Josef Scheiber

1.8k citations
34 papers · 1.5k · h-index 17

Impact in

Papers in

Josef Scheiber

32 papers receiving 1.5k citations

Peers

Josef Scheiber
Comparison fields: 5 of 106
  • Computational Theory and Mathematics 885
  • Pharmacology 200
  • Pharmacology 348
  • Toxicology 65
  • Molecular Biology 722
Replace G. Richard Bickerton with:
G. Richard Bickerton United Kingdom
Zhi‐Jiang Yao China
David Méndez Colombia
Savita Shrivastava Canada
Jérémy Besnard United Kingdom
Nathan Dedman United Kingdom
María Paula Magariños Argentina
Lothar Terfloth Germany
Massimo Baroni Italy
Hongmao Sun United States
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Citations per field
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007270
2 2009245
3 2007193
4 2009131
5 2009131
6 200959
7 200756
8 200654
9 200541
10 201039
11
Which aspects of HTS are empirically correlated with downstream success?
200836
12 200536
13 200834
14 200734
15 200827
16 200720
17 200918
18 201714
19 200514
20 202013

About Josef Scheiber

Josef Scheiber is a scholar working on Computational Theory and Mathematics, Spectroscopy, Pharmacology, Molecular Biology and Pharmacology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Analytical Chemistry and Chromatography (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Protein purification and stability (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Chemical Synthesis and Analysis (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (885 citations), Pharmacology (200 citations), Pharmacology (348 citations), Toxicology (65 citations) and Molecular Biology (722 citations). Josef Scheiber has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Jeremy L. Jenkins, Andreas Bender, Meir Glick, John W. Davies, Sai Chetan K. Sukuru, László Urbán, Jacques Hamon, Steven Whitebread, Khalil Azzaoui and Ulrike Holzgrabe. Their work appears in journals such as Journal of Chemical Information and Modeling, European Journal of Organic Chemistry, ChemMedChem, Bioorganic & Medicinal Chemistry and Journal of 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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