Jenny Viklund

1.0k citations
15 papers · 724 indexed · h-index 12

Impact in

  • Physiology top 10%
    • Alzheimer's disease research and treatments
    • Melanoma and MAPK Pathways
    • Epigenetics and DNA Methylation

Papers in

Jenny Viklund

15 papers receiving 712 citations

Peers

Jenny Viklund
Comparison fields: 5 of 81
  • Physiology 47
  • Molecular Biology 416
  • Cancer Research 91
  • Computational Theory and Mathematics 94
  • Oncology 144
Replace Roland Feifel with:
Roland Feifel Switzerland
Peppi Prasit United States
John Wityak United States
Radu M. Suciu United States
Paolo Di Fruscia United Kingdom
John H. Dodd United States
Jeffrey O. Saunders United States
E. Hampton Sessions United States
Michel Weïwer United States
Laura L. Rokosz United States
Jenny Viklund relative to Roland Feifel Switzerland Roland Feifel's profile →
Citations per field
00.5×1.5×2.3×
Roland Feifel · 1×
Citations per year

Countries citing papers authored by Jenny Viklund

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Viklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jenny Viklund, 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 Jenny Viklund Line = papers co-authored together Jenny Viklund links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202419
2 20222
3 2020187
4 201882
5 201777
6 201714
7 201417
8 20149
9 201235
10 201226
11 201256
12 20097
13 200543
14 200555
15 199995

About Jenny Viklund

Jenny Viklund is a scholar working on Computational Theory and Mathematics, Physiology, Oncology, Molecular Biology and Cancer Research, having authored 15 papers that have together received 724 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Alzheimer's disease research and treatments (3 papers), Chemical Synthesis and Analysis (2 papers), Protein Structure and Dynamics (2 papers), Synthesis and biological activity (2 papers), Enzyme function and inhibition (2 papers), ATP Synthase and ATPases Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Physiology (47 citations), Molecular Biology (416 citations), Cancer Research (91 citations), Computational Theory and Mathematics (94 citations) and Oncology (144 citations). Jenny Viklund has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Angelo De Milito, Sofia Avnet, Jessica Martinsson, Santiago Parpal, Britt‐Marie Swahn, Iryna Kolosenko, Yafeng Xue, Nicola Baldini, Bassam Janji and Martin Andersson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Cancer Letters and Nature Communications.

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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