Anna Shcherbina

5.7k total citations · 2 hit papers
46 papers, 2.0k citations indexed

About

Anna Shcherbina is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Anna Shcherbina has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Anna Shcherbina's work include Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Anna Shcherbina is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Anna Shcherbina collaborates with scholars based in United States, Russia and United Kingdom. Anna Shcherbina's co-authors include Euan A. Ashley, Anshul Kundaje, Matthew T. Wheeler, Jeffrey W. Christle, Trevor Hastie, Daryl Waggott, C. Mikael Mattsson, Heidi Salisbury, William J. Greenleaf and Howard Y. Chang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Anna Shcherbina

42 papers receiving 2.0k citations

Hit Papers

Accuracy in Wrist-Worn, Sensor-Based Measurements of Hear... 2017 2026 2020 2023 2017 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Shcherbina United States 20 807 301 294 256 252 46 2.0k
Eleonora Cocco Italy 32 726 0.9× 145 0.5× 151 0.5× 239 0.9× 217 0.9× 238 4.1k
Acary Souza Bullé Oliveira Brazil 25 760 0.9× 186 0.6× 105 0.4× 264 1.0× 127 0.5× 275 2.5k
Jeremy Chataway United Kingdom 39 1.1k 1.3× 262 0.9× 74 0.3× 309 1.2× 248 1.0× 171 5.1k
Baljean Dhillon United Kingdom 40 1.2k 1.5× 232 0.8× 146 0.5× 230 0.9× 336 1.3× 181 6.3k
Ieuan Clay Switzerland 19 1.0k 1.3× 113 0.4× 92 0.3× 256 1.0× 86 0.3× 44 1.8k
Niall Tubridy Ireland 32 570 0.7× 155 0.5× 226 0.8× 207 0.8× 191 0.8× 124 4.6k
Maureen G. Maguire United States 63 2.1k 2.5× 189 0.6× 332 1.1× 218 0.9× 133 0.5× 293 14.5k
Carlos García United States 39 1.4k 1.7× 303 1.0× 64 0.2× 309 1.2× 253 1.0× 170 4.3k
Simon A. Koblar Australia 35 1.5k 1.9× 152 0.5× 149 0.5× 327 1.3× 192 0.8× 126 4.1k
Harald Nyland Norway 45 596 0.7× 266 0.9× 139 0.5× 279 1.1× 136 0.5× 172 6.5k

Countries citing papers authored by Anna Shcherbina

Since Specialization
Citations

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

Fields of papers citing papers by Anna Shcherbina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Shcherbina

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Shcherbina. A scholar is included among the top collaborators of Anna Shcherbina 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 Shcherbina. Anna Shcherbina 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.
McCaw, Zachary R., Anna Shcherbina, Yajas Shah, et al.. (2024). Abstract 6177: Machine learning enables prediction of ADC targets from whole slide H&E images. Cancer Research. 84(6_Supplement). 6177–6177. 1 indexed citations
3.
Ameen, Mohamed, Laksshman Sundaram, Mengcheng Shen, et al.. (2022). Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease. Cell. 185(26). 4937–4953.e23. 46 indexed citations
4.
O’Sullivan, Jack W., Anna Shcherbina, Johanne Marie Justesen, et al.. (2021). Combining Clinical and Polygenic Risk Improves Stroke Prediction Among Individuals With Atrial Fibrillation. Circulation Genomic and Precision Medicine. 14(3). e003168–e003168. 28 indexed citations
5.
Li, Jingling, Thomas Brickler, Allison Banuelos, et al.. (2021). Overexpression of CD47 is associated with brain overgrowth and 16p11.2 deletion syndrome. Proceedings of the National Academy of Sciences. 118(15). 25 indexed citations
6.
Liu, Xin, Tao Sun, Anna Shcherbina, et al.. (2021). Learning cis-regulatory principles of ADAR-based RNA editing from CRISPR-mediated mutagenesis. Nature Communications. 12(1). 2165–2165. 17 indexed citations
7.
Minhas, Jasleen, Haochang Shou, Steven G. Hershman, et al.. (2021). Physical Activity and Its Association with Traditional Outcome Measures in Pulmonary Arterial Hypertension. Annals of the American Thoracic Society. 19(4). 572–582. 10 indexed citations
8.
Wainberg, Michael, Roarke A. Kamber, Akshay Balsubramani, et al.. (2021). A genome-wide atlas of co-essential modules assigns function to uncharacterized genes. Nature Genetics. 53(5). 638–649. 103 indexed citations
9.
Митрофанова, Л. Б., et al.. (2021). The coincidence of two rare diseases with opposite metabolic phenotype: a child with congenital hyperinsulinism and Bloom syndrome. Journal of Pediatric Endocrinology and Metabolism. 0(0). 405–409.
10.
Corces, M. Ryan, Anna Shcherbina, Soumya Kundu, et al.. (2020). Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer’s and Parkinson’s diseases. Nature Genetics. 52(11). 1158–1168. 198 indexed citations
11.
Laberko, Alexandra, Sarah Maier, Mario Abinun, et al.. (2020). HSCT is effective in patients with PSTPIP1-associated myeloid-related proteinemia inflammatory (PAMI) syndrome. Journal of Allergy and Clinical Immunology. 148(1). 250–255.e1. 16 indexed citations
12.
Stowers, Ryan S., Anna Shcherbina, Johnny Israeli, et al.. (2019). Matrix stiffness induces a tumorigenic phenotype in mammary epithelium through changes in chromatin accessibility. Nature Biomedical Engineering. 3(12). 1009–1019. 165 indexed citations
13.
Ricke, Darrell, et al.. (2018). Grigora SNP s: Optimized Analysis of SNP s for DNA Forensics,. Journal of Forensic Sciences. 63(6). 1841–1845. 5 indexed citations
14.
Shrikumar, Avanti, Katherine Tian, Anna Shcherbina, et al.. (2018). TF-MoDISco v0.4.2.2-alpha: Technical Note. arXiv (Cornell University). 8 indexed citations
15.
Tikkanen, Emmi, Stefan Gustafsson, David Amar, et al.. (2018). Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank. Scientific Reports. 8(1). 6451–6451. 67 indexed citations
16.
Shcherbina, Anna, C. Mikael Mattsson, Daryl Waggott, et al.. (2017). Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort. Journal of Personalized Medicine. 7(2). 3–3. 420 indexed citations breakdown →
17.
Aguilar, Carlos A., Ramona Pop, Anna Shcherbina, et al.. (2016). Transcriptional and Chromatin Dynamics of Muscle Regeneration after Severe Trauma. Stem Cell Reports. 7(5). 983–997. 36 indexed citations
18.
Balashov, Dmitry, Anna Shcherbina, Michael Maschan, et al.. (2015). Single-Center Experience of Unrelated and Haploidentical Stem Cell Transplantation with TCRαβ and CD19 Depletion in Children with Primary Immunodeficiency Syndromes. Biology of Blood and Marrow Transplantation. 21(11). 1955–1962. 87 indexed citations
19.
Schwoebel, Eric, Anna Shcherbina, Darrell Ricke, et al.. (2014). Robust detection of individual forensic profiles in DNA mixtures. Forensic Science International Genetics. 14. 31–37. 26 indexed citations
20.
Shcherbina, Anna. (2014). FASTQSim: platform-independent data characterization and in silico read generation for NGS datasets. BMC Research Notes. 7(1). 533–533. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026