Paul Erhardt

3.5k citations
113 papers · 2.3k · h-index 28

Impact in

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

Papers in

Paul Erhardt

111 papers receiving 2.2k citations

Peers

Paul Erhardt
Comparison fields: 5 of 124
  • Organic Chemistry 816
  • Pharmacology 165
  • Molecular Biology 901
  • Toxicology 44
  • Pharmacology 212
Replace M. Matilde Marques with:
M. Matilde Marques Portugal
Wendel L. Nelson United States
Ahmed H. Bakheit Saudi Arabia
Akiko Ohno Japan
Patrick S. Callery United States
Michael J. Kelner United States
Li‐Wei Zou China
Aaron B. Miller United States
David Mauleón Spain
Benjamin L. Van Duuren United States
Paul Erhardt relative to M. Matilde Marques Portugal M. Matilde Marques's profile →
Citations per field
00.5×1.6×
M. Matilde Marques · 1×
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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 2017127
3 2006103
4 198798
5 198791
6 202070
7 198260
8 200758
9 198258
10 198255
11 199352
12 200246
13 201945
14 200845
15 201341
16 200339
17 201538
18 201838
19 199137
20 198834

About Paul Erhardt

Paul Erhardt is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Pharmacology and Oncology, having authored 113 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (12 papers), Analytical Chemistry and Chromatography (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Computational Drug Discovery Methods (8 papers), Cancer Treatment and Pharmacology (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Synthetic Organic Chemistry Methods (6 papers) and Analytical Methods in Pharmaceuticals (5 papers). The work is most often cited by research in Organic Chemistry (816 citations), Pharmacology (165 citations), Molecular Biology (901 citations), Toxicology (44 citations) and Pharmacology (212 citations). Paul Erhardt has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jeffrey Sarver, Péter Nagy, William A. Maltese, Richard J. Gorczynski, W. Gary Anderson, Jean H. Overmeyer, Elinor H. Cantor, Ashley Young, Robert V. Smith and Christopher Trabbic. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, European Journal of Medicinal Chemistry, Pure and Applied Chemistry and Journal of Natural Products.

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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