Paul Erhardt

3.6k citations
117 papers · 2.6k · h-index 28

Impact in

    • Synthesis and Biological Evaluation
    • Synthesis and biological activity
    • Catalytic C–H Functionalization Methods

Papers in

    • Click Chemistry and Applications 7
    • Synthetic Organic Chemistry Methods 6
    • Carbohydrate Chemistry and Synthesis 6
    • Pharmacogenetics and Drug Metabolism 10

Paul Erhardt

112 papers receiving 2.4k citations

Peers

Paul Erhardt
Comparison fields: 5 of 126
  • Organic Chemistry 845
  • Pharmacology 188
  • Molecular Biology 939
  • Pharmacology 215
  • Toxicology 43
Replace Aaron B. Miller with:
Aaron B. Miller United States
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Carlo Irace Italy
Elena Obrador Spain
Adnan A. Elfarra United States
David G. Tew United Kingdom
Michael A. Malfatti United States
Akiko Ohno Japan
Patrick S. Callery United States
Hans Ehrsson Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Paul Erhardt

Since Specialization
Citations

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

Fields of papers citing papers by Paul Erhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012154
2 2017143
3 2006113
4 198799
5 198795
6 202078
7 198263
8 198262
9 200760
10 198259
11 199352
12 200248
13 200347
14 201947
15 200847
16 201845
17 201344
18 200243
19 201540
20 199139

About Paul Erhardt

Paul Erhardt is a scholar working on Organic Chemistry, Pharmacology, Spectroscopy, Molecular Biology and Computational Theory and Mathematics, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Pharmacogenetics and Drug Metabolism (10 papers), Analytical Chemistry and Chromatography (9 papers), Chemical Synthesis and Analysis (9 papers), Click Chemistry and Applications (7 papers), Cancer Treatment and Pharmacology (6 papers), Synthetic Organic Chemistry Methods (6 papers) and Carbohydrate Chemistry and Synthesis (6 papers). The work is most often cited by research in Organic Chemistry (845 citations), Pharmacology (188 citations), Molecular Biology (939 citations), Pharmacology (215 citations) and Toxicology (43 citations). Paul Erhardt has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jeffrey G. Sarver, W. Gary Anderson, Richard J. Gorczynski, Peter I. Nagy, William A. Maltese, Jean H. Overmeyer, Ashley M. Young, Elinor H. Cantor, Robert V. Smith and Christopher J. Trabbic. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, European Journal of Medicinal Chemistry, Journal of Chromatography A and Pure and Applied 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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