Christoph Thiel

675 citations
32 papers · 325 indexed · h-index 10
Topics
Pharmacogenetics and Drug Metabolism (8 papers)Computational Drug Discovery Methods (5 papers)Cryptographic Implementations and Security (3 papers)
Partner nations
GermanySwitzerlandSpain

In The Last Decade

Christoph Thiel

30 papers receiving 314 citations

Peers

Christoph Thiel
Comparison fields: 5 of 104
  • Molecular Biology 77
  • Pharmacology 74
  • Oncology 69
  • Artificial Intelligence 54
  • Information Systems 46
Replace Xiaolong Wu with:
Xiaolong Wu China
Zun Liu China
Qiaobo Ye China
Yash Gandhi United States
Richard Zang United States
Christophe Doche France
Zhiwei Cao China
Hyungsub Kim South Korea
Christoph Thiel relative to Xiaolong Wu China Xiaolong Wu's profile →
Citations per field
00.5×4.1×
Xiaolong Wu · 1×
Citations per year

Countries citing papers authored by Christoph Thiel

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Thiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Thiel

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Thiel. A scholar is included among the top collaborators of Christoph Thiel 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 Christoph Thiel. Christoph Thiel 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 2
2 23
3 10
4 29
5 15
6 0
7 9
8 35
9 15
10 3
11 8
12 74
13 8
14 2
15
Assessment of Aircraft Accident Probability on Industrial Facilities by Means of GIS Risk-Register, the Examples of Geneva, "Geneva Risk"
2
16 5
17
Cryptographic Protocols Based on Real-Quadratic A-fields
2
18 3
19
On the complexity of some problems in algorithmic algebraic number theory
10
20
Die Gestaltung computergestützter Gruppenarbeit unter Berücksichtigung arbeitswissenschaftlicher Kriterien
0

About Christoph Thiel

Christoph Thiel is a scholar working on Pharmacology, Computational Theory and Mathematics and Hardware and Architecture, having authored 32 papers that have together received 325 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Computational Drug Discovery Methods (5 papers) and Cryptographic Implementations and Security (3 papers). The work is most often cited by research in Pharmacology (74 citations), Computational Theory and Mathematics (43 citations) and Oncology (69 citations). Christoph Thiel has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Lars Kuepfer, Lars M. Blank, Vanessa Baier, Volker Müller, Andreas Stein, Jan G. Hengstler, Ahmed Ghallab, Ute Hofmann, Rolf Gebhardt and Sebastian Zellmer. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Mathematics of Computation.

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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