Daniela Bakula

1.4k total citations
21 papers, 925 citations indexed

About

Daniela Bakula is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Daniela Bakula has authored 21 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Epidemiology and 8 papers in Cell Biology. Recurrent topics in Daniela Bakula's work include Autophagy in Disease and Therapy (10 papers), DNA Repair Mechanisms (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Daniela Bakula is often cited by papers focused on Autophagy in Disease and Therapy (10 papers), DNA Repair Mechanisms (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Daniela Bakula collaborates with scholars based in Denmark, Germany and China. Daniela Bakula's co-authors include Morten Scheibye‐Knudsen, Tassula Proikas‐Cezanne, Guido Keijzers, Horst Robenek, Tancred Frickey, Daniel Brigger, Mario P. Tschan, Zsuzsanna Takács, Brenna Osborne and Garik V. Mkrtchyan and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Daniela Bakula

21 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Bakula Denmark 13 463 453 226 182 80 21 925
Caiyue Xu China 6 378 0.8× 544 1.2× 145 0.6× 213 1.2× 74 0.9× 7 978
Salwa Sebti United States 9 507 1.1× 413 0.9× 121 0.5× 124 0.7× 53 0.7× 12 854
Arindam Chaudhury United States 10 279 0.6× 382 0.8× 121 0.5× 197 1.1× 91 1.1× 16 820
Weimin Li China 7 677 1.5× 478 1.1× 126 0.6× 144 0.8× 78 1.0× 15 906
Myungjin Kim United States 15 350 0.8× 760 1.7× 175 0.8× 144 0.8× 57 0.7× 21 1.1k
Brittany Angarola United States 8 603 1.3× 641 1.4× 261 1.2× 203 1.1× 224 2.8× 10 1.2k
Yingyu Chen China 9 362 0.8× 349 0.8× 113 0.5× 56 0.3× 55 0.7× 14 687
Natalia Torrealba Chile 12 259 0.6× 532 1.2× 350 1.5× 112 0.6× 37 0.5× 13 961
Carolina Prezioso Italy 5 604 1.3× 607 1.3× 248 1.1× 235 1.3× 408 5.1× 5 1.3k
Sarah F. Funderburk United States 6 645 1.4× 441 1.0× 241 1.1× 143 0.8× 98 1.2× 6 951

Countries citing papers authored by Daniela Bakula

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Bakula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Bakula

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Bakula. A scholar is included among the top collaborators of Daniela Bakula 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 Daniela Bakula. Daniela Bakula 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.
Heckenbach, Indra, et al.. (2025). Deep learning reveals diverging effects of altitude on aging. GeroScience. 47(3). 3873–3889. 2 indexed citations
2.
Schmauck‐Medina, Tomas, Neal D. Amin, Edward S. Boyden, et al.. (2025). Innovations in aging biology: highlights from the ARDD emerging science & technologies workshop. PubMed. 11(1). 8–8. 1 indexed citations
3.
Mkrtchyan, Garik V., Anastasia Shneyderman, Ivan V. Ozerov, et al.. (2024). Defining the progeria phenome. Aging. 16(3). 2026–2046. 3 indexed citations
4.
Petr, Michael, Brenna Osborne, Bin Zhang, et al.. (2024). Pharmacological interventions in human aging. Ageing Research Reviews. 95. 102213–102213. 5 indexed citations
5.
Song, Peng, Shaojun Liu, Dekang Liu, et al.. (2022). CNOT6: A Novel Regulator of DNA Mismatch Repair. Cells. 11(3). 521–521. 7 indexed citations
6.
Heckenbach, Indra, Garik V. Mkrtchyan, Michael Ben Ezra, et al.. (2022). Nuclear morphology is a deep learning biomarker of cellular senescence. Nature Aging. 2(8). 742–755. 114 indexed citations
7.
Bakula, Daniela, et al.. (2022). Clinical Trials Targeting Aging. SHILAP Revista de lepidopterología. 3. 820215–820215. 30 indexed citations
8.
Bakula, Daniela & Morten Scheibye‐Knudsen. (2020). MitophAging: Mitophagy in Aging and Disease. Frontiers in Cell and Developmental Biology. 8. 239–239. 116 indexed citations
9.
Osborne, Brenna, Daniela Bakula, Michael Ben Ezra, et al.. (2020). New methodologies in ageing research. Ageing Research Reviews. 62. 101094–101094. 7 indexed citations
10.
Keijzers, Guido, Daniela Bakula, Michael Petr, et al.. (2018). Human Exonuclease 1 (EXO1) Regulatory Functions in DNA Replication with Putative Roles in Cancer. International Journal of Molecular Sciences. 20(1). 74–74. 52 indexed citations
11.
Schmidt, Jana, Anja K. Mayer, Daniela Bakula, et al.. (2018). Vulnerability of frontal brain neurons for the toxicity of expanded ataxin-3. Human Molecular Genetics. 28(9). 1463–1473. 9 indexed citations
12.
Bakula, Daniela, et al.. (2017). WIPI β-propellers function as scaffolds for STK11/LKB1-AMPK and AMPK-related kinase signaling in autophagy. Autophagy. 14(6). 1–2. 20 indexed citations
13.
Keijzers, Guido, Daniela Bakula, & Morten Scheibye‐Knudsen. (2017). Monogenic Diseases of DNA Repair. New England Journal of Medicine. 377(19). 1868–1876. 45 indexed citations
14.
Bakula, Daniela, Amelie J. Müller, Theresia Zuleger, et al.. (2017). WIPI3 and WIPI4 β-propellers are scaffolds for LKB1-AMPK-TSC signalling circuits in the control of autophagy. Nature Communications. 8(1). 15637–15637. 156 indexed citations
15.
Pfisterer, Simon G., Daniela Bakula, Tancred Frickey, et al.. (2014). Lipid droplet and early autophagosomal membrane targeting of Atg2A and Atg14L in human tumor cells. Journal of Lipid Research. 55(7). 1267–1278. 51 indexed citations
16.
Pfisterer, Simon G., et al.. (2014). WIPI β-propellers at the crossroads of autophagosome and lipid droplet dynamics. Biochemical Society Transactions. 42(5). 1414–1417. 8 indexed citations
17.
Engedal, Nikolai, Maria Lyngaas Torgersen, Ingrid Jenny Guldvik, et al.. (2013). Modulation of intracellular calcium homeostasis blocks autophagosome formation. Autophagy. 9(10). 1475–1490. 80 indexed citations
19.
Rieter, Ester, Daniela Bakula, Eduardo Cebollero, et al.. (2012). Atg18 function in autophagy is regulated by specific sites within its β-propeller. Journal of Cell Science. 126(2). 593–604. 75 indexed citations
20.
Gao, Ping, Chantal Bauvy, Sylvie Souquère, et al.. (2010). The Bcl-2 Homology Domain 3 Mimetic Gossypol Induces Both Beclin 1-dependent and Beclin 1-independent Cytoprotective Autophagy in Cancer Cells. Journal of Biological Chemistry. 285(33). 25570–25581. 107 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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