Ulrich Schopfer

2.6k citations
34 papers · 1.8k indexed · 1 hit paper · h-index 15
Topics
Computational Drug Discovery Methods (12 papers)Analytical Chemistry and Chromatography (6 papers)Molecular spectroscopy and chirality (6 papers)

In The Last Decade

Ulrich Schopfer

33 papers receiving 1.7k citations

Hit Papers

Impact of high-throughput screening in biomedical research20112026201620212011250500750

Peers

Ulrich Schopfer
Comparison fields: 5 of 125
  • Molecular Biology 962
  • Organic Chemistry 496
  • Computational Theory and Mathematics 483
  • Biomedical Engineering 202
  • Pharmacology 153
Replace S. Barret Kalindjian with:
S. Barret Kalindjian United Kingdom
Brian Y. Feng United States
Thomas S. Rush United States
Martyn Banks United States
Dejan Bojanic United States
G. Sitta Sittampalam United States
James H. Nettles United States
Thomas Lundbäck Sweden
Thompson N. Doman United States
Alleyn T. Plowright Sweden
Ulrich Schopfer relative to S. Barret Kalindjian United Kingdom S. Barret Kalindjian's profile →
Citations per field
00.5×1.5×2.5×
S. Barret Kalindjian · 1×
Citations per year

Countries citing papers authored by Ulrich Schopfer

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Schopfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Schopfer

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Schopfer. A scholar is included among the top collaborators of Ulrich Schopfer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrich Schopfer. Ulrich Schopfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 44
3 4
4 13
5 69
6 27
7 6
8 9
9
Impact of high-throughput screening in biomedical researchbreakdown →
920
10 17
11 2
12 2
13 3
14 3
15 51
16 18
17 33
18 110
19 25
20 11

About Ulrich Schopfer

Ulrich Schopfer is a scholar working on Computational Theory and Mathematics, Spectroscopy and Biophysics, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (6 papers) and Molecular spectroscopy and chirality (6 papers). The work is most often cited by research in Computational Theory and Mathematics (483 citations), Organic Chemistry (496 citations) and Biophysics (94 citations). Ulrich Schopfer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Achim Schlapbach, Martyn Banks, Darren V. S. Green, Dragan A. Cirovic, Dejan Bojanic, G. Sitta Sittampalam, Jeff W. Paslay, William P. Janzen, Tina Garyantes and David Burns. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Nature Reviews Drug 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026