Frank‐Peter Theil

40 papers receiving 3.1k citations

Peers

Frank‐Peter Theil
Comparison fields: 5 of 120
  • Pharmacology 778
  • Radiology, Nuclear Medicine and Imaging 962
  • Oncology 964
  • Computational Theory and Mathematics 365
  • Statistics and Probability 177
Replace Hannah M. Jones with:
Hannah M. Jones United States
Thierry Lavé Switzerland
Christopher R. Gibson United States
Joseph E. Tomaszewski United States
Melinda G. Hollingshead United States
Nigel J. Waters United States
Jan Snoeys Belgium
Yanguang Cao United States
Liang‐Shang Gan United States
Alan V. Boddy United Kingdom
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Countries citing papers authored by Frank‐Peter Theil

Since Specialization
Citations

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

Fields of papers citing papers by Frank‐Peter Theil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank‐Peter Theil. 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 Frank‐Peter Theil. The network helps show where Frank‐Peter Theil may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002443
2 2000325
3 2010324
4 2002231
5 2011207
6 2012189
7 2001162
8 2011157
9 2003144
10 2008121
11 201299
12 200999
13 201094
14 200273
15 201269
16 201268
17 199760
18 201659
19 200355
20 200445

About Frank‐Peter Theil

Frank‐Peter Theil is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Pharmacology and Immunology, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Computational Drug Discovery Methods (8 papers), Biosimilars and Bioanalytical Methods (8 papers), Analytical Chemistry and Chromatography (6 papers), Protein purification and stability (5 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Pharmacology (778 citations), Radiology, Nuclear Medicine and Imaging (962 citations), Oncology (964 citations), Computational Theory and Mathematics (365 citations) and Statistics and Probability (177 citations). Frank‐Peter Theil has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Patrick Poulin, Paul J. Fielder, Leslie A. Khawli, C. Andrew Boswell, Saileta Prabhu, Rong Deng, Theodor W. Guentert, Kiran Mukhyala, Devin B. Tesar and Suhasini Iyer. Their work appears in journals such as Journal of Pharmaceutical Sciences, mAbs, Bioconjugate Chemistry, Journal of Pharmacokinetics and Pharmacodynamics and Molecular Pharmaceutics.

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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