Anna Asplund

31.8k citations
71 papers · 5.3k indexed · 3 hit papers · h-index 32

Anna Asplund

70 papers receiving 5.3k citations

Hit Papers

A deep proteome and transcriptom...4492008202620142020100200300400500

Peers

Anna Asplund
Comparison fields: 5 of 144
  • Cancer Research 983
  • Molecular Biology 3.7k
  • Oncology 723
  • Spectroscopy 429
  • Immunology 450
Replace Caroline Kampf with:
Caroline Kampf Sweden
Laura Beretta United States
Rodrigo Chuaqui United States
Alan J. Tackett United States
John F. Timms United Kingdom
Kenneth Wester Sweden
Cecilia Lindskog Sweden
Johannes Graumann Germany
Crispin Miller United Kingdom
Mitchell Stark Australia
Anna Asplund relative to Caroline Kampf Sweden Caroline Kampf's profile →
Citations per field
00.5×1.5×
Caroline Kampf · 1×
Citations per year

Countries citing papers authored by Anna Asplund

Since Specialization
Citations

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

Fields of papers citing papers by Anna Asplund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anna Asplund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Asplund Line = papers co-authored together Anna Asplund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2017184
2 201610
3 201432
4 201417
5 20132
6 2013182
7 201212
8 2011216
9 20116
10 20100
11 200894
12 200819
13 200724
14 200511
15 200525
16
Mutational Spectra of p53 Clones adjacent to Basal Cell Carcinoma and Squamous Cell Carcinoma
20042
17 200430
18 200372
19 200214
20 20007

About Anna Asplund

Anna Asplund is a scholar working on Biophysics, Molecular Biology and Dermatology, having authored 71 papers that have together received 5.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Cancer-related Molecular Pathways (10 papers), Advanced Proteomics Techniques and Applications (8 papers), Advanced Biosensing Techniques and Applications (8 papers), Cervical Cancer and HPV Research (7 papers), RNA Research and Splicing (7 papers), Cancer and Skin Lesions (6 papers) and Molecular Biology Techniques and Applications (6 papers). The work is most often cited by research in Cancer Research (983 citations), Molecular Biology (3.7k citations) and Oncology (723 citations). Anna Asplund has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Fredrik Pontén, Mathias Uhlén, Caroline Kampf, Jens Nielsen, Adil Mardinoğlu, Rasmus Ågren, Peter Nilsson, Jochen M. Schwenk, Kenneth Wester and Sara Strömberg. Their work appears in journals such as Molecular Systems Biology, Journal of Histochemistry & Cytochemistry, Journal of Proteome Research, Nature Communications and Molecular & Cellular Proteomics.

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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