Anna Lyubetskaya

3.0k total citations · 1 hit paper
21 papers, 1.7k citations indexed

About

Anna Lyubetskaya is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Anna Lyubetskaya has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Genetics. Recurrent topics in Anna Lyubetskaya's work include Adipose Tissue and Metabolism (4 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). Anna Lyubetskaya is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). Anna Lyubetskaya collaborates with scholars based in United States, Denmark and Kuwait. Anna Lyubetskaya's co-authors include Danielle Tenen, Evan D. Rosen, Linus Tsai, John N. Campbell, Jon M. Resch, Henning Fenselau, Bradford B. Lowell, Manju Kumari, Hyun Cheol Roh and Tune H. Pers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Anna Lyubetskaya

20 papers receiving 1.7k citations

Hit Papers

A molecular census of arcuate hypothalamus and median emi... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Lyubetskaya United States 18 705 616 389 381 143 21 1.7k
A. Basse Denmark 25 576 0.8× 925 1.5× 238 0.6× 319 0.8× 87 0.6× 59 1.9k
Andrea Mesaros Germany 11 371 0.5× 470 0.8× 325 0.8× 293 0.8× 256 1.8× 17 1.3k
Rafael Vázquez-Martı́nez Spain 24 610 0.9× 393 0.6× 193 0.5× 333 0.9× 64 0.4× 56 1.5k
Mathias Z. Strowski Germany 30 881 1.2× 504 0.8× 657 1.7× 556 1.5× 80 0.6× 78 2.5k
Ganapathy K. Bhat United States 17 493 0.7× 391 0.6× 564 1.4× 198 0.5× 118 0.8× 31 1.7k
Thierry Lesté-Lasserre France 24 387 0.5× 368 0.6× 215 0.6× 204 0.5× 94 0.7× 49 1.5k
Giovanni Tulipano Italy 21 891 1.3× 290 0.5× 241 0.6× 360 0.9× 83 0.6× 49 1.7k
Gina L. C. Yosten United States 22 474 0.7× 466 0.8× 712 1.8× 203 0.5× 44 0.3× 57 1.6k
P. J. Lowry United Kingdom 32 763 1.1× 348 0.6× 406 1.0× 198 0.5× 173 1.2× 82 2.8k
Tohko Iida Japan 16 455 0.6× 756 1.2× 235 0.6× 118 0.3× 132 0.9× 22 2.2k

