Andrej Bugrim

2.1k total citations
23 papers, 1.5k citations indexed

About

Andrej Bugrim is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Andrej Bugrim has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Andrej Bugrim's work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Andrej Bugrim is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Andrej Bugrim collaborates with scholars based in United States, Russia and South Korea. Andrej Bugrim's co-authors include Tatiana Nikolskaya, Yuri Nikolsky, Sean Ekins, Eugene Kirillov, Eugene A. Rakhmatulin, Irving R. Epstein, Zoltán Dezső, S. Yu. Sorokina, A.M. Zhabotinsky and Joel Keizer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Andrej Bugrim

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrej Bugrim United States 18 935 277 127 125 109 23 1.5k
Sonia Lobo Planey United States 15 807 0.9× 281 1.0× 91 0.7× 120 1.0× 73 0.7× 26 1.7k
Juan Manuel Ramírez‐Anguita Spain 9 1.5k 1.6× 291 1.1× 217 1.7× 191 1.5× 109 1.0× 21 2.3k
Alessandro Pandini United Kingdom 20 801 0.9× 236 0.9× 55 0.4× 198 1.6× 88 0.8× 47 1.4k
John C. McKew United States 24 933 1.0× 190 0.7× 117 0.9× 70 0.6× 100 0.9× 68 2.1k
Brett Lomenick United States 13 1.3k 1.4× 204 0.7× 81 0.6× 145 1.2× 62 0.6× 27 1.9k
Fabien Vincent United States 18 1.1k 1.2× 267 1.0× 50 0.4× 91 0.7× 148 1.4× 34 1.9k
Rui Hao China 15 1.1k 1.1× 108 0.4× 83 0.7× 167 1.3× 101 0.9× 48 1.6k
Nicola Tolliday United States 20 1.6k 1.7× 223 0.8× 49 0.4× 250 2.0× 117 1.1× 28 2.1k
Murat Iskar Germany 17 1.1k 1.2× 449 1.6× 78 0.6× 79 0.6× 41 0.4× 26 1.4k
Zhe Shi China 20 642 0.7× 269 1.0× 157 1.2× 74 0.6× 123 1.1× 56 1.3k

Countries citing papers authored by Andrej Bugrim

Since Specialization
Citations

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

Fields of papers citing papers by Andrej Bugrim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrej Bugrim

This figure shows the co-authorship network connecting the top 25 collaborators of Andrej Bugrim. A scholar is included among the top collaborators of Andrej Bugrim 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 Andrej Bugrim. Andrej Bugrim 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.
Wang, Xuewei, Zhifu Sun, Michael T. Zimmermann, Andrej Bugrim, & Jean‐Pierre Kocher. (2019). Predict drug sensitivity of cancer cells with pathway activity inference. BMC Medical Genomics. 12(S1). 15–15. 35 indexed citations
2.
Vellaichamy, Adaikkalam, Zoltán Dezső, Lellean JeBailey, et al.. (2010). “Topological Significance” Analysis of Gene Expression and Proteomic Profiles from Prostate Cancer Cells Reveals Key Mechanisms of Androgen Response. PLoS ONE. 5(6). e10936–e10936. 27 indexed citations
3.
Bessarabova, Marina, Eugene Kirillov, Weiwei Shi, et al.. (2010). Bimodal gene expression patterns in breast cancer. BMC Genomics. 11(S1). S8–S8. 37 indexed citations
4.
Dezső, Zoltán, Yuri Nikolsky, Tatiana Nikolskaya, et al.. (2009). Identifying disease-specific genes based on their topological significance in protein networks. BMC Systems Biology. 3(1). 36–36. 91 indexed citations
5.
Dezső, Zoltán, Yuri Nikolsky, Weiwei Shi, et al.. (2008). A comprehensive functional analysis of tissue specificity of human gene expression. BMC Biology. 6(1). 49–49. 156 indexed citations
6.
7.
Wolf, Douglas C., et al.. (2007). Identification of interspecies concordance of mechanisms of arsenic-induced bladder cancer. Toxicology in Vitro. 21(8). 1513–1529. 12 indexed citations
8.
Hassan, Sonia S., Roberto Romero, Adi L. Tarca, et al.. (2007). Signature pathways identified from gene expression profiles in the human uterine cervix before and after spontaneous term parturition. American Journal of Obstetrics and Gynecology. 197(3). 250.e1–250.e7. 42 indexed citations
9.
Ekins, Sean, Andrej Bugrim, Eugene Kirillov, et al.. (2006). Algorithms for network analysis in systems-ADME/Tox using the MetaCore and MetaDrug platforms. Xenobiotica. 36(10-11). 877–901. 109 indexed citations
10.
Ekins, Sean, Yuri Nikolsky, Andrej Bugrim, Eugene Kirillov, & Tatiana Nikolskaya. (2006). Pathway Mapping Tools for Analysis of High Content Data. Humana Press eBooks. 356. 319–350. 200 indexed citations
11.
Ekins, Sean, et al.. (2005). Computational prediction of human drug metabolism. Expert Opinion on Drug Metabolism & Toxicology. 1(2). 303–324. 64 indexed citations
12.
Ekins, Sean, Eugene Kirillov, Eugene A. Rakhmatulin, et al.. (2005). A COMBINED APPROACH TO DRUG METABOLISM AND TOXICITY ASSESSMENT. Drug Metabolism and Disposition. 34(3). 495–503. 85 indexed citations
13.
Nikolsky, Yuri, Tatiana Nikolskaya, & Andrej Bugrim. (2005). Biological networks and analysis of experimental data in drug discovery. Drug Discovery Today. 10(9). 653–662. 76 indexed citations
14.
Nikolsky, Yuri, Sean Ekins, Tatiana Nikolskaya, & Andrej Bugrim. (2005). A novel method for generation of signature networks as biomarkers from complex high throughput data. Toxicology Letters. 158(1). 20–29. 100 indexed citations
15.
Bugrim, Andrej, Tatiana Nikolskaya, & Yuri Nikolsky. (2004). Early prediction of drug metabolism and toxicity: systems biology approach and modeling. Drug Discovery Today. 9(3). 127–135. 138 indexed citations
16.
Bugrim, Andrej, et al.. (2003). Sperm Initiate a Ca2+ Wave in Frog Eggs that is More Similar to Ca2+ Waves Initiated by IP3 than by Ca2+. Biophysical Journal. 84(3). 1580–1590. 31 indexed citations
17.
Bugrim, Andrej, et al.. (1999). Computer Modeling in Physiology: From Cell to Tissue - Session Introduction.. 226–227. 1 indexed citations
18.
Bugrim, Andrej. (1999). Regulation of Ca2+release by cAMP-dependent protein kinase A mechanism for agonist-specific calcium signaling?. Cell Calcium. 25(3). 219–226. 65 indexed citations
19.
Bugrim, Andrej, A.M. Zhabotinsky, & Irving R. Epstein. (1997). Calcium waves in a model with a random spatially discrete distribution of Ca2+ release sites. Biophysical Journal. 73(6). 2897–2906. 59 indexed citations
20.
Bugrim, Andrej, Miloš Dolnik, Anatol M. Zhabotinsky, & Irving R. Epstein. (1996). Heterogeneous Sources of Target Patterns in Reaction−Diffusion Systems. The Journal of Physical Chemistry. 100(49). 19017–19022. 23 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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