David S. Bellows

1.5k total citations
20 papers, 1.1k citations indexed

About

David S. Bellows is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, David S. Bellows has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Epidemiology and 3 papers in Pharmacology. Recurrent topics in David S. Bellows's work include Fungal and yeast genetics research (6 papers), Bioinformatics and Genomic Networks (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). David S. Bellows is often cited by papers focused on Fungal and yeast genetics research (6 papers), Bioinformatics and Genomic Networks (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). David S. Bellows collaborates with scholars based in New Zealand, United States and Canada. David S. Bellows's co-authors include J. Marie Hardwick, Gary S. Hayward, Hong-Guang Guo, Marvin S. Reitz, John Nicholas, Emily H. Cheng, Mike Tyers, Ronan O’Toole, Christopher H. Miller and Jeffrey R. Sharom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

David S. Bellows

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Bellows New Zealand 13 516 404 376 177 155 20 1.1k
Sabine Ottilie United States 19 1.2k 2.4× 270 0.7× 262 0.7× 104 0.6× 338 2.2× 34 1.7k
Jonathan Lowther Australia 19 639 1.2× 238 0.6× 408 1.1× 176 1.0× 45 0.3× 28 1.5k
Fernanda Canduri Brazil 28 1.2k 2.3× 234 0.6× 274 0.7× 253 1.4× 90 0.6× 66 1.6k
Kevin B. Spurgers United States 19 748 1.4× 223 0.6× 227 0.6× 283 1.6× 151 1.0× 30 1.3k
Juliano D. Paccez Brazil 19 419 0.8× 160 0.4× 208 0.6× 153 0.9× 314 2.0× 46 1.0k
L. Tong United Kingdom 15 790 1.5× 199 0.5× 415 1.1× 85 0.5× 95 0.6× 27 1.2k
Qiulong Huang United States 10 507 1.0× 249 0.6× 320 0.9× 211 1.2× 712 4.6× 13 1.5k
Mary M. Bendig United States 19 777 1.5× 171 0.4× 313 0.8× 100 0.6× 269 1.7× 31 1.7k
Mercedes Pardo United Kingdom 25 1.5k 2.9× 196 0.5× 214 0.6× 265 1.5× 133 0.9× 41 2.0k
Florence Fassy France 13 1.0k 2.0× 411 1.0× 153 0.4× 57 0.3× 258 1.7× 18 1.5k

Countries citing papers authored by David S. Bellows

Since Specialization
Citations

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

Fields of papers citing papers by David S. Bellows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Bellows. 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 David S. Bellows. The network helps show where David S. Bellows may publish in the future.

