David Lalka

70 papers receiving 1.6k citations

Peers

David Lalka
Comparison fields: 5 of 121
  • Pharmacology 341
  • Anesthesiology and Pain Medicine 149
  • Analytical Chemistry 250
  • Pharmacology 364
  • Pediatrics, Perinatology and Child Health 257
Replace B. Whiting with:
B. Whiting United Kingdom
Kenneth M. Piafsky Canada
B Beermann Sweden
M. J. Kendall United Kingdom
Donald Perrier United States
Peter J. Meffin United States
B Flouvat France
Robert A. Upton United States
Marc G. Bogaert Belgium
James D. Hulse United States
David Lalka relative to B. Whiting United Kingdom B. Whiting's profile →
Citations per field
00.5×1.6×
B. Whiting · 1×
Citations per year

Countries citing papers authored by David Lalka

Since Specialization
Citations

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

Fields of papers citing papers by David Lalka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986152
2 1978111
3 198392
4 198290
5 197685
6 197784
7 200680
8
Endogenous accumulation products and serum protein binding in uremia.
198161
9 198259
10 197855
11 198154
12 198051
13 197650
14 197843
15 200535
16 198335
17 198832
18 198332
19 198130
20 198029

About David Lalka

David Lalka is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Pediatrics, Perinatology and Child Health and Analytical Chemistry, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Analytical Methods in Pharmaceuticals (11 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Pharmacological Effects and Toxicity Studies (8 papers), Pharmaceutical studies and practices (6 papers), Anesthesia and Sedative Agents (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Pharmacology (341 citations), Anesthesiology and Pain Medicine (149 citations), Analytical Chemistry (250 citations), Pharmacology (364 citations) and Pediatrics, Perinatology and Child Health (257 citations). David Lalka has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Craig K. Svensson, David J. Edwards, Richard L. Slaughter, Allan J. McLean, James G. Baxter, Patrick J. McNamara, Milford G. Wyman, M.B. Meyer, M. Gibaldi and Milo Gibaldi. Their work appears in journals such as Journal of Pharmaceutical Sciences, Clinical Pharmacology & Therapeutics, British Journal of Clinical Pharmacology, The Journal of Clinical Pharmacology and Clinical Pharmacokinetics.

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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