Alexander Böcker

926 citations
18 papers · 736 indexed · h-index 14

Impact in

Papers in

Alexander Böcker

18 papers receiving 722 citations

Peers

Alexander Böcker
Comparison fields: 5 of 98
  • Geriatrics and Gerontology 52
  • Computational Theory and Mathematics 131
  • Neurology 62
  • Molecular Biology 439
  • Pharmacology 39
Replace Surendra Kumar Trigun with:
Surendra Kumar Trigun India
Young Ho Seo South Korea
О.А. Бунеева Russia
Lixia Xie China
Li-Fang Yu China
John Skoko United States
Lidia Ciccone Italy
Sebastiano Intagliata Italy
Alaa M. Hayallah Egypt
Jingjing Shi China
Alexander Böcker relative to Surendra Kumar Trigun India Surendra Kumar Trigun's profile →
Citations per field
00.5×2.5×
Surendra Kumar Trigun · 1×
Citations per year

Countries citing papers authored by Alexander Böcker

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Böcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013143
2 201288
3 201579
4 201274
5 201258
6 200545
7 201241
8 201034
9 200430
10 201827
11 200624
12 200824
13 200718
14 202215
15 201512
16 201112
17 20079
18 20073

About Alexander Böcker

Alexander Böcker is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Neurology and Spectroscopy, having authored 18 papers that have together received 736 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Analytical Chemistry and Chromatography (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Protein Degradation and Inhibitors (2 papers), Machine Learning in Materials Science (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (52 citations), Computational Theory and Mathematics (131 citations), Neurology (62 citations), Molecular Biology (439 citations) and Pharmacology (39 citations). Alexander Böcker has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Gisbert Schneider, Ulrich M. Lauer, Andreas Teckentrup, Sascha Venturelli, Michael Bitzer, Christian Busch, Christian Leischner, Seema Noor, Timo Weiland and Thomas S. Weiß. Their work appears in journals such as Journal of Chemical Information and Modeling, ChemMedChem, PLoS ONE, Molecular Pharmaceutics and SLAS DISCOVERY.

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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