Thomas Lundbäck

4.8k citations
61 papers · 2.8k indexed · 1 hit paper · h-index 26

Thomas Lundbäck

60 papers receiving 2.8k citations

Hit Papers

The cellular thermal shift assay for evaluating drug targ...9862014202620182022250500750

Peers

Thomas Lundbäck
Comparison fields: 5 of 116
  • Molecular Biology 2.0k
  • Computational Theory and Mathematics 263
  • Oncology 423
  • Physiology 56
  • Organic Chemistry 320
Replace F. Niesen with:
F. Niesen United Kingdom
Rozbeh Jafari Sweden
John S. Sack United States
Michael Hennig Switzerland
Daniel Martinez Molina Sweden
Marina Ignatushchenko United States
Zhulun Wang United States
Chaya S. Rapp United States
Giovanna Scapin United States
David L. Pincus United States
Thomas Lundbäck relative to F. Niesen United Kingdom F. Niesen's profile →
Citations per field
00.5×
F. Niesen · 1×
Citations per year

Countries citing papers authored by Thomas Lundbäck

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lundbäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20245
3 20223
4 20212
5 202018
6 202024
7 201821
8 201813
9 201819
10 20175
11 201718
12 201618
13 201623
14 201520
15 20141
16 201425
17 2000103
18 199877
19 1994142
20 199346

About Thomas Lundbäck

Thomas Lundbäck is a scholar working on Physical and Theoretical Chemistry, Molecular Biology and Toxicology, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Biochemical and Molecular Research (7 papers), DNA and Nucleic Acid Chemistry (7 papers), Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Receptor Mechanisms and Signaling (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and ATP Synthase and ATPases Research (5 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Computational Theory and Mathematics (263 citations) and Oncology (423 citations). Thomas Lundbäck has collaborated with scholars based in Sweden, United Kingdom and Japan. Frequent co-authors include Hanna Axelsson, Helena Almqvist, P. Nordlund, Rozbeh Jafari, Daniel Martinez Molina, Marina Ignatushchenko, Torleif Härd, Stefan Knapp, Rudolf Ladenstein and Brinton Seashore‐Ludlow. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Assay and Drug Development Technologies and ACS Chemical Biology.

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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