James A. Oppermann

617 total citations
17 papers, 495 citations indexed

About

James A. Oppermann is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, James A. Oppermann has authored 17 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Nutrition and Dietetics. Recurrent topics in James A. Oppermann's work include Biochemical Analysis and Sensing Techniques (5 papers), Biochemical effects in animals (4 papers) and Analytical Methods in Pharmaceuticals (3 papers). James A. Oppermann is often cited by papers focused on Biochemical Analysis and Sensing Techniques (5 papers), Biochemical effects in animals (4 papers) and Analytical Methods in Pharmaceuticals (3 papers). James A. Oppermann collaborates with scholars based in United States, Spain and France. James A. Oppermann's co-authors include Eavan G. Muldoon, R. E. Ranney, Grant L. Schoenhard, F. Gilbert McMahon, Robert Kringle, Charles F. Ryan, Greg C. G. Wei, K.K. Midha, Frederick M. Radzialowski and Deborah L. Volkots and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Nutrition and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

James A. Oppermann

17 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James A. Oppermann United States	11	100	100	86	60	54	17	495
Toshiji Igarashi Japan	11	130 1.3×	17 0.2×	73 0.8×	7 0.1×	56 1.0×	42	411
Susanna Tse United States	14	146 1.5×	15 0.1×	40 0.5×	17 0.3×	19 0.4×	26	474
Mark R. Stiles United States	9	90 0.9×	8 0.1×	29 0.3×	17 0.3×	16 0.3×	13	416
Praveen M. Bahadduri United States	9	247 2.5×	85 0.8×	28 0.3×	7 0.1×	8 0.1×	10	728
Rakesh Nagilla United States	12	263 2.6×	28 0.3×	41 0.5×	14 0.2×	8 0.1×	27	649
Judi Weissinger United States	11	93 0.9×	8 0.1×	20 0.2×	87 1.4×	17 0.3×	22	448
Fengxiang Yan China	12	331 3.3×	35 0.3×	55 0.6×	25 0.4×	26 0.5×	25	935
Katja Breskvar Slovenia	16	434 4.3×	32 0.3×	22 0.3×	19 0.3×	50 0.9×	44	833
Sihyung Yang South Korea	16	210 2.1×	41 0.4×	59 0.7×	3 0.1×	44 0.8×	49	769
John Gorski United States	7	175 1.8×	21 0.2×	52 0.6×	8 0.1×	8 0.1×	10	646

Countries citing papers authored by James A. Oppermann

Since Specialization

Citations

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

Fields of papers citing papers by James A. Oppermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Oppermann. 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 James A. Oppermann. The network helps show where James A. Oppermann may publish in the future.

Co-authorship network of co-authors of James A. Oppermann

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Oppermann. A scholar is included among the top collaborators of James A. Oppermann 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 James A. Oppermann. James A. Oppermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Lockwood, G., et al.. (1999). Characterization of the highly variable bioavailability of tiludronate in normal volunteers using population pharmacokinetic methodologies. European Journal of Drug Metabolism and Pharmacokinetics. 24(3). 249–254. 8 indexed citations

Kringle, Robert, et al.. (1995). An Approach for Widening the Bioequivalence Acceptance Limits in the Case of Highly Variable Drugs. Pharmaceutical Research. 12(12). 1865–1868. 70 indexed citations

Diana, Guy D., Patrick J. Rudewicz, Daniel C. Pevear, et al.. (1995). Picornavirus Inhibitors: Trifluoromethyl Substitution Provides a Global Protective Effect against Hepatic Metabolism. Journal of Medicinal Chemistry. 38(8). 1355–1371. 83 indexed citations

Oppermann, James A., et al.. (1993). Involvement of cytochrome P-450IIIA in metabolism of potassium canrenoate to an epoxide: mechanism of inhibition of the epoxide formation by spironolactone and its sulfur-containing metabolite.. Journal of Pharmacology and Experimental Therapeutics. 266(1). 1–7. 24 indexed citations

Gwilt, Peter R., et al.. (1990). Pharmacokinetics of disopyramide in the dog. Importance of mono-N-dealkylated metabolite kinetics in assessing pharmacokinetic modeling of the parent drug.. Drug Metabolism and Disposition. 18(1). 42–49. 6 indexed citations

Grahn, Amy, et al.. (1990). Suitability of the dog as an animal model for evaluating theophylline absorption and food effects from different formulations. International Journal of Pharmaceutics. 60(2). 125–132. 16 indexed citations

Burton, Earl G., Grant L. Schoenhard, R. Schmidt, et al.. (1989). Identification of N-β-L-Aspartyl-L-Phenylalanine as a Normal Constituent of Human Plasma and Urine. Journal of Nutrition. 119(5). 713–721. 4 indexed citations

Cook, Chyung S., Grant L. Schoenhard, Charles E. Piper, et al.. (1988). Difference in metabolic profile of potassium canrenoate and spironolactone in the rat: Mutagenic metabolites unique to potassium canrenoate. Archives of Toxicology. 61(3). 201–212. 25 indexed citations

Schoenhard, Grant L., et al.. (1985). Metabolism and pharmacokinetic studies of misoprostol. Digestive Diseases and Sciences. 30(S11). 126S–128S. 50 indexed citations

10.

Burton, Earl G., et al.. (1984). Absorption by the Rhesus Monkey of Phenylalanine Methyl Ester and Species Differences in Its Metabolism by Blood, Plasma and Intestinal Mucosa. Journal of Nutrition. 114(10). 1940–1945. 5 indexed citations

11.

Chien, Yie W., et al.. (1982). Medicated Tampons: Intravaginal Sustained Administration of Metronidazole and In Vitro-In Vivo Relationships. Journal of Pharmaceutical Sciences. 71(7). 767–771. 4 indexed citations

12.

Ranney, R. E., James A. Oppermann, Eavan G. Muldoon, & F. Gilbert McMahon. (1976). Comparative metabolism of aspartame in experimental animals and humans. Journal of Toxicology and Environmental Health. 2(2). 441–451. 111 indexed citations

13.

Radzialowski, Frederick M. & James A. Oppermann. (1974). Effect of phencyclidine on hepatic drug metabolism in the rat. Toxicology and Applied Pharmacology. 27(1). 108–112. 13 indexed citations

14.

Oppermann, James A., Eavan G. Muldoon, & R. E. Ranney. (1973). Effect of Aspartame on Phenylalanine Metabolism in the Monkey. Journal of Nutrition. 103(10). 1460–1466. 6 indexed citations

15.

Oppermann, James A., Eavan G. Muldoon, & R. E. Ranney. (1973). Metabolism of Aspartame in Monkeys. Journal of Nutrition. 103(10). 1454–1459. 33 indexed citations

16.

Oppermann, James A., et al.. (1972). The role of metabolism in temperature-dependent supersensitivity of guinea-pig atria to sympathomimetic amines. European Journal of Pharmacology. 18(2). 266–270. 18 indexed citations

17.

Oppermann, James A., et al.. (1971). Temperature dependent sensitivity of isolated guinea-pig atria to sympathomimetic amines. Life Sciences. 10(11). 613–622. 19 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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