Catrin Hasselgren

26 papers receiving 550 citations

Catrin Hasselgren's Hit Papers

Artificial Intelligence for Drug Discovery: Are We There Yet? 2023 · 103 citations
1030+1+2Years since publication255075100

Peers

Catrin Hasselgren
Comparison fields: 5 of 101
  • Computational Theory and Mathematics 199
  • Health Informatics 10
  • Chemical Health and Safety 5
  • Cancer Research 84
  • Pharmacology 50
Replace Hongzong Si with:
Hongzong Si China
Gary DeCrescenzo United States
Huabei Zhang China
Nicola Colclough United Kingdom
L. Cucurull-Sanchez United Kingdom
Philip B. Cox United States
Viera Lukáčová United States
Nathan Yumibe United States
Greg M. Pearl United States
Catrin Hasselgren relative to Hongzong Si China Hongzong Si's profile →
Citations per field
00.5×2.9×
Hongzong Si · 1×
Citations per year

Countries citing papers authored by Catrin Hasselgren

Since Specialization
Citations

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

Fields of papers citing papers by Catrin Hasselgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence for Drug Discovery: Are We There Yet?
Hit paper breakdown →
2023103
2 201262
3 201159
4 201442
5 201539
6 200235
7 200832
8 201331
9 202028
10 199719
11 199918
12 200111
13 201611
14 201810
15 201010
16 20029
17 20228
18 20218
19 20247
20 20167

About Catrin Hasselgren

Catrin Hasselgren is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Cancer Research and Inorganic Chemistry, having authored 28 papers that have together received 574 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Carcinogens and Genotoxicity Assessment (5 papers), Crystal structures of chemical compounds (4 papers), Organometallic Compounds Synthesis and Characterization (3 papers), Crystallography and molecular interactions (3 papers), Analytical Chemistry and Chromatography (3 papers), Animal testing and alternatives (3 papers) and Analytical chemistry methods development (2 papers). The work is most often cited by research in Computational Theory and Mathematics (199 citations), Health Informatics (10 citations), Chemical Health and Safety (5 citations), Cancer Research (84 citations) and Pharmacology (50 citations). Catrin Hasselgren has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Tudor I. Oprea, Susan Jagner, Scott Boyer, Ian Dance, Daniel Muthas, Peter Hansen, Bo Nordén, Peter Sjö, Wolfgang Muster and M. Vijayaraj Reddy. Their work appears in journals such as Inorganica Chimica Acta, Regulatory Toxicology and Pharmacology, Journal of Chemical Information and Modeling, Chemistry - A European Journal and ALTEX.

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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