Анна Герасимова

14.8k total citations
18 papers, 746 citations indexed

About

Анна Герасимова is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Анна Герасимова has authored 18 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Анна Герасимова's work include RNA and protein synthesis mechanisms (5 papers), Tuberculosis Research and Epidemiology (3 papers) and Genomics and Phylogenetic Studies (3 papers). Анна Герасимова is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Tuberculosis Research and Epidemiology (3 papers) and Genomics and Phylogenetic Studies (3 papers). Анна Герасимова collaborates with scholars based in United States, Russia and Tajikistan. Анна Герасимова's co-authors include Mikhail S. Gelfand, Bjoern Peters, Dmitry A. Ravcheev, Grégory Seumois, Pandurangan Vijayanand, Alessandro Sette, Cecilia S. Lindestam Arlehamn, Jason Greenbaum, Vsevolod J. Makeev and Adam P. Arkin and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Анна Герасимова

17 papers receiving 738 citations

Peers

Анна Герасимова
Daniel Drocourt France
Poonam Rath United States
Leslie A. Weiss United States
Lihua Qiang China
Jenna McCracken United States
Youhui Si China
Subhendu Basu United States
Jason A. Iskarpatyoti United States
Norbert K. Herzog United States
Allison W. Roberts United States
Daniel Drocourt France
Анна Герасимова
Citations per year, relative to Анна Герасимова Анна Герасимова (= 1×) peers Daniel Drocourt

Countries citing papers authored by Анна Герасимова

Since Specialization
Citations

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

Fields of papers citing papers by Анна Герасимова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Анна Герасимова

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

All Works

18 of 18 papers shown
1.
Герасимова, Анна, et al.. (2025). Development of Tax Support for Agriculture in the Context of Enhancing the Effectiveness of Various Tax Regimes. Экономические и социальные перемены факты тенденции прогноз / Economic and social changes facts trends forecast.
2.
Герасимова, Анна, Ron M. Kagan, Yan Liu, et al.. (2022). Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory. Scientific Reports. 12(1). 2054–2054. 15 indexed citations
3.
Герасимова, Анна, Marie‐Aline Charles, Hairong Li, et al.. (2021). Analytical validation and performance characteristics of a 48-gene next-generation sequencing panel for detecting potentially actionable genomic alterations in myeloid neoplasms. PLoS ONE. 16(4). e0243683–e0243683. 5 indexed citations
4.
Sun, Weimin, Ke Zhang, Yan Liu, et al.. (2020). Development and Validation of a 34‐Gene Inherited Cancer Predisposition Panel Using Next‐Generation Sequencing. BioMed Research International. 2020(1). 3289023–3289023. 5 indexed citations
5.
Герасимова, Анна, et al.. (2017). LEVELS OF SENSITIZATION TO ALLERGENS OF FUNGAL ETIOLOGY AND THE ROLE OF LOCAL IMMUNITY IN DISEASES OF THE MUCOUS MEMBRANE OF THE ORAL CAVITY. The actual problems in dentistry. 13(1). 56–60. 1 indexed citations
6.
Arlehamn, Cecilia S. Lindestam, Grégory Seumois, Анна Герасимова, et al.. (2014). Transcriptional Profile of Tuberculosis Antigen–Specific T Cells Reveals Novel Multifunctional Features. The Journal of Immunology. 193(6). 2931–2940. 72 indexed citations
7.
Seumois, Grégory, Lukas Chávez, Анна Герасимова, et al.. (2014). Epigenomic analysis of primary human T cells reveals enhancers associated with TH2 memory cell differentiation and asthma susceptibility. Nature Immunology. 15(8). 777–788. 136 indexed citations
8.
Герасимова, Анна, Lukas Chávez, Bin Li, et al.. (2013). Predicting Cell Types and Genetic Variations Contributing to Disease by Combining GWAS and Epigenetic Data. PLoS ONE. 8(1). e54359–e54359. 25 indexed citations
9.
Arlehamn, Cecilia S. Lindestam, Анна Герасимова, Federico Mele, et al.. (2013). Memory T Cells in Latent Mycobacterium tuberculosis Infection Are Directed against Three Antigenic Islands and Largely Contained in a CXCR3+CCR6+ Th1 Subset. PLoS Pathogens. 9(1). e1003130–e1003130. 188 indexed citations
10.
Rodionov, Dmitry A., Pavel S. Novichkov, Elena Stavrovskaya, et al.. (2011). Comparative genomic reconstruction of transcriptional networks controlling central metabolism in the Shewanella genus. BMC Genomics. 12(Suppl 1). S3–S3. 72 indexed citations
11.
Герасимова, Анна, Alexey E. Kazakov, Adam P. Arkin, Inna Dubchak, & Mikhail S. Gelfand. (2011). Comparative Genomics of the Dormancy Regulons in Mycobacteria. Journal of Bacteriology. 193(14). 3446–3452. 45 indexed citations
12.
Schmidt, Steffen, et al.. (2008). Hypermutable Non-Synonymous Sites Are under Stronger Negative Selection. PLoS Genetics. 4(11). e1000281–e1000281. 27 indexed citations
13.
Ravcheev, Dmitry A., Анна Герасимова, Andrey A. Mironov, & Mikhail S. Gelfand. (2007). Comparative genomic analysis of regulation of anaerobic respiration in ten genomes from three families of gamma-proteobacteria (Enterobacteriaceae, Pasteurellaceae, Vibrionaceae). BMC Genomics. 8(1). 54–54. 43 indexed citations
14.
Favorov, Alexander V., Mikhail S. Gelfand, Анна Герасимова, et al.. (2005). A Gibbs sampler for identification of symmetrically structured, spaced DNA motifs with improved estimation of the signal length. Computer applications in the biosciences. 21(10). 2240–2245. 73 indexed citations
15.
Dmitriev, Ruslan I., Nikolay B. Pestov, Tatyana V. Korneenko, et al.. (2005). Tissue Specificity of Alternative Splicing of Transcripts Encoding Hampin, a New Mouse Protein Homologous to the Drosophila MSL-1 Protein. Russian Journal of Bioorganic Chemistry. 31(4). 325–331. 8 indexed citations
16.
Герасимова, Анна & Mikhail S. Gelfand. (2005). EVOLUTION OF THE NADR REGULON IN ENTEROBACTERIACEAE. Journal of Bioinformatics and Computational Biology. 3(4). 1007–1019. 21 indexed citations
17.
Герасимова, Анна, Mikhail S. Gelfand, Vsevolod J. Makeev, Mironov AIu, & Alexander V. Favorov. (2003). ArcA regulator of gamma-proteobacteria: Identification of the binding signal and description of the regulon. 48. 4 indexed citations
18.
Герасимова, Анна, Dmitry A. Rodionov, Andrey A. Mironov, & Mikhail S. Gelfand. (2001). Computer Analysis of Regulatory Signals in Bacterial Genomes. Fnr Binding Sites. Molecular Biology. 35(6). 853–861. 6 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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