Helena Bäckvall

620 total citations
18 papers, 394 citations indexed

About

Helena Bäckvall is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Helena Bäckvall has authored 18 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Dermatology. Recurrent topics in Helena Bäckvall's work include Nonmelanoma Skin Cancer Studies (6 papers), Cancer-related Molecular Pathways (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). Helena Bäckvall is often cited by papers focused on Nonmelanoma Skin Cancer Studies (6 papers), Cancer-related Molecular Pathways (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). Helena Bäckvall collaborates with scholars based in Sweden, Finland and China. Helena Bäckvall's co-authors include Fredrik Pontén, Anna Asplund, Joakim Lundeberg, Kenneth Wester, Åsa Sivertsson, Sara Strömberg, Anna Gustafsson, Mathias Uhlén, Patrick Micke and Ann‐Catrin Andersson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Analytical Biochemistry.

In The Last Decade

Helena Bäckvall

18 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helena Bäckvall Sweden 10 246 111 103 67 46 18 394
Lynn Meister United States 5 306 1.2× 24 0.2× 128 1.2× 36 0.5× 47 1.0× 8 436
Coby Out Netherlands 10 225 0.9× 100 0.9× 119 1.2× 24 0.4× 17 0.4× 10 493
Sébastien P. Gendron Canada 11 153 0.6× 24 0.2× 39 0.4× 15 0.2× 56 1.2× 13 315
Adrianne N. Hanks United States 8 347 1.4× 53 0.5× 136 1.3× 27 0.4× 50 1.1× 9 472
Carina Magnusson Australia 5 221 0.9× 11 0.1× 52 0.5× 57 0.9× 34 0.7× 5 333
Olufolake Akinduro United Kingdom 6 124 0.5× 43 0.4× 29 0.3× 77 1.1× 19 0.4× 7 280
Elina Siljamäki Finland 11 234 1.0× 38 0.3× 112 1.1× 48 0.7× 61 1.3× 20 389
Zhengke Li United States 15 457 1.9× 16 0.1× 173 1.7× 78 1.2× 122 2.7× 23 636
O L Caballero United States 5 173 0.7× 19 0.2× 115 1.1× 23 0.3× 68 1.5× 5 327
Sarah A. Bruce United States 9 197 0.8× 34 0.3× 40 0.4× 9 0.1× 29 0.6× 18 382

Countries citing papers authored by Helena Bäckvall

Since Specialization
Citations

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

Fields of papers citing papers by Helena Bäckvall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helena Bäckvall

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

All Works

18 of 18 papers shown
1.
Erkers, Tom, Päivi Östling, Mattias Vesterlund, et al.. (2024). Pathway activation model for personalized prediction of drug synergy. eLife. 13. 1 indexed citations
2.
Pawitan, Yudi, Tom Erkers, Päivi Östling, et al.. (2023). Prediction model for drug response of acute myeloid leukemia patients. npj Precision Oncology. 7(1). 32–32. 6 indexed citations
3.
Pawitan, Yudi, Matthias Stahl, Mattias Vesterlund, et al.. (2021). The transcriptome‐wide landscape of molecular subtype‐specific mRNA expression profiles in acute myeloid leukemia. American Journal of Hematology. 96(5). 580–588. 8 indexed citations
4.
Bäckvall, Helena & Janne Lehtiö. (2013). The low molecular weight proteome : methods and protocols. Humana Press eBooks. 2 indexed citations
5.
Andersson, Ann‐Catrin, Sara Strömberg, Helena Bäckvall, et al.. (2006). Analysis of Protein Expression in Cell Microarrays: A Tool for Antibody-based Proteomics. Journal of Histochemistry & Cytochemistry. 54(12). 1413–1423. 62 indexed citations
6.
Eller, Mark S., Xiaodong Liao, Helena Bäckvall, et al.. (2006). A role for WRN in telomere-based DNA damage responses. Proceedings of the National Academy of Sciences. 103(41). 15073–15078. 53 indexed citations
7.
Asplund, Anna, Åsa Sivertsson, Helena Bäckvall, et al.. (2005). Genetic mosaicism in basal cell carcinoma. Experimental Dermatology. 14(8). 593–600. 11 indexed citations
8.
Bäckvall, Helena, Anna Asplund, Anna Gustafsson, et al.. (2005). Genetic tumor archeology: microdissection and genetic heterogeneity in squamous and basal cell carcinoma. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 571(1-2). 65–79. 41 indexed citations
9.
Bäckvall, Helena, Sara Strömberg, Anna Asplund, et al.. (2004). Mutational Spectra of p53 Clones adjacent to Basal Cell Carcinoma and Squamous Cell Carcinoma. Experimental Dermatology. 1663. 2 indexed citations
10.
Chakraborty, Ashok K., Rossitza Lazova, Stella M. Davies, et al.. (2004). Genetic evidence for tumor-hematopoietic cell hybrids in a human renal cell carcinoma metastasis. Cancer Research. 64. 407–407. 1 indexed citations
11.
Bäckvall, Helena, Sara Strömberg, Anna Gustafsson, et al.. (2004). Mutation spectra of epidermal p53 clones adjacent to basal cell carcinoma and squamous cell carcinoma. Experimental Dermatology. 13(10). 643–650. 30 indexed citations
12.
Bäckvall, Helena, et al.. (2004). The density of epidermal p53 clones is higher adjacent to squamous cell carcinoma in comparison with basal cell carcinoma. British Journal of Dermatology. 150(2). 259–266. 25 indexed citations
13.
Wassberg, Cecilia, Helena Bäckvall, Brian Diffey, Fredrik Pontén, & Berit Berne. (2003). Enhanced Epidermal Ultraviolet Responses in Chronically Sun-exposed Skin are Dependent on Previous Sun Exposure. Acta Dermato Venereologica. 83(4). 254–261. 8 indexed citations
14.
Wester, Kenneth, Anna Asplund, Helena Bäckvall, et al.. (2003). Zinc-Based Fixative Improves Preservation of Genomic DNA and Proteins in Histoprocessing of Human Tissues. Laboratory Investigation. 83(6). 889–899. 68 indexed citations
15.
Persson, Åsa, Desirée Wiegleb Edström, Helena Bäckvall, et al.. (2002). The mutagenic effect of ultraviolet‐A1 on human skin demonstrated by sequencing the p53 gene in single keratinocytes. Photodermatology Photoimmunology & Photomedicine. 18(6). 287–293. 35 indexed citations
16.
Persson, Åsa, Helena Bäckvall, Fredrik Pontén, Mathias Uhlén, & Joakim Lundeberg. (2002). [30] Single cell gene mutation analysis using laser-assisted microdissection of tissue sections. Methods in enzymology on CD-ROM/Methods in enzymology. 356. 334–343. 5 indexed citations
17.
Bäckvall, Helena, Cecilia Wassberg, Berit Berne, & Fredrik Pontén. (2002). Similar UV responses are seen in a skin organ culture as in human skin in vivo. Experimental Dermatology. 11(4). 349–356. 21 indexed citations
18.
Persson, Åsa, Ling Gao, Cecilia Williams, et al.. (2000). Analysis of p53 Mutations in Single Cells Obtained from Histological Tissue Sections. Analytical Biochemistry. 287(1). 25–31. 15 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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