Daniela Padula

558 total citations
10 papers, 432 citations indexed

About

Daniela Padula is a scholar working on Cell Biology, Genetics and Surgery. According to data from OpenAlex, Daniela Padula has authored 10 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Daniela Padula's work include Cellular Mechanics and Interactions (4 papers), Force Microscopy Techniques and Applications (2 papers) and Mesenchymal stem cell research (2 papers). Daniela Padula is often cited by papers focused on Cellular Mechanics and Interactions (4 papers), Force Microscopy Techniques and Applications (2 papers) and Mesenchymal stem cell research (2 papers). Daniela Padula collaborates with scholars based in Germany, Sweden and Italy. Daniela Padula's co-authors include Matthias Schieker, Denitsa Docheva, Hauke Clausen‐Schaumann, Cvetan Popov, W. Mutschler, Heiko Lickert, Wolfgang Böcker, Daniel L. Altschuler, Reinhard Hickel and Guillermo Barila and has published in prestigious journals such as PLoS ONE, Development and Biochemical and Biophysical Research Communications.

In The Last Decade

Daniela Padula

10 papers receiving 429 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 Padula Germany 9 127 113 113 95 57 10 432
Alison D. Cambrey United Kingdom 13 63 0.5× 143 1.3× 52 0.5× 111 1.2× 32 0.6× 16 676
Bingyu Zhang China 14 191 1.5× 151 1.3× 120 1.1× 104 1.1× 46 0.8× 19 561
Sara J. Oswald United States 11 239 1.9× 164 1.5× 163 1.4× 49 0.5× 60 1.1× 15 537
Kiarash Rahmani Eliato United States 8 81 0.6× 117 1.0× 186 1.6× 110 1.2× 27 0.5× 8 363
Liqun Yin China 8 240 1.9× 197 1.7× 115 1.0× 36 0.4× 17 0.3× 18 575
René F.M. van Oers Netherlands 12 181 1.4× 298 2.6× 187 1.7× 81 0.9× 11 0.2× 17 741
Philippe Pittet Switzerland 5 441 3.5× 254 2.2× 213 1.9× 141 1.5× 65 1.1× 5 881
Bhupinder Shergill United States 8 127 1.0× 269 2.4× 138 1.2× 34 0.4× 22 0.4× 11 450
Yang‐Kao Wang Taiwan 10 282 2.2× 231 2.0× 272 2.4× 77 0.8× 22 0.4× 20 697
Bryan Falcones Spain 9 87 0.7× 54 0.5× 110 1.0× 75 0.8× 32 0.6× 16 289

Countries citing papers authored by Daniela Padula

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Padula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Padula

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

All Works

10 of 10 papers shown
1.
Xiong, Yan, Anett Seelig, Francesco Volta, et al.. (2020). Islet vascularization is regulated by primary endothelial cilia via VEGF-A-dependent signaling. eLife. 9. 26 indexed citations
2.
Padula, Daniela, Ingo Burtscher, Cedric Landerer, et al.. (2016). Pitchfork and Gprasp2 Target Smoothened to the Primary Cilium for Hedgehog Pathway Activation. PLoS ONE. 11(2). e0149477–e0149477. 21 indexed citations
3.
Andersson, Louise, Therese Carlsson, Svante Jansson, et al.. (2015). Revising the embryonic origin of thyroid C cells. Development. 142(20). 3519–28. 70 indexed citations
4.
Docheva, Denitsa, Daniela Padula, Cvetan Popov, et al.. (2013). Correction: Probing the Interaction Forces of Prostate Cancer Cells with Collagen I and Bone Marrow Derived Stem Cells on the Single Cell Level. PLoS ONE. 8(10). 6 indexed citations
5.
Haasters, Florian, Wolf Christian Prall, Wolfgang Böcker, et al.. (2013). Overexpression of dnIKK in mesenchymal stem cells leads to increased migration and decreased invasion upon TNFα stimulation. Biochemical and Biophysical Research Communications. 436(2). 265–270. 10 indexed citations
6.
Docheva, Denitsa, Daniela Padula, Cvetan Popov, et al.. (2013). Probing the Interaction Forces of Prostate Cancer Cells with Collagen I and Bone Marrow Derived Stem Cells on the Single Cell Level. PLoS ONE. 8(3). e57706–e57706. 22 indexed citations
7.
Docheva, Denitsa, Daniela Padula, Nicolai Miosge, et al.. (2010). Establishment of immortalized periodontal ligament progenitor cell line and its behavioural analysis on smooth and rough titanium surface. European Cells and Materials. 19. 228–241. 44 indexed citations
8.
Docheva, Denitsa, Daniela Padula, Matthias Schieker, & Hauke Clausen‐Schaumann. (2010). Effect of collagen I and fibronectin on the adhesion, elasticity and cytoskeletal organization of prostate cancer cells. Biochemical and Biophysical Research Communications. 402(2). 361–366. 51 indexed citations
9.
Docheva, Denitsa, Daniela Padula, Cvetan Popov, et al.. (2007). Researching into the cellular shape, volume and elasticity of mesenchymal stem cells, osteoblasts and osteosarcoma cells by atomic force microscopy. Journal of Cellular and Molecular Medicine. 12(2). 537–552. 164 indexed citations
10.

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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