Michael Anikin

2.0k total citations
38 papers, 1.5k citations indexed

About

Michael Anikin is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Michael Anikin has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Ecology. Recurrent topics in Michael Anikin's work include RNA and protein synthesis mechanisms (19 papers), Mitochondrial Function and Pathology (9 papers) and DNA and Nucleic Acid Chemistry (9 papers). Michael Anikin is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), Mitochondrial Function and Pathology (9 papers) and DNA and Nucleic Acid Chemistry (9 papers). Michael Anikin collaborates with scholars based in United States, Germany and Russia. Michael Anikin's co-authors include Dmitry Temiakov, William T. McAllister, Dmitry G. Vassylyev, Shigeyuki Yokoyama, Yaroslav I. Morozov, Karen Agaronyan, T.H. Tahirov, Patrick Cramer, M. V. Savkina and Gary S. Goldberg and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Anikin

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Anikin United States 20 1.4k 284 199 197 94 38 1.5k
Alan C. M. Cheung Germany 20 1.8k 1.3× 401 1.4× 51 0.3× 140 0.7× 53 0.6× 27 1.9k
Noah E. Robinson United States 12 1.1k 0.8× 151 0.5× 66 0.3× 32 0.2× 182 1.9× 13 1.5k
Birgitta Beatrix Germany 22 1.5k 1.1× 266 0.9× 21 0.1× 107 0.5× 129 1.4× 29 1.7k
Kendall L. Knight United States 28 1.5k 1.1× 529 1.9× 37 0.2× 135 0.7× 143 1.5× 46 1.7k
Géraldine Farge Sweden 18 1.2k 0.9× 85 0.3× 383 1.9× 102 0.5× 21 0.2× 29 1.5k
P. Bieri Switzerland 10 1.1k 0.8× 70 0.2× 51 0.3× 35 0.2× 64 0.7× 10 1.2k
Kamila Réblová Czechia 23 1.3k 0.9× 100 0.4× 25 0.1× 114 0.6× 75 0.8× 63 1.5k
Tomas Simonsson Sweden 16 2.3k 1.6× 77 0.3× 28 0.1× 124 0.6× 32 0.3× 20 2.4k
Cristina Puchades United States 8 614 0.4× 76 0.3× 60 0.3× 45 0.2× 63 0.7× 8 748
Jacquelynn E. Larson United States 23 1.8k 1.2× 351 1.2× 14 0.1× 177 0.9× 34 0.4× 27 1.9k

Countries citing papers authored by Michael Anikin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Anikin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Anikin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Anikin. A scholar is included among the top collaborators of Michael Anikin 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 Michael Anikin. Michael Anikin 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.
Jones, Julia, Katharina Hofmann, Andrew T. Cowan, et al.. (2019). Yeast mitochondrial protein Pet111p binds directly to two distinct targets in COX2 mRNA, suggesting a mechanism of translational activation. Journal of Biological Chemistry. 294(18). 7528–7536. 14 indexed citations
2.
Hillen, Hauke S., Karen Agaronyan, Yaroslav I. Morozov, et al.. (2017). Mechanism of Transcription Anti-termination in Human Mitochondria. Cell. 171(5). 1082–1093.e13. 67 indexed citations
3.
Morozov, Yaroslav I., Karen Agaronyan, Alan C. M. Cheung, et al.. (2015). A model for transcription initiation in human mitochondria. Nucleic Acids Research. 43(7). 3726–3735. 52 indexed citations
4.
Molodtsov, Vadim, Michael Anikin, & William T. McAllister. (2014). The Presence of an RNA:DNA Hybrid That Is Prone to Slippage Promotes Termination by T7 RNA Polymerase. Journal of Molecular Biology. 426(18). 3095–3107. 18 indexed citations
5.
Morozov, Yaroslav I., Karen Agaronyan, Alan C. M. Cheung, et al.. (2014). A novel intermediate in transcription initiation by human mitochondrial RNA polymerase. Nucleic Acids Research. 42(6). 3884–3893. 55 indexed citations
6.
Shi, Yonghong, M. V. Savkina, Michael Anikin, et al.. (2010). Human Mitochondrial Transcription Revisited. Journal of Biological Chemistry. 285(24). 18129–18133. 159 indexed citations
7.
Savkina, M. V., et al.. (2009). Identification of proteins associated with the yeast mitochondrial RNA polymerase by tandem affinity purification. Yeast. 26(8). 423–440. 26 indexed citations
8.
Savkina, M. V., Dmitry Temiakov, William T. McAllister, & Michael Anikin. (2009). Multiple Functions of Yeast Mitochondrial Transcription Factor Mtf1p during Initiation. Journal of Biological Chemistry. 285(6). 3957–3964. 25 indexed citations
9.
Anikin, Michael, et al.. (2009). TFB2 Is a Transient Component of the Catalytic Site of the Human Mitochondrial RNA Polymerase. Cell. 139(5). 934–944. 107 indexed citations
10.
Bandwar, Rajiv P., Na Ma, Michael Anikin, et al.. (2007). The Transition to an Elongation Complex by T7 RNA Polymerase Is a Multistep Process. Journal of Biological Chemistry. 282(31). 22879–22886. 21 indexed citations
11.
Anikin, Michael, et al.. (2007). Phosphorylation of connexin43 induced by Src: Regulation of gap junctional communication between transformed cells. Experimental Cell Research. 313(20). 4083–4090. 77 indexed citations
12.
Kashkina, Ekaterina, Michael Anikin, T.H. Tahirov, et al.. (2006). Elongation complexes of Thermus thermophilus RNA polymerase that possess distinct translocation conformations. Nucleic Acids Research. 34(14). 4036–4045. 30 indexed citations
13.
Kashkina, Ekaterina, Michael Anikin, Florian Brueckner, et al.. (2006). Template Misalignment in Multisubunit RNA Polymerases and Transcription Fidelity. Molecular Cell. 24(2). 257–266. 34 indexed citations
14.
Temiakov, Dmitry, et al.. (2004). Structural Basis for Substrate Selection by T7 RNA Polymerase. Cell. 116(3). 381–391. 172 indexed citations
15.
Anikin, Michael, et al.. (2003). Probing the Organization of Transcription Complexes Using Photoreactive 4-Thio-Substituted Analogs of Uracil and Thymidine. Methods in enzymology on CD-ROM/Methods in enzymology. 371. 133–143. 7 indexed citations
16.
Anikin, Michael, et al.. (2002). Characterization of T7 RNA Polymerase Transcription Complexes Assembled on Nucleic Acid Scaffolds. Journal of Biological Chemistry. 277(49). 47035–47043. 43 indexed citations
17.
Anikin, Michael, et al.. (2002). Effects of Substitutions in a Conserved DX2GR Sequence Motif, Found in Many DNA-dependent Nucleotide Polymerases, on Transcription by T7 RNA Polymerase. Journal of Molecular Biology. 319(1). 37–51. 19 indexed citations
18.
Tahirov, T.H., Dmitry Temiakov, Michael Anikin, et al.. (2002). Structure of a T7 RNA polymerase elongation complex at 2.9 Å resolution. Nature. 420(6911). 43–50. 208 indexed citations
19.
Ma, Kaiyu, et al.. (2002). Major Conformational Changes Occur during the Transition from an Initiation Complex to an Elongation Complex by T7 RNA Polymerase. Journal of Biological Chemistry. 277(45). 43206–43215. 29 indexed citations
20.

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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