Edward R. Arquilla

1.6k total citations
49 papers, 1.3k citations indexed

About

Edward R. Arquilla is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Edward R. Arquilla has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Surgery. Recurrent topics in Edward R. Arquilla's work include Diabetes and associated disorders (16 papers), Pancreatic function and diabetes (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Edward R. Arquilla is often cited by papers focused on Diabetes and associated disorders (16 papers), Pancreatic function and diabetes (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Edward R. Arquilla collaborates with scholars based in United States and Belgium. Edward R. Arquilla's co-authors include Abram B. Stavitsky, J. Paul Finn, Daniel A. Mercola, J. W. Morris, William Bromer, Joyce L. Hamlin, Elora J. Weringer, Suzanne Miyamoto, H. Ooms and P. O. Vogelhut and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Edward R. Arquilla

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward R. Arquilla United States 23 538 201 199 182 174 49 1.3k
Max Schlamowitz United States 19 646 1.2× 81 0.4× 88 0.4× 175 1.0× 158 0.9× 55 1.1k
P. F. Fottrell Ireland 21 478 0.9× 139 0.7× 211 1.1× 156 0.9× 70 0.4× 97 1.5k
R Masseyeff France 18 473 0.9× 118 0.6× 107 0.5× 57 0.3× 130 0.7× 97 1.2k
W. Vogt Germany 25 669 1.2× 126 0.6× 294 1.5× 64 0.4× 524 3.0× 125 1.9k
A. E. Axelrod United States 22 590 1.1× 64 0.3× 117 0.6× 85 0.5× 154 0.9× 66 1.5k
J. George Bekesi United States 25 708 1.3× 74 0.4× 115 0.6× 73 0.4× 554 3.2× 96 1.9k
J Kolínská Czechia 18 497 0.9× 142 0.7× 267 1.3× 104 0.6× 83 0.5× 55 1.1k
Mikio Tamaki Japan 21 655 1.2× 129 0.6× 193 1.0× 83 0.5× 74 0.4× 41 1.2k
Warren H. Evans United States 16 482 0.9× 76 0.4× 96 0.5× 46 0.3× 282 1.6× 34 1.2k
G. Michael Hass United States 23 774 1.4× 112 0.6× 157 0.8× 26 0.1× 136 0.8× 64 1.5k

Countries citing papers authored by Edward R. Arquilla

Since Specialization
Citations

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

Fields of papers citing papers by Edward R. Arquilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward R. Arquilla. 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 Edward R. Arquilla. The network helps show where Edward R. Arquilla may publish in the future.

Co-authorship network of co-authors of Edward R. Arquilla

This figure shows the co-authorship network connecting the top 25 collaborators of Edward R. Arquilla. A scholar is included among the top collaborators of Edward R. Arquilla 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 Edward R. Arquilla. Edward R. Arquilla 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.
Wellik, Sarah R., Margarita de Veciana, Mark A. Morgan, Kathleen M. Berkowitz, & Edward R. Arquilla. (1995). Naturally occurring insulin autoantibodies in neonates of normal pregnancies and their relationship to insulinemia and birth weight. American Journal of Obstetrics and Gynecology. 173(6). 1878–1884. 6 indexed citations
2.
Arquilla, Edward R., David Stenger, Brenda R. McDougall, & Thomas R. Ulich. (1987). Effect of IgG Subclasses on In Vivo Bioavailability and Metabolic Fate of Immune-Complexed Insulin in Lewis Rats. Diabetes. 36(10). 1144–1151. 1 indexed citations
3.
Golden, Michael P., M. Arthur Charles, Edward R. Arquilla, et al.. (1985). Insulin resistance in total lipodystrophy: Evidence for a pre-receptor defect in insulin action. Metabolism. 34(4). 330–335. 19 indexed citations
4.
Chobanian, Aram V., Edward R. Arquilla, Thomas B. Clarkson, et al.. (1982). Cardiovascular Complications. Diabetes. 31(Supplement_1). 54–64. 18 indexed citations
5.
Weringer, Elora J., et al.. (1982). Effects of insulin on wound healing in diabetic mice. European Journal of Endocrinology. 99(1). 101–108. 27 indexed citations
6.
Weringer, Elora J., et al.. (1981). The Effect of Antisera to Insulin, 2-DeoxygIucose-Induced Hyperglycemia, and Starvation on Wound Healing in Normal Mice. Diabetes. 30(5). 407–410. 13 indexed citations
7.
Arquilla, Edward R., et al.. (1978). Effects of zinc ion on the conformation of antigenic determinants on insulin. Biochemical Journal. 175(1). 289–297. 28 indexed citations
8.
Miyamoto, Suzanne, et al.. (1977). Modulation of 125I-insulin degradation by receptors in liver plasma membranes. Biochemical and Biophysical Research Communications. 74(2). 545–552. 23 indexed citations
9.
Arquilla, Edward R., et al.. (1976). Structural Studies of Insulin and Insulin Derivatives Using Various Immunologic Indicators and Antibody Populations. Diabetes. 25(5). 397–403. 12 indexed citations
10.
Hamlin, Joyce L. & Edward R. Arquilla. (1974). Monoiodoinsulin. Journal of Biological Chemistry. 249(1). 21–32. 62 indexed citations
11.
Mercola, Daniel A., J. W. Morris, & Edward R. Arquilla. (1972). Use of resonance interaction in the study of the chain folding of insulin in solution. Biochemistry. 11(21). 3860–3874. 54 indexed citations
12.
Morris, J. W., Daniel A. Mercola, & Edward R. Arquilla. (1970). Preparation and properties of 3-nitrotyrosine insulins. Biochemistry. 9(20). 3930–3937. 22 indexed citations
13.
Morris, J. W., Daniel A. Mercola, & Edward R. Arquilla. (1968). An analysis of the near ultraviolet circular dichroism of insulin. Biochimica et Biophysica Acta (BBA) - Protein Structure. 160(2). 145–150. 37 indexed citations
14.
15.
Arquilla, Edward R. & J. Paul Finn. (1965). GENETIC CONTROL OF COMBINING SITES OF INSULIN ANTIBODIES PRODUCED BY GUINEA PIGS. The Journal of Experimental Medicine. 122(4). 771–784. 45 indexed citations
16.
Arquilla, Edward R., et al.. (1964). INTERFERENCE WITH IMMUNE HEMOLYSIS BY GLYCOPROTEIN ANTIGENS. The Journal of Experimental Medicine. 120(5). 841–856. 7 indexed citations
17.
Arquilla, Edward R., Boris Catz, & J. Paul Finn. (1963). Immunological Studies with Partially Purified Bovine and Human TSH. The Journal of Immunology. 90(6). 843–848. 8 indexed citations
18.
Arquilla, Edward R. & J. Paul Finn. (1963). INSULIN ANTIBODY VARIATIONS IN RABBITS AND GUINEA PIGS AND MULTIPLE ANTIGENIC DETERMINANTS ON INSULIN. The Journal of Experimental Medicine. 118(1). 55–71. 30 indexed citations
19.
Stavitsky, Abram B. & Edward R. Arquilla. (1958). Insulin-Antik�rper und ihre klinische Bedeutung. Journal of Molecular Medicine. 36(8). 341–347. 3 indexed citations
20.
Stavitsky, Abram B. & Edward R. Arquilla. (1955). Micromethods for the study of proteins and antibodies. III. Procedures and applications of hemagglutination and hemagglutination-inhibition reactions with bis-diazotized benzidine and protein-conjugated red blood cells.. PubMed. 74(4). 306–12. 107 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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