Henrike Veith

1.8k citations
17 papers · 796 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Biochemical and Molecular Research 4
    • Metabolism, Diabetes, and Cancer 3
    • Enzyme function and inhibition 3
    • Cancer, Hypoxia, and Metabolism 8

Henrike Veith

17 papers receiving 773 citations

Peers

Henrike Veith
Comparison fields: 5 of 74
  • Cancer Research 310
  • Pharmacology 125
  • Computational Theory and Mathematics 207
  • Biochemistry 55
  • Molecular Biology 479
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Citations per field
00.5×3.6×
Raynard L. Bateman · 1×
Citations per year

Countries citing papers authored by Henrike Veith

Since Specialization
Citations

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

Fields of papers citing papers by Henrike Veith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009166
2 2009131
3 2010105
4 200864
5 201155
6 201155
7 200442
8 200840
9
ML265: A potent PKM2 activator induces tetramerization and reduces tumor formation and size in a mouse xenograft model
201329
10 201225
11 200623
12 200918
13 201217
14 201315
15
ML285 affects reactive oxygen species’ inhibition of pyruvate kinase M2
20138
16
Identification of activators for the M2 isoform of human pyruvate kinase Version 3
20112
17 19741

About Henrike Veith

Henrike Veith is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Computational Theory and Mathematics and Biochemistry, having authored 17 papers that have together received 796 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Pharmacogenetics and Drug Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Computational Drug Discovery Methods (4 papers), Biochemical and Molecular Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Enzyme function and inhibition (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cancer Research (310 citations), Pharmacology (125 citations), Computational Theory and Mathematics (207 citations), Biochemistry (55 citations) and Molecular Biology (479 citations). Henrike Veith has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Christopher P. Austin, Douglas S. Auld, Min Shen, James Inglese, Noel Southall, Ruili Huang, Matthew B. Boxer, Craig J. Thomas, Matthew G. Vander Heiden and William Leister. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Analytical Biochemistry, Journal of Medicinal Chemistry, Molecular Informatics and Journal of Chemical Information and Modeling.

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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