sweden and China. Michael Cutler's co-authors include Kenneth K. Tanabe, Kazuhisa Takahashi, Ivan Stamenkovic, Martin F. Polz, Kenneth C. Kleene, Philip Arevalo, Radhey Shyam Sharma, Kathryn M. Kauffman, David VanInsberghe and Fatima A. Hussain and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Michael Cutler

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Cutler United States	7	317	162	99	65	52	9	478
Mélina Arguin Canada	9	325 1.0×	71 0.4×	32 0.3×	149 2.3×	48 0.9×	12	487
Benjamin J. Barnhart United States	11	309 1.0×	76 0.5×	103 1.0×	112 1.7×	19 0.4×	26	460
M. Tamburrini Italy	12	302 1.0×	61 0.4×	102 1.0×	47 0.7×	174 3.3×	12	694
Hazel C. Gorham United Kingdom	9	606 1.9×	42 0.3×	100 1.0×	126 1.9×	155 3.0×	13	769
Silvana Gargano Italy	14	612 1.9×	46 0.3×	133 1.3×	100 1.5×	199 3.8×	22	742
Arne Deggerdal Norway	11	325 1.0×	56 0.3×	36 0.4×	44 0.7×	27 0.5×	16	495
Ayako Naito Japan	9	436 1.4×	37 0.2×	34 0.3×	138 2.1×	34 0.7×	13	616
Lagle Kasak Estonia	11	378 1.2×	95 0.6×	51 0.5×	271 4.2×	35 0.7×	15	565
Patrick N. Shaklee United States	10	297 0.9×	40 0.2×	253 2.6×	66 1.0×	51 1.0×	12	459
Laura Miguel-Romero Spain	8	269 0.8×	107 0.7×	23 0.2×	111 1.7×	34 0.7×	16	400

Countries citing papers authored by Michael Cutler

Since Specialization

Citations

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

Fields of papers citing papers by Michael Cutler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cutler

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

9 of 9 papers shown

1.

Kauffman, Kathryn M., Fatima A. Hussain, Joy Yang, et al.. (2018). A major lineage of non-tailed dsDNA viruses as unrecognized killers of marine bacteria. Nature. 554(7690). 118–122. 142 indexed citations

2.

Wang, Lianrong, Shi Chen, Kevin L. Vergin, et al.. (2011). DNA phosphorothioation is widespread and quantized in bacterial genomes. Proceedings of the National Academy of Sciences. 108(7). 2963–2968. 122 indexed citations

3.

Takahashi, Kazuhisa, et al.. (1996). Keratan Sulfate Modification of CD44 Modulates Adhesion to Hyaluronate. Journal of Biological Chemistry. 271(16). 9490–9496. 74 indexed citations

4.

Takahashi, Kazuhisa, et al.. (1996). O-linked Glycosylation Modifies CD44 Adhesion to Hyaluronate in Colon Carcinoma Cells. Biochemical and Biophysical Research Communications. 227(1). 110–117. 34 indexed citations

5.

Tanabe, Kenneth K., Ivan Stamenkovic, Michael Cutler, & Kazuhisa Takahashi. (1995). Restoration of CD44H Expression in Colon Carcinomas Reduces Tumorigenicity. Annals of Surgery. 222(4). 493–503. 23 indexed citations

6.

Tanabe, Kenneth K., Ivan Stamenkovic, Michael Cutler, & Kazuhisa Takahashi. (1995). Restoration of CD44H Expression in Colon Carcinomas Reduces Tumorigenicity. Annals of Surgery. 222(4). 493–503. 1 indexed citations

7.

Kleene, Kenneth C., et al.. (1994). Developmental expression of poly(A) binding protein mRNAs during spermatogenesis in the mouse. Molecular Reproduction and Development. 39(4). 355–364. 54 indexed citations

8.

Jarrett, Jeremiah N., et al.. (1993). Seasonal variation in pH and alkalinity and recruitment of sunfish populations. Freshwater Biology. 30(3). 409–417. 6 indexed citations

9.

Wang, Mingyu, et al.. (1992). Nucleotide sequence of a mouse testis poly(A) binding protein cDNA. Nucleic Acids Research. 20(13). 3519–3519. 22 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.

Explore authors with similar magnitude of impact