David Glick

216 papers receiving 4.9k citations

Hit Papers

Recruiting large online samples in the United States and India: Facebook, Mechanical Turk, and Qualtrics 2018 · 407 citations
4071964202619842005100200300400500

Peers

David Glick
Comparison fields: 5 of 198
  • Behavioral Neuroscience 374
  • Pharmacology 659
  • Public Administration 109
  • Biological Psychiatry 60
  • Biochemistry 173
Replace Norman M. Kaplan with:
Norman M. Kaplan United States
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Howard B. Kaplan United States
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David Glick relative to Norman M. Kaplan United States Norman M. Kaplan's profile →
Citations per field
00.5×7.5×
Norman M. Kaplan · 1×
Citations per year

Countries citing papers authored by David Glick

Since Specialization
Citations

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

Fields of papers citing papers by David Glick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fluorometric Determination of Corticosterone and Cortisol in 0.02–0.05 Milliliters of Plasma or Submilligram Samples of Adrenal Tissue1
Hit paper breakdown →
1964507
2
Recruiting large online samples in the United States and India: Facebook, Mechanical Turk, and Qualtrics
Hit paper breakdown →
2018407
3 1999302
4 2002196
5 2014170
6 2014135
7 2016127
8 1969118
9 2018110
10 1964109
11 201994
12 199589
13
Analysis of Biogenic Amines and Their Related Enzymes
197179
14 199578
15 195476
16 200269
17 196563
18 196760
19 195156
20
Quantitative chemical techniques of histo- and cytochemistry
196153

About David Glick

David Glick is a scholar working on Biochemistry, Anatomy, Cell Biology, Molecular Biology and Spectroscopy, having authored 221 papers that have together received 5.5k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (16 papers), Electoral Systems and Political Participation (13 papers), Amino Acid Enzymes and Metabolism (11 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Mass Spectrometry Techniques and Applications (10 papers), Biotin and Related Studies (9 papers), Adipose Tissue and Metabolism (9 papers) and Laser-induced spectroscopy and plasma (9 papers). The work is most often cited by research in Behavioral Neuroscience (374 citations), Pharmacology (659 citations), Public Administration (109 citations), Biological Psychiatry (60 citations) and Biochemistry (173 citations). David Glick has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Katherine Levine Einstein, Dorothy von Redlich, Dino Christenson, Seymour Levine, Hermona Soreq, Taylor C. Boas, Maxwell Palmer, Lloyd Silverman, Meira Sternfeld and Leonard J. Greenberg. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Endocrinology, Journal of Biological Chemistry, Analytical Chemistry and Archives of Biochemistry and Biophysics.

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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