Co-authorship network of co-authors of David S. Bellows

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Bellows. A scholar is included among the top collaborators of David S. Bellows 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 David S. Bellows. David S. Bellows 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.
Wildenhain, Jan, Michaela Spitzer, Sonam Dolma, et al.. (2016). Systematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergism. Scientific Data. 3(1). 160095–160095. 12 indexed citations
2.
Matthews, James, et al.. (2015). Pleiotropic drug-resistance attenuated genomic library improves elucidation of drug mechanisms. Molecular BioSystems. 11(11). 3129–3136. 10 indexed citations
3.
Wildenhain, Jan, Michaela Spitzer, Sonam Dolma, et al.. (2015). Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning. Cell Systems. 1(6). 383–395. 85 indexed citations
4.
Bellows, David S., et al.. (2014). Chemical Genetic and Chemogenomic Analysis in Yeast. Methods in molecular biology. 1205. 169–186. 2 indexed citations
5.
Bircham, Peter W., et al.. (2013). Networks of genes modulating the pleiotropic drug response in Saccharomyces cerevisiae. Molecular BioSystems. 10(1). 128–137. 18 indexed citations
6.
Hanna, Reem, David R. Maass, Paul H. Atkinson, et al.. (2013). Characterizing the laulimalide–peloruside binding site using site-directed mutagenesis of TUB2 in S. cerevisiae. Molecular BioSystems. 10(1). 110–116. 2 indexed citations
7.
Best, Heather, James Matthews, Rosemary Heathcott, et al.. (2013). Laulimalide and peloruside A inhibit mitosis of Saccharomyces cerevisiae by preventing microtubule depolymerisation-dependent steps in chromosome separation and nuclear positioning. Molecular BioSystems. 9(11). 2842–2852. 8 indexed citations
8.
Busby, Bede P., S. Andreas Angermayr, Alice G. Sorgo, et al.. (2012). Molecular basis for fungicidal action of neothyonidioside, a triterpene glycoside from the sea cucumber, Australostichopus mollis. Molecular BioSystems. 8(3). 902–912. 17 indexed citations
9.
Wilmes, Anja, Reem Hanna, Rosemary Heathcott, et al.. (2012). Chemical genetic profiling of the microtubule-targeting agent peloruside A in budding yeast Saccharomyces cerevisiae. Gene. 497(2). 140–146. 12 indexed citations
10.
Davies, Carolina, A. Jonathan Singh, James Matthews, et al.. (2011). The protein synthesis inhibitors mycalamides A and E have limited susceptibility toward the drug efflux network. Journal of Biochemical and Molecular Toxicology. 26(3). 94–100. 8 indexed citations
11.
Miller, John H., et al.. (2011). Lehualides E−K, Cytotoxic Metabolites from the Tongan Marine Sponge Plakortis sp.. Journal of Natural Products. 74(4). 809–815. 8 indexed citations
12.
Miller, Christopher H., et al.. (2010). Evaluation of the Mycobacterium smegmatis and BCG models for the discovery of Mycobacterium tuberculosis inhibitors. Tuberculosis. 90(6). 333–337. 108 indexed citations
13.
Diamandis, Phedias, Jan Wildenhain, Ian D. Clarke, et al.. (2007). Chemical genetics reveals a complex functional ground state of neural stem cells. Nature Chemical Biology. 3(5). 268–273. 121 indexed citations
14.
Chen, Ying‐Bei, Ann Ranger, Suk Jin Hong, et al.. (2004). BAD Is a Pro-survival Factor Prior to Activation of Its Pro-apoptotic Function. Journal of Biological Chemistry. 279(40). 42240–42249. 45 indexed citations
15.
Hardwick, J. Marie & David S. Bellows. (2003). Viral versus cellular BCL-2 proteins. Cell Death and Differentiation. 10(S1). S68–S76. 48 indexed citations
16.
Sharom, Jeffrey R., David S. Bellows, & Mike Tyers. (2003). From large networks to small molecules. Current Opinion in Chemical Biology. 8(1). 81–90. 78 indexed citations
17.
Bellows, David S., et al.. (2002). Epstein-Barr Virus BALF1 Is a BCL-2-Like Antagonist of the Herpesvirus Antiapoptotic BCL-2 Proteins. Journal of Virology. 76(5). 2469–2479. 77 indexed citations
18.
Bellows, David S., et al.. (2000). Antiapoptotic Herpesvirus Bcl-2 Homologs Escape Caspase-Mediated Conversion to Proapoptotic Proteins. Journal of Virology. 74(11). 5024–5031. 5 indexed citations
19.
Bellows, David S., B. Nelson Chau, Percy Lee, et al.. (2000). Antiapoptotic Herpesvirus Bcl-2 Homologs Escape Caspase-Mediated Conversion to Proapoptotic Proteins. Journal of Virology. 74(11). 5024–5031. 118 indexed citations
20.
Cheng, Emily H., John Nicholas, David S. Bellows, et al.. (1997). A Bcl-2 homolog encoded by Kaposi sarcoma-associated virus, human herpesvirus 8, inhibits apoptosis but does not heterodimerize with Bax or Bak. Proceedings of the National Academy of Sciences. 94(2). 690–694. 359 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

Breakdown of academic impact, for papers by Sabine Ottilie Breakdown of academic impact, for papers by Jonathan Lowther Breakdown of academic impact, for papers by Fernanda Canduri Breakdown of academic impact, for papers by Kevin B. Spurgers Breakdown of academic impact, for papers by Juliano D. Paccez Breakdown of academic impact, for papers by L. Tong Breakdown of academic impact, for papers by Qiulong Huang Breakdown of academic impact, for papers by Mary M. Bendig Breakdown of academic impact, for papers by Mercedes Pardo Breakdown of academic impact, for papers by Florence Fassy
Rankless by CCL
2026