Allen H. Pekar

1.5k total citations
22 papers, 1.2k citations indexed

About

Allen H. Pekar is a scholar working on Molecular Biology, Pharmaceutical Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Allen H. Pekar has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Pharmaceutical Science and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Allen H. Pekar's work include Protein purification and stability (7 papers), Protein Structure and Dynamics (5 papers) and Drug Solubulity and Delivery Systems (4 papers). Allen H. Pekar is often cited by papers focused on Protein purification and stability (7 papers), Protein Structure and Dynamics (5 papers) and Drug Solubulity and Delivery Systems (4 papers). Allen H. Pekar collaborates with scholars based in United States, Germany and Canada. Allen H. Pekar's co-authors include Bruce H. Frank, Muppalla Sukumar, David N. Brems, Mark L. Brader, Henry A. Havel, Ronald E. Chance, B H Frank, Brandon L. Doyle, Jessica L. Combs and John F. Carpenter and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Biochemistry.

In The Last Decade

Allen H. Pekar

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allen H. Pekar United States 16 891 202 199 193 175 22 1.2k
G.G. Dodson United Kingdom 14 849 1.0× 266 1.3× 63 0.3× 260 1.3× 268 1.5× 23 1.3k
Mark L. Brader United States 20 914 1.0× 79 0.4× 263 1.3× 88 0.5× 233 1.3× 33 1.3k
Henry A. Havel United States 21 650 0.7× 54 0.3× 74 0.4× 183 0.9× 276 1.6× 36 1.3k
Thomas Høeg-Jensen Denmark 20 859 1.0× 428 2.1× 108 0.5× 514 2.7× 125 0.7× 51 1.6k
D. C. Hodgkin United Kingdom 12 696 0.8× 196 1.0× 37 0.2× 162 0.8× 233 1.3× 20 1.1k
Keith J. Schray United States 18 434 0.5× 152 0.8× 38 0.2× 201 1.0× 154 0.9× 46 838
Vishal Agrawal United States 22 872 1.0× 97 0.5× 54 0.3× 309 1.6× 169 1.0× 45 1.6k
Ian P. Trayer United Kingdom 28 1.4k 1.6× 212 1.0× 101 0.5× 35 0.2× 123 0.7× 84 2.1k
Victoria Sluzky United States 5 486 0.5× 77 0.4× 61 0.3× 61 0.3× 65 0.4× 6 686
Marc Rodriguez France 24 1.1k 1.2× 78 0.4× 68 0.3× 49 0.3× 74 0.4× 51 1.7k

Countries citing papers authored by Allen H. Pekar

Since Specialization
Citations

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

Fields of papers citing papers by Allen H. Pekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allen H. Pekar. 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 Allen H. Pekar. The network helps show where Allen H. Pekar may publish in the future.

Co-authorship network of co-authors of Allen H. Pekar

This figure shows the co-authorship network connecting the top 25 collaborators of Allen H. Pekar. A scholar is included among the top collaborators of Allen H. Pekar 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 Allen H. Pekar. Allen H. Pekar 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.
2.
Gabrielson, John P., Mark L. Brader, Allen H. Pekar, et al.. (2006). Quantitation of Aggregate Levels in a Recombinant Humanized Monoclonal Antibody Formulation by Size-Exclusion Chromatography, Asymmetrical Flow Field Flow Fractionation, and Sedimentation Velocity. Journal of Pharmaceutical Sciences. 96(2). 268–279. 127 indexed citations
3.
Doyle, Brandon L., et al.. (2005). Biophysical signatures of noncovalent aggregates formed by a glucagonlike peptide-1 analog: A prototypical example of biopharmaceutical aggregation. Journal of Pharmaceutical Sciences. 94(12). 2749–2763. 6 indexed citations
4.
Sukumar, Muppalla, Brandon L. Doyle, Jessica L. Combs, & Allen H. Pekar. (2004). Opalescent Appearance of an IgG1 Antibody at High Concentrations and Its Relationship to Noncovalent Association. Pharmaceutical Research. 21(7). 1087–1093. 85 indexed citations
5.
Brader, Mark L., Muppalla Sukumar, Allen H. Pekar, et al.. (2002). Hybrid insulin cocrystals for controlled release delivery. Nature Biotechnology. 20(8). 800–804. 67 indexed citations
6.
Pekar, Allen H., et al.. (1998). Effects of Non-Covalent Self-Association on the Subcutaneous Absorption of a Therapeutic Peptide. Pharmaceutical Research. 15(2). 254–262. 43 indexed citations
7.
Radziuk, J., Henry A. Havel, Mark L. Brader, et al.. (1996). Physicochemical basis for the rapid time‐action of LysB28ProB29‐insulin: Dissociation of a protein‐ligand complex. Protein Science. 5(12). 2521–2531. 67 indexed citations
8.
Pekar, Allen H., et al.. (1995). Effect of Salts on the Structure of a Potent Analog of Growth Hormone Releasing Hormone As Determined by Optical Spectroscopy. Journal of Pharmaceutical Sciences. 84(4). 437–442. 1 indexed citations
9.
DeFelippis, Michael R., et al.. (1993). Evidence for a self-associating equilibrium intermediate during folding of human growth hormone. Biochemistry. 32(6). 1555–1562. 61 indexed citations
10.
Bryant, Christopher S., et al.. (1993). Acid stabilization of insulin. Biochemistry. 32(32). 8075–8082. 59 indexed citations
11.
Brems, David N., Ronald E. Chance, Richard D. DiMarchi, et al.. (1992). Altering the association properties of insulin by amino acid replacement. Protein Engineering Design and Selection. 5(6). 527–533. 160 indexed citations
12.
Weiss, Michael A., Bruce H. Frank, Igor Khait, et al.. (1990). NMR and photo-CIDNP studies of human proinsulin and prohormone processing intermediates with application to endopeptidase recognition. Biochemistry. 29(36). 8389–8401. 84 indexed citations
13.
Tillil, H., Bruce H. Frank, Allen H. Pekar, et al.. (1990). Hypoglycemic Potency and Metabolic Clearance Rate of Intravenously Administered Human Proinsulin and Metabolites*. Endocrinology. 127(5). 2418–2422. 27 indexed citations
14.
Frank, Bruce H. & Allen H. Pekar. (1974). Physical Properties of Nitroglucagons and Aminoglucagons. Journal of Biological Chemistry. 249(15). 4846–4850. 8 indexed citations
15.
Bromer, William, et al.. (1972). Glucagon Structure and Function. Journal of Biological Chemistry. 247(8). 2581–2585. 30 indexed citations
16.
Frank, B H, et al.. (1972). Insulin and Proinsulin Conformation in Solution. Diabetes. 21(Supplement_2). 486–491. 40 indexed citations
17.
Frank, B H, et al.. (1972). Physical studies on proinsulin. Comparison of the titration behavior of the tyrosine residues in insulin and proinsulin. Biochemistry. 11(26). 4926–4931. 22 indexed citations
18.
Pekar, Allen H. & Bruce H. Frank. (1972). Conformation of proinsulin. Comparison of insulin and proinsulin self-association at neutral pH. Biochemistry. 11(22). 4013–4016. 165 indexed citations
19.
Pekar, Allen H., et al.. (1971). On-line data acquisition from the ultracentrifuge. Analytical Biochemistry. 42(2). 516–529. 9 indexed citations
20.
Adams, E. T., Allen H. Pekar, D. A. Soucek, et al.. (1969). Chemically reacting systems of the type A + B ⇄ AB. II. Osmometry. Biopolymers. 7(1). 5–19. 10 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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