Hanne Grøn

1.5k citations
16 papers · 1.2k indexed · h-index 13
Topics
Enzyme Production and Characterization (4 papers)Protein purification and stability (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Hanne Grøn

16 papers receiving 1.2k citations

Peers

Hanne Grøn
Comparison fields: 5 of 88
  • Molecular Biology 737
  • Genetics 634
  • Endocrinology, Diabetes and Metabolism 181
  • Oncology 172
  • Pulmonary and Respiratory Medicine 117
Replace Catherine E. Snider with:
Catherine E. Snider United States
Marc Lacroix Belgium
Kenichi Sato Japan
Claudia Götz Germany
Jagadish C. Ghosh United States
Shinichi Watanabe Japan
Yukimasa Shiotsu Japan
Shinwu Jeong United States
Werner Bollag Switzerland
Kunio Kitada Japan
Hanne Grøn relative to Catherine E. Snider United States Catherine E. Snider's profile →
Citations per field
00.5×7.8×
Catherine E. Snider · 1×
Citations per year

Countries citing papers authored by Hanne Grøn

Since Specialization
Citations

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

Fields of papers citing papers by Hanne Grøn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanne Grøn

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 27
3 181
4 37
5
Peptides as tools in drug discovery.
17
6 8
7 343
8 314
9 16
10 40
11 22
12 3
13 16
14 125
15 38
16 32

About Hanne Grøn

Hanne Grøn is a scholar working on Biotechnology, Toxicology and Genetics, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (4 papers), Protein purification and stability (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Genetics (634 citations), Endocrinology, Diabetes and Metabolism (181 citations) and Molecular Biology (737 citations). Hanne Grøn has collaborated with scholars based in United States, Denmark and Poland. Frequent co-authors include Paul T. Hamilton, Dana M. Fowlkes, John D. Norris, Lisa A. Paige, Ching‐yi Chang, Donald P. McDonnell, Klaus Breddam, Morten Meldal, Daniel J. Kenan and E.S. Payne. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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