Per Källblad

539 citations
13 papers · 414 · h-index 10

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • Chemical Synthesis and Analysis 3
    • Advanced biosensing and bioanalysis techniques 2
    • Cancer therapeutics and mechanisms 2
    • Plant biochemistry and biosynthesis 2
    • Synthesis and pharmacology of benzodiazepine derivatives 2

Per Källblad

13 papers receiving 401 citations

Peers

Per Källblad
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 119
  • Organic Chemistry 137
  • Oncology 129
  • Molecular Biology 271
  • Biotechnology 22
Replace Henriëtte M. G. Willems with:
Henriëtte M. G. Willems United Kingdom
Mary M. Senior United States
Jürgen Dinges United States
Lydia Boike United States
Matthew D. Cheeseman United Kingdom
Alessandro Padova Italy
Mihiret T. Sisay Germany
Kareem Khoury United States
Christian Krog-Jensen Sweden
Jennifer Lattanze United States
Per Källblad relative to Henriëtte M. G. Willems United Kingdom Henriëtte M. G. Willems's profile →
Citations per field
00.5×1.5×
Henriëtte M. G. Willems · 1×
Citations per year

Countries citing papers authored by Per Källblad

Since Specialization
Citations

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

Fields of papers citing papers by Per Källblad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006117
2 200579
3 200846
4 200339
5 201033
6 201025
7 200420
8 200418
9 200415
10 200510
11 20047
12 20193
13 20232

About Per Källblad

Per Källblad is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Oncology and Pharmacology, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer-related Molecular Pathways (2 papers), Synthesis and pharmacology of benzodiazepine derivatives (2 papers), Cancer therapeutics and mechanisms (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (119 citations), Organic Chemistry (137 citations), Oncology (129 citations), Molecular Biology (271 citations) and Biotechnology (22 citations). Per Källblad has collaborated with scholars based in Sweden, United Kingdom and Netherlands. Frequent co-authors include Philip M. Dean, Henriëtte M. G. Willems, Ricardo L. Mancera, U. Helena Danielson, John Lunec, Gillian Farnie, Claire Hutton, Helen Atkins, Rebecca J. Reid and Roger J. Griffin. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, SLAS DISCOVERY, Journal of Computational Chemistry and Journal of Computer-Aided Molecular Design.

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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