David Glick

9.7k total citations · 2 hit papers
221 papers, 5.5k citations indexed

About

David Glick is a scholar working on Molecular Biology, Cell Biology and Sociology and Political Science. According to data from OpenAlex, David Glick has authored 221 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 21 papers in Cell Biology and 18 papers in Sociology and Political Science. Recurrent topics in David Glick's work include Polyamine Metabolism and Applications (16 papers), Electoral Systems and Political Participation (13 papers) and Amino Acid Enzymes and Metabolism (11 papers). David Glick is often cited by papers focused on Polyamine Metabolism and Applications (16 papers), Electoral Systems and Political Participation (13 papers) and Amino Acid Enzymes and Metabolism (11 papers). David Glick collaborates with scholars based in United States, Israel and Denmark. David Glick's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David Glick

216 papers receiving 4.9k citations

Hit Papers

Fluorometric Determination of Corticosterone and Cortisol... 1964 2026 1984 2005 1964 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Glick United States 36 1.6k 695 659 450 425 221 5.5k
Norman M. Kaplan United States 45 1.1k 0.7× 825 1.2× 532 0.8× 1.2k 2.7× 337 0.8× 335 11.8k
David Booth United Kingdom 55 442 0.3× 930 1.3× 196 0.3× 2.2k 4.9× 414 1.0× 341 9.8k
David Coleman United States 38 1.5k 0.9× 772 1.1× 166 0.3× 1.5k 3.3× 144 0.3× 125 6.0k
John Allen United States 39 2.0k 1.2× 987 1.4× 145 0.2× 364 0.8× 833 2.0× 100 6.8k
John R. Walker Canada 71 5.0k 3.2× 883 1.3× 800 1.2× 780 1.7× 60 0.1× 412 20.3k
Richard A. King United States 53 2.8k 1.8× 266 0.4× 151 0.2× 724 1.6× 53 0.1× 275 9.3k
David Dooley United States 47 1.6k 1.0× 1.1k 1.7× 452 0.7× 1.1k 2.5× 108 0.3× 113 8.0k
Paul K. Jones United States 46 1.8k 1.1× 478 0.7× 691 1.0× 2.2k 4.9× 147 0.3× 140 9.7k
John B. Clark United Kingdom 42 3.4k 2.2× 1.4k 2.1× 230 0.3× 2.0k 4.3× 383 0.9× 117 8.5k
Patrik K. E. Magnusson Sweden 58 2.4k 1.5× 544 0.8× 234 0.4× 1.2k 2.7× 109 0.3× 188 10.2k

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-authorship network of co-authors of David Glick

This figure shows the co-authorship network connecting the top 25 collaborators of David Glick. A scholar is included among the top collaborators of David Glick 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 David Glick. David Glick 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
1.
MaCurdy, Thomas, et al.. (2024). Reprint of: Profiling the plight of disconnected youth in America. Journal of Econometrics. 243(1-2). 105820–105820.
3.
MaCurdy, Thomas, et al.. (2023). Profiling the plight of disconnected youth in America. Journal of Econometrics. 238(2). 105557–105557. 1 indexed citations
4.
Glick, David & Maxwell Palmer. (2021). County Over Party: How Governors Prioritized Geography Not Particularism in the Distribution of Opportunity Zones. British Journal of Political Science. 52(4). 1902–1910.
5.
Einstein, Katherine Levine, David Glick, & Maxwell Palmer. (2020). Can Mayors Lead on Climate Change? Evidence from Six Years of Surveys. The Forum. 18(1). 71–86. 3 indexed citations
6.
Christenson, Dino & David Glick. (2018). Reassessing the Supreme Court: How Decisions and Negativity Bias Affect Legitimacy. Political Research Quarterly. 72(3). 637–652. 37 indexed citations
7.
Boas, Taylor C., Dino Christenson, & David Glick. (2018). Recruiting large online samples in the United States and India: Facebook, Mechanical Turk, and Qualtrics. Political Science Research and Methods. 8(2). 232–250. 407 indexed citations breakdown →
8.
Einstein, Katherine Levine & David Glick. (2016). Does Race Affect Access to Government Services? An Experiment Exploring Street‐Level Bureaucrats and Access to Public Housing. American Journal of Political Science. 61(1). 100–116. 127 indexed citations
9.
Einstein, Katherine Levine & David Glick. (2015). Model Neighborhoods through Mayors' Eyes Fifty Years after the Civil Rights Act. Boston University law review. 95(3). 873. 2 indexed citations
10.
Glick, David. (2013). Safety in Numbers: Mainstream-Seeking Diffusion in Response to Executive Compensation Regulations. Quarterly Journal of Political Science. 8(2). 95–125. 4 indexed citations
11.
Glick, David. (2012). Learning by Mimicking and Modifying: A Model of Policy Knowledge Diffusion with Evidence from Legal Implementation. The Journal of Law Economics and Organization. 30(2). 339–370. 16 indexed citations
12.
Stoilov, Peter, Eran Meshorer, Marieta Gencheva, et al.. (2002). Defects in Pre-mRNA Processing as Causes of and Predisposition to Diseases. DNA and Cell Biology. 21(11). 803–818. 69 indexed citations
13.
Ehrlich, Gal, Dalia Ginzberg, Yael Loewenstein, et al.. (1994). Population Diversity and Distinct Haplotype Frequencies Associated with ACHE and BCHE Genes of Israeli Jews from Trans-caucasian Georgia and from Europe. Genomics. 22(2). 288–295. 25 indexed citations
14.
Glick, David, et al.. (1991). Conformational change that accompanies pepsinogen activation observed in real time by fluorescence energy transfer. International journal of peptide & protein research. 37(3). 230–235. 4 indexed citations
15.
Suelter, Clarence H., J. Throck Watson, & David Glick. (1990). Biomedical applications of mass spectrometry. Wiley eBooks. 19 indexed citations
16.
Glick, David, et al.. (1989). Studies on the irreversible step of pepsinogen activation. Biochemistry. 28(6). 2626–2630. 17 indexed citations
17.
Glick, David, H. Ben‐Aryeh, D. Gutman, & Raymonde Szargel. (1976). Relation between idiopathic glossodynia and salivary flow rate and content. International Journal of Oral Surgery. 5(4). 161–165. 48 indexed citations
18.
Engström, Arne & David Glick. (1956). Localization and Quantitation of Water in Biological Samples by Historadiography. Science. 124(3210). 27–28. 5 indexed citations
19.
Glick, David. (1954). Methods of biochemical analysis. Volume 1.. Methods of biochemical analysis. 2 indexed citations
20.
Adams, Forrest H., et al.. (1952). Mucolytic enzyme systems. The Journal of Pediatrics. 41(3). 258–261. 6 indexed citations

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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