Lene Nielsen
- Cancer Research top 0.1%
- Hematology top 0.2%
- Molecular Biology top 5%
- Oncology top 2%
- Immunology and Allergy top 0.2%
- Co-authors
- Keld DanøP.A. AndreasenLars SkriverJ Grøndahl-HansenPeter Lommer KristensenFrancesco BlasiAntti VaheriPeter Kristensen
- Topics
- Protease and Inhibitor Mechanisms (32 papers)Persona Design and Applications (28 papers)Innovative Human-Technology Interaction (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- DenmarkQatarUnited States
In The Last Decade
Lene Nielsen
92 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cancer Research 4.7k
- Hematology 2.9k
- Molecular Biology 1.8k
- Oncology 1.5k
- Immunology and Allergy 1.4k
Countries citing papers authored by Lene Nielsen
This map shows the geographic impact of Lene Nielsen'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 Lene Nielsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lene Nielsen more than expected).
Fields of papers citing papers by Lene Nielsen
This network shows the impact of papers produced by Lene Nielsen. 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 Lene Nielsen. The network helps show where Lene Nielsen may publish in the future.
Co-authorship network of co-authors of Lene Nielsen
This figure shows the co-authorship network connecting the top 25 collaborators of Lene Nielsen. A scholar is included among the top collaborators of Lene Nielsen 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 Lene Nielsen. Lene Nielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 4 | |
| 4 | Think-Aloud Surveys - A Method for Eliciting Enhanced Insights During User Studies. | 2 |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 26 | |
| 9 | Persona Usage in Software Development: Advantages and Obstacles | 6 |
| 10 | ACTING AS SOMEONE LIKE ME – PERSONAS IN PARTICIPATORY INNOVATION | 1 |
| 11 | Using Storytelling to Reflect on It Projects | 7 |
| 12 | The Human Being in the 21st Century: Design Perspectives on the Representation of Users in IS Development | 0 |
| 13 | 17 | |
| 14 | 93 | |
| 15 | 231 | |
| 16 | 303 | |
| 17 | 208 | |
| 18 | 71 | |
| 19 | 58 | |
| 20 | 61 |
About Lene Nielsen
Lene Nielsen is a scholar working on Human-Computer Interaction, Cancer Research and Marketing, having authored 96 papers that have together received 7.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (32 papers), Persona Design and Applications (28 papers) and Innovative Human-Technology Interaction (24 papers). The work is most often cited by research in Cancer Research (4.7k citations), Hematology (2.9k citations) and Immunology and Allergy (1.4k citations). Lene Nielsen has collaborated with scholars based in Denmark, Qatar and United States. Frequent co-authors include Keld Danø, P.A. Andreasen, Lars Skriver, J Grøndahl-Hansen, Peter Lommer Kristensen, Francesco Blasi, Antti Vaheri, Peter Kristensen, J Pöllänen and Olli Saksela. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.