Anna M. Sokòl

960 total citations
24 papers, 597 citations indexed

About

Anna M. Sokòl is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Anna M. Sokòl has authored 24 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Anna M. Sokòl's work include Mitochondrial Function and Pathology (4 papers), DNA Repair Mechanisms (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Anna M. Sokòl is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), DNA Repair Mechanisms (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Anna M. Sokòl collaborates with scholars based in Germany, Poland and United States. Anna M. Sokòl's co-authors include Agnieszka Chacińska, Johannes Graumann, Michael P. Carty, Séverine Cruet-Hennequart, Eva Heinz, M Wasilewski, Young‐June Jin, Stefan Offermanns, Lidia Wróbel and Mauro Siragusa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Anna M. Sokòl

22 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna M. Sokòl Germany 13 407 105 91 74 71 24 597
Snehalata A. Pawar United States 14 286 0.7× 41 0.4× 50 0.5× 59 0.8× 82 1.2× 20 525
Mauro Sbroggió Italy 14 487 1.2× 88 0.8× 109 1.2× 47 0.6× 57 0.8× 16 691
Shengyong Yang China 15 557 1.4× 52 0.5× 61 0.7× 32 0.4× 109 1.5× 25 713
Rangasudhagar Radhakrishnan United States 13 424 1.0× 43 0.4× 70 0.8× 48 0.6× 123 1.7× 28 599
Nakon Aroonsakool United States 11 394 1.0× 57 0.5× 64 0.7× 63 0.9× 66 0.9× 14 652
Annalisa Zecchin Belgium 10 449 1.1× 106 1.0× 42 0.5× 49 0.7× 118 1.7× 12 701
Kristina M. Fetalvero United States 10 288 0.7× 89 0.8× 53 0.6× 71 1.0× 25 0.4× 12 575
Victor Babich United States 15 484 1.2× 80 0.8× 94 1.0× 73 1.0× 90 1.3× 29 766
Paula Saavedra-García United Kingdom 13 376 0.9× 62 0.6× 44 0.5× 34 0.5× 57 0.8× 18 531
И. В. Кондакова Russia 15 378 0.9× 49 0.5× 105 1.2× 55 0.7× 129 1.8× 108 616

Countries citing papers authored by Anna M. Sokòl

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Sokòl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna M. Sokòl

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Sokòl. A scholar is included among the top collaborators of Anna M. Sokòl 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 M. Sokòl. Anna M. Sokòl 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.
Sokòl, Anna M., Johannes Graumann, Wolfgang Meißner, et al.. (2024). SIAH3 is frequently epigenetically silenced in cancer and regulates mitochondrial metabolism. International Journal of Cancer. 156(2). 353–367.
2.
Lieber, Sonja, Anna M. Sokòl, Andrea Nist, et al.. (2023). The lysophosphatidic acid-regulated signal transduction network in ovarian cancer cells and its role in actomyosin dynamics, cell migration and entosis. Theranostics. 13(6). 1921–1948. 7 indexed citations
4.
Uszczyńska-Ratajczak, Barbara, et al.. (2022). Profiling subcellular localization of nuclear-encoded mitochondrial gene products in zebrafish. Life Science Alliance. 6(1). e202201514–e202201514. 4 indexed citations
5.
Rasouli, Seyed Javad, et al.. (2021). The E3 ubiquitin-protein ligase Rbx1 regulates cardiac wall morphogenesis in zebrafish. Developmental Biology. 480. 1–12. 5 indexed citations
6.
Finkernagel, Florian, Julia M. Jansen, Uwe Wagner, et al.. (2021). The multicellular signalling network of ovarian cancer metastases. SHILAP Revista de lepidopterología. 11(11). e633–e633. 22 indexed citations
7.
Dietze, Raimund, María Gómez‐Serrano, Florian Finkernagel, et al.. (2020). Phosphoproteomics identify arachidonic-acid-regulated signal transduction pathways modulating macrophage functions with implications for ovarian cancer. Theranostics. 11(3). 1377–1395. 34 indexed citations
8.
Breuer, Judith, Anna M. Sokòl, Johannes Graumann, et al.. (2019). Epigenetic therapy of novel tumour suppressor ZAR1 and its cancer biomarker function. Clinical Epigenetics. 11(1). 182–182. 18 indexed citations
9.
Iring, András, Young‐June Jin, Julián Albarrán-Juárez, et al.. (2019). Shear stress–induced endothelial adrenomedullin signaling regulates vascular tone and blood pressure. Journal of Clinical Investigation. 129(7). 2775–2791. 161 indexed citations
10.
Collins, Michelle M., Gustav Ahlberg, Stefan Günther, et al.. (2019). Early sarcomere and metabolic defects in a zebrafish pitx2c cardiac arrhythmia model. Proceedings of the National Academy of Sciences. 116(48). 24115–24121. 34 indexed citations
11.
Sokòl, Anna M., Barbara Uszczyńska-Ratajczak, Michelle M. Collins, et al.. (2018). Loss of the Mia40a oxidoreductase leads to hepato-pancreatic insufficiency in zebrafish. PLoS Genetics. 14(11). e1007743–e1007743. 12 indexed citations
12.
Kim, Hyun-Taek, Wenguang Yin, Young‐June Jin, et al.. (2018). Myh10 deficiency leads to defective extracellular matrix remodeling and pulmonary disease. Nature Communications. 9(1). 4600–4600. 31 indexed citations
13.
Helker, Christian SM, Giulia L. M. Boezio, Hans‐Martin Maischein, et al.. (2018). Screening for insulin-independent pathways that modulate glucose homeostasis identifies androgen receptor antagonists. eLife. 7. 13 indexed citations
14.
Wróbel, Lidia, et al.. (2016). The presence of disulfide bonds reveals an evolutionarily conserved mechanism involved in mitochondrial protein translocase assembly. Scientific Reports. 6(1). 27484–27484. 38 indexed citations
15.
Sokòl, Anna M., et al.. (2016). Talk to cloud. 17–18. 2 indexed citations
16.
Sokòl, Anna M., et al.. (2014). Mitochondrial protein translocases for survival and wellbeing. FEBS Letters. 588(15). 2484–2495. 81 indexed citations
17.
Sokòl, Anna M., Séverine Cruet-Hennequart, Philippe Pasero, & Michael P. Carty. (2013). DNA polymerase η modulates replication fork progression and DNA damage responses in platinum-treated human cells. Scientific Reports. 3(1). 3277–3277. 19 indexed citations
18.
Grzywa, Renata, et al.. (2010). New aromatic monoesters of α-aminoaralkylphosphonic acids as inhibitors of aminopeptidase N/CD13. Bioorganic & Medicinal Chemistry. 18(8). 2930–2936. 8 indexed citations
19.
Cruet-Hennequart, Séverine, et al.. (2009). DNA Polymerase η, a Key Protein in Translesion Synthesis in Human Cells. Sub-cellular biochemistry. 50. 189–209. 30 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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