Countries citing papers authored by Anna Lyubetskaya

Since Specialization
Citations

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

Fields of papers citing papers by Anna Lyubetskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Lyubetskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Lyubetskaya. A scholar is included among the top collaborators of Anna Lyubetskaya 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 Anna Lyubetskaya. Anna Lyubetskaya 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.
Lyubetskaya, Anna, Brian Rabe, Andrew Fisher, et al.. (2022). Assessment of spatial transcriptomics for oncology discovery. Cell Reports Methods. 2(11). 100340–100340. 23 indexed citations
2.
Mendoza, Arturo, Jinyoung Choi, Bhavna N. Desai, et al.. (2021). Thyroid hormone signaling promotes hepatic lipogenesis through the transcription factor ChREBP. Science Signaling. 14(709). eabh3839–eabh3839. 20 indexed citations
3.
Roh, Hyun Cheol, Manju Kumari, Danielle Tenen, et al.. (2020). Adipocytes fail to maintain cellular identity during obesity due to reduced PPARγ activity and elevated TGFβ-SMAD signaling. Molecular Metabolism. 42. 101086–101086. 33 indexed citations
5.
Kong, Xingxing, Ting Yao, Peng Zhou, et al.. (2018). Brown Adipose Tissue Controls Skeletal Muscle Function via the Secretion of Myostatin. Cell Metabolism. 28(4). 631–643.e3. 171 indexed citations
6.
Roh, Hyun Cheol, Linus Tsai, Mengle Shao, et al.. (2018). Warming Induces Significant Reprogramming of Beige, but Not Brown, Adipocyte Cellular Identity. Cell Metabolism. 27(5). 1121–1137.e5. 166 indexed citations
7.
Nilsson, Emma, Danielle Tenen, Anna Lyubetskaya, et al.. (2017). Dnmt3a is an epigenetic mediator of adipose insulin resistance. eLife. 6. 98 indexed citations
8.
Resch, Jon M., Henning Fenselau, Joseph C. Madara, et al.. (2017). Aldosterone-Sensing Neurons in the NTS Exhibit State-Dependent Pacemaker Activity and Drive Sodium Appetite via Synergy with Angiotensin II Signaling. Neuron. 96(1). 190–206.e7. 73 indexed citations
9.
Roh, Hyun Cheol, Linus Tsai, Anna Lyubetskaya, et al.. (2017). Simultaneous Transcriptional and Epigenomic Profiling from Specific Cell Types within Heterogeneous Tissues In Vivo. Cell Reports. 18(4). 1048–1061. 90 indexed citations
10.
Campbell, John N., Evan Z. Macosko, Henning Fenselau, et al.. (2017). A molecular census of arcuate hypothalamus and median eminence cell types. Nature Neuroscience. 20(3). 484–496. 560 indexed citations breakdown →
11.
Wu, Cheng, Kristina Smith, Teresa M. Lamb, et al.. (2017). TheNeurosporaTranscription Factor ADV-1 Transduces Light Signals and Temporal Information to Control Rhythmic Expression of Genes Involved in Cell Fusion. G3 Genes Genomes Genetics. 7(1). 129–142. 27 indexed citations
12.
Singh, Atul K., Anna Lyubetskaya, Matthew Peterson, et al.. (2016). Comprehensive Definition of the SigH Regulon of Mycobacterium tuberculosis Reveals Transcriptional Control of Diverse Stress Responses. PLoS ONE. 11(3). e0152145–e0152145. 34 indexed citations
13.
Kumari, Manju, Xun Wang, Louise Lantier, et al.. (2016). IRF3 promotes adipose inflammation and insulin resistance and represses browning. Journal of Clinical Investigation. 126(8). 2839–2854. 149 indexed citations
14.
Bai, Guangchun, Anna Lyubetskaya, Matthew Peterson, et al.. (2015). Characterization of a cAMP responsive transcription factor, Cmr (Rv1675c), in TB complex mycobacteria reveals overlap with the DosR (DevR) dormancy regulon. Nucleic Acids Research. 44(1). 134–151. 22 indexed citations
15.
Lyubetskaya, Anna, Michael W. Peterson, Antonio L. C. Gomes, et al.. (2015). Role of intragenic binding of cAMP responsive protein (CRP) in regulation of the succinate dehydrogenase genes Rv0249c-Rv0247c in TB complex mycobacteria. Nucleic Acids Research. 43(11). 5377–5393. 30 indexed citations
16.
Gomes, Antonio L. C., Thomas Abeel, Matthew Peterson, et al.. (2014). Decoding ChIP-seq with a double-binding signal refines binding peaks to single-nucleotides and predicts cooperative interaction. Genome Research. 24(10). 1686–1697. 16 indexed citations
17.
Jaini, Suma, Anna Lyubetskaya, Antonio L. C. Gomes, et al.. (2014). Transcription Factor Binding Site Mapping Using ChIP-Seq. Microbiology Spectrum. 2(2). 21 indexed citations
18.
Wu, Cheng, Fengtang Yang, Kristina Smith, et al.. (2014). Genome-Wide Characterization of Light-Regulated Genes inNeurospora crassa. G3 Genes Genomes Genetics. 4(9). 1731–1745. 73 indexed citations
19.
Galagan, James E., Anna Lyubetskaya, & Antonio L. C. Gomes. (2012). ChIP-Seq and the Complexity of Bacterial Transcriptional Regulation. Current topics in microbiology and immunology. 363. 43–68. 40 indexed citations
20.
Lyubetskaya, Anna, et al.. (2006). Use of the flux model of amino acid metabolism of Escherichia coli. Biochemistry (Moscow). 71(11). 1256–1260. 5 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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