Josef Scheiber

1.8k citations
32 papers · 1.4k · h-index 17

Impact in

Papers in

Josef Scheiber

30 papers receiving 1.4k citations

Peers

Josef Scheiber
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 831
  • Pharmacology 191
  • Pharmacology 333
  • Toxicology 63
  • Molecular Biology 683
Replace Zhi‐Jiang Yao with:
Zhi‐Jiang Yao China
David Méndez Colombia
Nathan Dedman United Kingdom
Jérémy Besnard United Kingdom
G. Richard Bickerton United Kingdom
María Paula Magariños Argentina
Lothar Terfloth Germany
Massimo Baroni Italy
Timothy Jewison Canada
Konstantin V. Balakin Russia
Josef Scheiber relative to Zhi‐Jiang Yao China Zhi‐Jiang Yao's profile →
Citations per field
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Zhi‐Jiang Yao · 1×
Citations per year

Countries citing papers authored by Josef Scheiber

Since Specialization
Citations

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

Fields of papers citing papers by Josef Scheiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007249
2 2009230
3 2007182
4 2009127
5 2009124
6 200958
7 200654
8 200751
9 201039
10 200538
11 200536
12
Which aspects of HTS are empirically correlated with downstream success?
200834
13 200733
14 200830
15 200827
16 200718
17 200917
18 200514
19 202013
20 202311

About Josef Scheiber

Josef Scheiber is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Pharmacology and Organic Chemistry, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Pharmacogenetics and Drug Metabolism (4 papers), Analytical Chemistry and Chromatography (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Chemical Synthesis and Analysis (3 papers), Molecular Sensors and Ion Detection (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (831 citations), Pharmacology (191 citations), Pharmacology (333 citations), Toxicology (63 citations) and Molecular Biology (683 citations). Josef Scheiber has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Andreas Bender, Jeremy L. Jenkins, Meir Glick, John W. Davies, Sai Chetan K. Sukuru, Steven Whitebread, László Urbán, Jacques Hamon, Ulrike Holzgrabe and Khalil Azzaoui. Their work appears in journals such as Journal of Chemical Information and Modeling, ChemMedChem, Journal of Medicinal Chemistry, European Journal of Organic Chemistry 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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