L. Lehtiö

4.4k citations
104 papers · 3.0k · h-index 30

Impact in

  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
  • Oncology top 2%
    • PARP inhibition in cancer therapy

Papers in

    • Wnt/β-catenin signaling in development and cancer 17
    • DNA Repair Mechanisms 15
    • Cancer-related gene regulation 9
    • Signaling Pathways in Disease 7
    • PARP inhibition in cancer therapy 49

L. Lehtiö

99 papers receiving 2.9k citations

Peers

L. Lehtiö
Comparison fields: 5 of 107
  • Physiology 219
  • Oncology 1.1k
  • Molecular Biology 2.0k
  • Immunology 587
  • Cell Biology 213
Replace T. Karlberg with:
T. Karlberg Sweden
Brian H. Shilton Canada
W. Tempel Canada
Thomas O’Brien United States
Chung-Wai Shiau Taiwan
Philip L. Lorenzi United States
A.G. Thorsell Sweden
Caitriona Holohan United Kingdom
Dayong Zhai United States
Hollis D. Showalter United States
L. Lehtiö relative to T. Karlberg Sweden T. Karlberg's profile →
Citations per field
00.5×1.6×
T. Karlberg · 1×
Citations per year

Countries citing papers authored by L. Lehtiö

Since Specialization
Citations

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

Fields of papers citing papers by L. Lehtiö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013151
2 2014148
3 2010131
4 2010125
5 2009118
6 2012115
7 2000107
8 2011102
9 201097
10 200983
11 202169
12 200862
13 201355
14 200854
15 201654
16 201351
17 201649
18 202148
19 201348
20 200748

About L. Lehtiö

L. Lehtiö is a scholar working on Molecular Biology, Oncology, Immunology, Materials Chemistry and Physiology, having authored 104 papers that have together received 3.0k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (49 papers), Toxin Mechanisms and Immunotoxins (29 papers), Enzyme Structure and Function (18 papers), Wnt/β-catenin signaling in development and cancer (17 papers), DNA Repair Mechanisms (15 papers), Calcium signaling and nucleotide metabolism (13 papers), Cancer-related gene regulation (9 papers) and Signaling Pathways in Disease (7 papers). The work is most often cited by research in Physiology (219 citations), Oncology (1.1k citations), Molecular Biology (2.0k citations), Immunology (587 citations) and Cell Biology (213 citations). L. Lehtiö has collaborated with scholars based in Finland, United Kingdom and Germany. Frequent co-authors include T. Haikarainen, Stefan Krauß, Mohit Narwal, Harikanth Venkannagari, H. Schüler, Ezeogo Obaji, T. Karlberg, Adrian Goldman, Nai‐Wen Chi and Mirko M. Maksimainen. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, PLoS ONE, Scientific Reports and Bioorganic & Medicinal Chemistry.

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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