Stephen Forrow

1.0k total citations
19 papers, 855 citations indexed

About

Stephen Forrow is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Stephen Forrow has authored 19 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Cell Biology. Recurrent topics in Stephen Forrow's work include DNA and Nucleic Acid Chemistry (6 papers), Cancer therapeutics and mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Stephen Forrow is often cited by papers focused on DNA and Nucleic Acid Chemistry (6 papers), Cancer therapeutics and mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Stephen Forrow collaborates with scholars based in United Kingdom, United States and Spain. Stephen Forrow's co-authors include John A. Hartley, Michael D. Wyatt, Robert L. Souhami, Mauro Ponti, M. D’lncalci, J.A. Hartley, Philip W. Howard, Terence C. Jenkins, Stuart C. Wilson and Lloyd R. Kèlland and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Stephen Forrow

19 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Forrow United Kingdom 12 518 388 294 100 79 19 855
Chuandong Fan United States 13 450 0.9× 247 0.6× 333 1.1× 62 0.6× 29 0.4× 23 882
Chiu-Mei Sung United States 11 756 1.5× 388 1.0× 290 1.0× 51 0.5× 41 0.5× 15 1.1k
Paramita Chakraborty United States 19 332 0.6× 322 0.8× 141 0.5× 63 0.6× 33 0.4× 44 902
Eliza Wyszko Poland 18 481 0.9× 113 0.3× 111 0.4× 63 0.6× 95 1.2× 47 825
Takao Matsuzaki Japan 16 541 1.0× 114 0.3× 261 0.9× 45 0.5× 106 1.3× 47 975
Klaus Fischer Germany 13 380 0.7× 141 0.4× 240 0.8× 145 1.4× 32 0.4× 26 830
M Girardet France 8 388 0.7× 233 0.6× 142 0.5× 108 1.1× 135 1.7× 11 694
Ekaterina Yu. Rybalkina Russia 18 318 0.6× 239 0.6× 360 1.2× 76 0.8× 37 0.5× 72 819
Tsuneji Suzuki Japan 10 995 1.9× 353 0.9× 302 1.0× 22 0.2× 20 0.3× 18 1.3k
Vanessa Rodríguez‐Fanjul Spain 15 322 0.6× 212 0.5× 126 0.4× 54 0.5× 55 0.7× 24 620

Countries citing papers authored by Stephen Forrow

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Forrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Forrow

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

All Works

19 of 19 papers shown
1.
Tarrés-Freixas, Ferran, Eva Riveira‐Muñoz, Dàlia Raϊch‐Regué, et al.. (2025). A human-ACE2 knock-in mouse model for SARS-CoV-2 infection recapitulates respiratory disorders but avoids neurological disease associated with the transgenic K18-hACE2 model. mBio. 16(5). e0072025–e0072025. 3 indexed citations
2.
Acosta, Sandra, Mayukh Mondal, Sandra Walsh, et al.. (2024). Exploring Adaptive Phenotypes for the Human Calcium-Sensing Receptor Polymorphism R990G. Molecular Biology and Evolution. 41(2). 3 indexed citations
3.
Mortimer, Thomas, Valentina M. Zinna, Carmelo Laudanna, et al.. (2024). The epidermal circadian clock integrates and subverts brain signals to guarantee skin homeostasis. Cell stem cell. 31(6). 834–849.e4. 17 indexed citations
4.
Segura‐Bayona, Sandra, Philip A. Knobel, Sameh A. Youssef, et al.. (2017). Differential requirements for Tousled-like kinases 1 and 2 in mammalian development. Cell Death and Differentiation. 24(11). 1872–1885. 21 indexed citations
5.
Terré, Berta, Sandra Segura‐Bayona, Gabriel Gil‐Gómez, et al.. (2016). GEMC 1 is a critical regulator of multiciliated cell differentiation. The EMBO Journal. 35(9). 942–960. 76 indexed citations
6.
Walsh, Kenneth, Sarah L. Cutrona, Pamala A. Pawloski, et al.. (2013). B3-2: Validation of Administrative and Claims Data for the Identification of Anaphylaxis Cases in the Mini-Sentinel Distributed Database. Clinical Medicine & Research. 11(3). 168–169. 1 indexed citations
7.
R�os, Susana, Delia Zafra, Mar Garcı́a-Rocha, et al.. (2010). Hepatic Overexpression of a Constitutively Active Form of Liver Glycogen Synthase Improves Glucose Homeostasis. Journal of Biological Chemistry. 285(48). 37170–37177. 30 indexed citations
8.
Samuel, Michael S., June Munro, Sheila Bryson, et al.. (2009). Tissue selective expression of conditionally‐regulated ROCK by gene targeting to a defined locus. genesis. 47(7). 440–446. 17 indexed citations
9.
Jamieson, Susan, Trond Aasen, Sheila Bryson, et al.. (2003). The Effects of a Mutant Connexin 26 on Epidermal Differentiation. Cell Communication & Adhesion. 10(4-6). 359–364. 17 indexed citations
10.
Jamieson, Susan, Trond Aasen, Sheila Bryson, et al.. (2003). The Effects of a Mutant Connexin 26 on Epidermal Differentiation. Cell Communication & Adhesion. 10(4). 359–364. 3 indexed citations
11.
Wilson, Stuart C., Philip W. Howard, Stephen Forrow, et al.. (1999). Design, Synthesis, and Evaluation of a Novel Sequence-Selective Epoxide-Containing DNA Cross-Linking Agent Based on the Pyrrolo[2,1-c][1,4]benzodiazepine System. Journal of Medicinal Chemistry. 42(20). 4028–4041. 62 indexed citations
12.
Forrow, Stephen, et al.. (1995). The effect of AT and GC sequence specific minor groove-binding agents on restriction endonuclease activity. Chemico-Biological Interactions. 96(2). 125–142. 11 indexed citations
13.
Wyatt, Michael D., et al.. (1994). Synthesis and DNA binding properties of a series of N to C linked and imidazole containing analogues of distamycin. Bioorganic & Medicinal Chemistry Letters. 4(6). 801–806. 10 indexed citations
15.
Lee, Moses, et al.. (1993). In vitro cytotoxicity of GC sequence directed alkylating agents related to distamycin. Journal of Medicinal Chemistry. 36(7). 863–870. 37 indexed citations
16.
M, Lee, et al.. (1993). Design, synthesis, and biological evaluation of DNA sequence and minor groove selective alkylating agents.. PubMed. 8(3). 173–92. 23 indexed citations
17.
Ponti, Mauro, Stephen Forrow, Robert L. Souhami, M. D’lncalci, & John A. Hartley. (1991). Measurement of the sequence specificity of covalent DNA modification by antineoplastic agents using Taq DNA polymerase. Nucleic Acids Research. 19(11). 2929–2933. 110 indexed citations
18.
Lee, Moses, et al.. (1991). Synthesis and DNA binding properties of an amidine-linked and phenyl-containing analogue of distamycin A. Bioorganic & Medicinal Chemistry Letters. 1(11). 595–598. 1 indexed citations
19.
Hartley, J.A., Stephen Forrow, & Robert L. Souhami. (1990). Effect of ionic strength and cationic DNA affinity binders on the DNA sequence selective alkylation of guanine N7-positions by nitrogen mustards. Biochemistry. 29(12). 2985–2991. 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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