Paul C. Klauser

15 total papers · 593 total citations
11 papers, 452 citations indexed

About

Paul C. Klauser is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul C. Klauser has authored 11 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Organic Chemistry and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul C. Klauser's work include Click Chemistry and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Chemical Synthesis and Analysis (3 papers). Paul C. Klauser is often cited by papers focused on Click Chemistry and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Chemical Synthesis and Analysis (3 papers). Paul C. Klauser collaborates with scholars based in United States, Canada and China. Paul C. Klauser's co-authors include Lei Wang, Nanxi Wang, Yujeong Lee, Scott Silverman, Li Cao, Bingchen Yu, Qian Wang, Chen Qu, Xuemei Fu and Feng Zheng and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Paul C. Klauser

10 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul C. Klauser 328 204 116 86 34 11 452
Krishna Bajjuri 291 0.9× 172 0.8× 91 0.8× 95 1.1× 20 0.6× 12 455
Kianga Schmuck 266 0.8× 193 0.9× 61 0.5× 58 0.7× 18 0.5× 11 410
Lars Merkel 371 1.1× 227 1.1× 70 0.6× 38 0.4× 50 1.5× 16 513
Péter A. Szijj 271 0.8× 217 1.1× 183 1.6× 142 1.7× 13 0.4× 14 442
Ritu Raj 408 1.2× 244 1.2× 118 1.0× 93 1.1× 10 0.3× 16 524
Janina Cramer 415 1.3× 214 1.0× 129 1.1× 31 0.4× 17 0.5× 13 480
David R. Spiciarich 400 1.2× 215 1.1× 85 0.7× 56 0.7× 9 0.3× 10 475
R.F. Sherwood 341 1.0× 95 0.5× 264 2.3× 139 1.6× 43 1.3× 12 527
Paul D. Gesellchen 276 0.8× 191 0.9× 50 0.4× 61 0.7× 8 0.2× 15 507
Daxian Shan 289 0.9× 109 0.5× 74 0.6× 46 0.5× 8 0.2× 10 404

Countries citing papers authored by Paul C. Klauser

Since Specialization
Citations

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

Fields of papers citing papers by Paul C. Klauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul C. Klauser. 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 Paul C. Klauser. The network helps show where Paul C. Klauser may publish in the future.

Co-authorship network of co-authors of Paul C. Klauser

This figure shows the co-authorship network connecting the top 25 collaborators of Paul C. Klauser. A scholar is included among the top collaborators of Paul C. Klauser 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 Paul C. Klauser. Paul C. Klauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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