E Selkov

2.5k total citations
11 papers, 1.1k citations indexed

About

E Selkov is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, E Selkov has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Biomedical Engineering and 2 papers in Materials Chemistry. Recurrent topics in E Selkov's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Genomics and Phylogenetic Studies (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). E Selkov is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Genomics and Phylogenetic Studies (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). E Selkov collaborates with scholars based in United States, Russia and Germany. E Selkov's co-authors include Igor Goryanin, Hongwu Ma, Oleg Demin, Alexander Mazein, Anatoly Sorokin, Charlie Hodgman, Ross Overbeek, Christophe H. Schilling, Jeremy S. Edwards and Bernhard Ø. Palsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Trends in Biochemical Sciences.

In The Last Decade

E Selkov

11 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E Selkov United States	10	966	164	63	52	51	11	1.1k
A. Chang Germany	5	846 0.9×	141 0.9×	92 1.5×	63 1.2×	62 1.2×	6	1.0k
Klaus Mauch Germany	21	1.2k 1.2×	263 1.6×	67 1.1×	36 0.7×	109 2.1×	31	1.4k
Sayed‐Amir Marashi Iran	17	747 0.8×	144 0.9×	59 0.9×	38 0.7×	45 0.9×	80	950
Hannes Link Switzerland	10	582 0.6×	119 0.7×	31 0.5×	55 1.1×	129 2.5×	13	738
Sebastian Niedenführ Germany	11	555 0.6×	129 0.8×	28 0.4×	46 0.9×	28 0.5×	12	669
Ana Paula Oliveira Switzerland	13	1.1k 1.1×	206 1.3×	41 0.7×	64 1.2×	60 1.2×	15	1.2k
Luís F. de Figueiredo Germany	16	819 0.8×	217 1.3×	85 1.3×	18 0.3×	131 2.6×	23	1.1k
Nikolaus Sonnenschein Denmark	20	1.3k 1.4×	503 3.1×	28 0.4×	33 0.6×	119 2.3×	39	1.5k
Joan Planas-Iglesias Czechia	17	758 0.8×	68 0.4×	86 1.4×	107 2.1×	49 1.0×	39	956

Countries citing papers authored by E Selkov

Since Specialization

Citations

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

Fields of papers citing papers by E Selkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Selkov

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

All Works

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11 of 11 papers shown

Ma, Hongwu, Anatoly Sorokin, Alexander Mazein, et al.. (2007). The Edinburgh human metabolic network reconstruction and its functional analysis. Molecular Systems Biology. 3(1). 135–135. 323 indexed citations

Covert, Markus W., Christophe H. Schilling, Iman Famili, et al.. (2001). Metabolic modeling of microbial strains in silico. Trends in Biochemical Sciences. 26(3). 179–186. 231 indexed citations

Selkov, E, Ross Overbeek, Yakov Kogan, et al.. (2000). Functional analysis of gapped microbial genomes: Amino acid metabolism of Thiobacillus ferrooxidans. Proceedings of the National Academy of Sciences. 97(7). 3509–3514. 51 indexed citations

Goryanin, Igor, Charlie Hodgman, & E Selkov. (1999). Mathematical simulation and analysis of cellular metabolism and regulation. Computer applications in the biosciences. 15(9). 749–758. 106 indexed citations

Selkov, E. (1998). MPW: the Metabolic Pathways Database. Nucleic Acids Research. 26(1). 43–45. 91 indexed citations

Selkov, E, Igor Goryanin, Natalia Ivanova, et al.. (1997). The metabolic pathway collection: an update. Nucleic Acids Research. 25(1). 37–38. 31 indexed citations

Overbeek, Ross, N. Larsen, William C. Smith, Natalia Maltsev, & E Selkov. (1997). Representation of function: the next step. Gene. 191(1). GC1–GC9. 28 indexed citations

Larsen, N., Ross Overbeek, Sakti Pramanik, et al.. (1997). Towards microbial data integration. Journal of Industrial Microbiology & Biotechnology. 18(1). 68–72. 2 indexed citations

Selkov, E, Natalia Maltsev, Gary J. Olsen, Ross Overbeek, & William B. Whitman. (1997). A reconstruction of the metabolism of Methanococcus jannaschii from sequence data. Gene. 197(1-2). GC11–GC26. 100 indexed citations

10.

Selkov, E. (1996). The metabolic pathway collection from EMP: the enzymes and metabolic pathways database. Nucleic Acids Research. 24(1). 26–28. 67 indexed citations

11.

Gaasterland, Terry & E Selkov. (1995). Reconstruction of metabolic networks using incomplete information.. PubMed. 3. 127–35. 26 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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