Stanley Hattman

3.7k total citations
108 papers, 3.2k citations indexed

About

Stanley Hattman is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Stanley Hattman has authored 108 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 58 papers in Ecology and 29 papers in Genetics. Recurrent topics in Stanley Hattman's work include Bacteriophages and microbial interactions (58 papers), Epigenetics and DNA Methylation (46 papers) and RNA modifications and cancer (33 papers). Stanley Hattman is often cited by papers focused on Bacteriophages and microbial interactions (58 papers), Epigenetics and DNA Methylation (46 papers) and RNA modifications and cancer (33 papers). Stanley Hattman collaborates with scholars based in United States, Russia and France. Stanley Hattman's co-authors include Samuel L. Schlagman, David Swinton, Karen R. Pratt, Joan E. Brooks, Malthi Masurekar, John H. Proffitt, James Davie, Leszek Berger, E. G. Malygin and Toshio Fukasawa and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Stanley Hattman

108 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanley Hattman United States 34 2.7k 1.2k 936 393 90 108 3.2k
Ahmad I. Bukhari United States 26 1.9k 0.7× 1.3k 1.0× 1.2k 1.3× 306 0.8× 147 1.6× 46 2.4k
Hiroyuki Sugisaki Japan 26 2.2k 0.8× 755 0.6× 1.1k 1.2× 340 0.9× 105 1.2× 40 2.7k
Lucia B. Rothman‐Denes United States 28 1.9k 0.7× 1.0k 0.8× 797 0.9× 254 0.6× 117 1.3× 65 2.2k
Thomas A. Trautner Germany 36 3.4k 1.2× 2.0k 1.6× 2.0k 2.2× 491 1.2× 145 1.6× 101 4.1k
Akira Muto Japan 32 2.9k 1.1× 794 0.6× 1.2k 1.3× 586 1.5× 105 1.2× 93 3.5k
Gisela Mosig United States 28 2.1k 0.8× 1.6k 1.3× 1.1k 1.2× 321 0.8× 70 0.8× 69 2.6k
M. Takanami Japan 30 2.0k 0.7× 791 0.6× 946 1.0× 183 0.5× 101 1.1× 63 2.4k
Lasse Lindahl United States 37 3.7k 1.3× 786 0.6× 1.8k 1.9× 171 0.4× 175 1.9× 88 4.0k
Akiko Higa United States 7 2.0k 0.7× 618 0.5× 1.1k 1.1× 285 0.7× 221 2.5× 17 2.8k
Pierre Prentki Switzerland 23 2.4k 0.9× 952 0.8× 1.5k 1.6× 742 1.9× 120 1.3× 28 3.3k

Countries citing papers authored by Stanley Hattman

Since Specialization
Citations

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

Fields of papers citing papers by Stanley Hattman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanley Hattman

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Hattman. A scholar is included among the top collaborators of Stanley Hattman 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 Stanley Hattman. Stanley Hattman 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.
Malygin, E. G. & Stanley Hattman. (2012). DNA methyltransferases: Mechanistic models derived from kinetic analysis. Critical Reviews in Biochemistry and Molecular Biology. 47(2). 97–193. 16 indexed citations
2.
Malygin, E. G. & Stanley Hattman. (2006). A probabilistic approach to compact steady-state kinetic equations for enzymic reactions. Journal of Theoretical Biology. 242(3). 627–633. 5 indexed citations
3.
Hattman, Stanley. (2005). DNA-[Adenine] Methylation in Lower Eukaryotes. Biochemistry (Moscow). 70(5). 550–558. 51 indexed citations
4.
Horton, J.R., Kirsten Liebert, Stanley Hattman, Albert Jeltsch, & Xiaodong Cheng. (2005). Transition from Nonspecific to Specific DNA Interactions along the Substrate-Recognition Pathway of Dam Methyltransferase. Cell. 121(3). 349–361. 82 indexed citations
5.
Malygin, E. G., et al.. (2004). Bacteriophage T4Dam DNA-(Adenine-N6)-methyltransferase. Journal of Biological Chemistry. 279(48). 50012–50018. 8 indexed citations
6.
Malygin, E. G., William Lindstrom, V. V. Zinoviev, et al.. (2003). Bacteriophage T4Dam (DNA-(Adenine-N)-methyltransferase). Journal of Biological Chemistry. 278(43). 41749–41755. 8 indexed citations
7.
Zinoviev, V. V., et al.. (1998). Phage T4 DNA [N 6 -Adenine] Methyltransferase: Kinetic Studies Using Oligonucleotides Containing Native or Modified Recognition Sites. Biological Chemistry. 379(4-5). 481–488. 26 indexed citations
8.
Sun, Weiyong, Stanley Hattman, & Eric T. Kool. (1997). Interaction of the bacteriophage mu transcriptional activator protein, C, with its target site in the promoter. Journal of Molecular Biology. 273(4). 765–774. 12 indexed citations
9.
Hattman, Stanley & Wei Sun. (1997). Escherichia coli OxyR modulation of bacteriophage Mu mom expression in dam+ cells can be attributed to its ability to bind hemimethylated Pmom promoter DNA. Nucleic Acids Research. 25(21). 4385–4388. 21 indexed citations
10.
Schlagman, Samuel L., et al.. (1995). Function of Pro‐185 in the ProCys of conserved motif IV in the EcoRII [cytosine‐C5]‐DNA methyltransferase. FEBS Letters. 370(1-2). 75–77. 12 indexed citations
11.
Schlagman, Samuel L., et al.. (1995). Studies on the function of conserved sequence motifs in the T4 Dam-[N6-adenine] and EcoRII [C5-cytosine] DNA methyltransferases. Gene. 157(1-2). 125–126. 2 indexed citations
12.
Schlagman, Samuel L., et al.. (1993). Conserved sequence motif DPPY in region IV of the phage T4 Dam DNA-[N6-adenine]-methyltransferase is important for S-adenosyl-L-methionine binding. Nucleic Acids Research. 21(15). 3563–3566. 31 indexed citations
13.
14.
Schlagman, Samuel L., et al.. (1993). Conserved sequence motif DPPY in region IV of the phage T4 Dam DNA-[N6-adenine]-methyltransferase is important for S-adenosyl-L-methionine binding. Nucleic Acids Research. 21(20). 4659–4662. 20 indexed citations
15.
Nagaraja, Valakunja, et al.. (1992). Functionally distinct RNA polymerase binding sites in the phage Mumompromoter region. Nucleic Acids Research. 20(11). 2777–2784. 27 indexed citations
16.
17.
Miner, Zoe, Samuel L. Schlagman, & Stanley Hattman. (1989). Single amino acid changes that alter the DNA sequence specificity of the DNA-[N6-adenine] methyltransferase (Dam) of bacteriophage T4. Nucleic Acids Research. 17(20). 8149–8157. 16 indexed citations
18.
Szybalski, Waclaw, Robert Blumenthal, Joan E. Brooks, Stanley Hattman, & Elisabeth A. Raleigh. (1988). Nomenclature for bacterial genes coding for class-II restriction endonucleases and modification methyltransferases. Gene. 74(1). 277–280. 34 indexed citations
19.
Schlagman, Samuel L., et al.. (1988). The DNA [adenine-N6]methyltransferase (Dam) of bacteriophage T4. Gene. 73(2). 517–530. 19 indexed citations
20.
Pratt, Karen R. & Stanley Hattman. (1981). Deoxyribonucleic Acid Methylation and Chromatin Organization in Tetrahymena thermophila. Molecular and Cellular Biology. 1(7). 600–608. 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.

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