Lisette Pregelj

423 total citations
13 papers, 299 citations indexed

About

Lisette Pregelj is a scholar working on Economics and Econometrics, Statistics and Probability and Management of Technology and Innovation. According to data from OpenAlex, Lisette Pregelj has authored 13 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 3 papers in Statistics and Probability and 2 papers in Management of Technology and Innovation. Recurrent topics in Lisette Pregelj's work include Statistical Methods in Clinical Trials (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Pharmaceutical Economics and Policy (2 papers). Lisette Pregelj is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Pharmaceutical Economics and Policy (2 papers). Lisette Pregelj collaborates with scholars based in Australia, United States and Ireland. Lisette Pregelj's co-authors include Peter M. Gresshoff, Michael A. Djordjevic, Paul T. Scott, Ning Chen, Johanna Hadler, Damian Hine, Jonathan J. Darrow, Aaron S. Kesselheim, Peer M. Schenk and Ross Barnard and has published in prestigious journals such as Nature Reviews Drug Discovery, Trends in Plant Science and Trends in biotechnology.

In The Last Decade

Lisette Pregelj

13 papers receiving 275 citations

Peers

Lisette Pregelj
Comparison fields: 5 of 85
  • Plant Science 96
  • Biomedical Engineering 91
  • Molecular Biology 61
  • Economics and Econometrics 39
  • Agronomy and Crop Science 27
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G Basavaraj India
Xuejing Bai China
Bikash Chandra Ghosh India
Yugan He China
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Ziyi Wang China
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Citations per field, relative to Lisette Pregelj
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Citations per year, relative to Lisette Pregelj
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Countries citing papers authored by Lisette Pregelj

Since Specialization
Citations

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

Fields of papers citing papers by Lisette Pregelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisette Pregelj

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 10
5 14
6 11
7 29
8 1
9 8
10 3
11
Capability development along the capability lifecycle: Evidence from the pharmaceutical industry
1
12 14
13 204

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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