David L. McCormick

6.1k citations
132 papers · 4.4k indexed · 1 hit paper · h-index 37

David L. McCormick

132 papers receiving 4.1k citations

Hit Papers

Pharmacokinetics, oral bioavailability, and metabolic pro...5062010202620152020100200300400500

Peers

David L. McCormick
Comparison fields: 5 of 160
  • Geriatrics and Gerontology 373
  • Biophysics 467
  • Biochemistry 428
  • Cancer Research 525
  • Genetics 753
Replace Francisco Rafael Martins Laurindo with:
Francisco Rafael Martins Laurindo Brazil
Han–Jung Chae South Korea
Roberto Bei Italy
Grant M. Hatch Canada
Joanna Saluk Poland
Rolf Gebhardt Germany
Samuel W. Cushman United States
Péter Bai Hungary
Alfredo Criollo Chile
Jianhua Zhang United States
David L. McCormick relative to Francisco Rafael Martins Laurindo Brazil Francisco Rafael Martins Laurindo's profile →
Citations per field
00.5×3.9×
Francisco Rafael Martins Laurindo · 1×
Citations per year

Countries citing papers authored by David L. McCormick

Since Specialization
Citations

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

Fields of papers citing papers by David L. McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201851
2
A Radio Frequency Radiation Reverberation Chamber Exposure System for Rodents
20173
3 20166
4 20152
5 20145
6 20145
7 201419
8 201214
9 20125
10 201238
11 201193
12
A pharmacokinetic/pharmacodynamic approach to evaluating the safety of zebularine in non-human primates
200610
13 200624
14 200531
15
Lack of chemopreventive activity of lycopene in the Wistar-Unilever rat prostate cancer model
20043
16 200016
17 20009
18 19954
19 199014
20 198814

About David L. McCormick

David L. McCormick is a scholar working on Biophysics, Biochemistry and Genetics, having authored 132 papers that have together received 4.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (36 papers), Retinoids in leukemia and cellular processes (26 papers), Electromagnetic Fields and Biological Effects (21 papers), Inflammatory mediators and NSAID effects (13 papers), Antioxidant Activity and Oxidative Stress (9 papers), Cancer, Lipids, and Metabolism (7 papers), Cancer, Stress, Anesthesia, and Immune Response (6 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Geriatrics and Gerontology (373 citations), Biophysics (467 citations) and Biochemistry (428 citations). David L. McCormick has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard C. Moon, Izet M. Kapetanović, Miguel Muzzio, Zhihua Huang, William D. Johnson, Thomas N. Thompson, R C Moon, Vernon E. Steele, K. V. N. Rao and Ronald A. Lubet.

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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