Jed N. Lampe

1.0k citations
44 papers · 818 indexed · h-index 17
Topics
Pharmacogenetics and Drug Metabolism (25 papers)Computational Drug Discovery Methods (9 papers)Drug Transport and Resistance Mechanisms (8 papers)

In The Last Decade

Jed N. Lampe

40 papers receiving 798 citations

Peers

Jed N. Lampe
Comparison fields: 5 of 94
  • Pharmacology 303
  • Molecular Biology 292
  • Oncology 161
  • Computational Theory and Mathematics 107
  • Environmental Chemistry 78
Replace Vineet Kumar with:
Vineet Kumar United States
Václav Martínek Czechia
Christopher Bevan United States
Rupert P. Austin United Kingdom
Markus Walles Switzerland
Jörg Keldenich Germany
Per Garberg Sweden
Grégori Gerebtzoff Switzerland
Richard A. Morrison United States
Joelle Le United Kingdom
Jed N. Lampe relative to Vineet Kumar United States Vineet Kumar's profile →
Citations per field
00.5×3.5×
Vineet Kumar · 1×
Citations per year

Countries citing papers authored by Jed N. Lampe

Since Specialization
Citations

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

Fields of papers citing papers by Jed N. Lampe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jed N. Lampe. 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 Jed N. Lampe. The network helps show where Jed N. Lampe may publish in the future.

Co-authorship network of co-authors of Jed N. Lampe

This figure shows the co-authorship network connecting the top 25 collaborators of Jed N. Lampe. A scholar is included among the top collaborators of Jed N. Lampe 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 Jed N. Lampe. Jed N. Lampe 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 0
2 0
3 4
4 0
5 1
6 8
7 11
8 9
9 8
10 7
11 41
12 81
13 28
14 16
15 41
16 14
17 16
18 6
19 22
20 13

About Jed N. Lampe

Jed N. Lampe is a scholar working on Pharmacology, Computational Theory and Mathematics and Pharmacology, having authored 44 papers that have together received 818 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (25 papers), Computational Drug Discovery Methods (9 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Pharmacology (303 citations), Electrochemistry (55 citations) and Environmental Chemistry (78 citations). Jed N. Lampe has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Sylvie E. Kandel, Paul R. Ortiz de Montellano, Bruno Hagenbuch, William M. Atkins, Haixing Li, Udayan Apte, Alex J. McCarthy, Kevin M. Beggs, Steven R. McGreal and Sumedha Gunewardena. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological 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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