D L Behrens

501 total citations
10 papers, 325 citations indexed

About

D L Behrens is a scholar working on Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, D L Behrens has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in D L Behrens's work include Pancreatic and Hepatic Oncology Research (1 paper), Cancer therapeutics and mechanisms (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). D L Behrens is often cited by papers focused on Pancreatic and Hepatic Oncology Research (1 paper), Cancer therapeutics and mechanisms (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). D L Behrens collaborates with scholars based in United States, Switzerland and Germany. D L Behrens's co-authors include Shih-Fong Chen, Frank W. Perrella, Daniel L. Dexter, Deborra Mullins, JL Gross, Paul L. Kornblith, Steven P. Seitz, Robert F. Kaltenbach, Kevin R. Oldenburg and Ilona Kariv and has published in prestigious journals such as Journal of Medicinal Chemistry, Cellular and Molecular Life Sciences and Journal of Pharmaceutical Sciences.

In The Last Decade

D L Behrens

10 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D L Behrens United States 7 179 78 49 39 35 10 325
Gary A. Cain United States 11 261 1.5× 192 2.5× 50 1.0× 28 0.7× 46 1.3× 19 555
Michael P. Kotick United States 11 327 1.8× 163 2.1× 28 0.6× 26 0.7× 17 0.5× 30 489
Masako Muraoka Japan 10 232 1.3× 74 0.9× 24 0.5× 36 0.9× 9 0.3× 37 342
Victoria L. Boyd United States 14 272 1.5× 82 1.1× 44 0.9× 63 1.6× 8 0.2× 27 488
Laxman Nallan United States 11 285 1.6× 137 1.8× 57 1.2× 43 1.1× 28 0.8× 11 544
Osamu Kurasawa Japan 12 274 1.5× 153 2.0× 45 0.9× 30 0.8× 16 0.5× 18 492
Terrance J. Magoc United States 11 167 0.9× 154 2.0× 75 1.5× 40 1.0× 22 0.6× 23 341
Damian O. Arnaiz United States 13 283 1.6× 345 4.4× 42 0.9× 36 0.9× 27 0.8× 18 617
Morris N. Teller United States 13 190 1.1× 73 0.9× 65 1.3× 71 1.8× 11 0.3× 41 452
Michael J. Brubaker United States 13 170 0.9× 148 1.9× 90 1.8× 135 3.5× 36 1.0× 28 457

Countries citing papers authored by D L Behrens

Since Specialization
Citations

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

Fields of papers citing papers by D L Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D L Behrens. 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 D L Behrens. The network helps show where D L Behrens may publish in the future.

Co-authorship network of co-authors of D L Behrens

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

All Works

10 of 10 papers shown
1.
Kariv, Ilona, et al.. (1999). High Throughput Quantitation of cAMP Production Mediated by Activation of Seven Transmembrane Domain Receptors. SLAS DISCOVERY. 4(1). 27–32. 34 indexed citations
2.
Behrens, D L, et al.. (1996). Comparison of Cyclosporin A Absorption from LCT and MCT Solutions following Intrajejunal Administration in Conscious Dogs. Journal of Pharmaceutical Sciences. 85(6). 666–668. 27 indexed citations
3.
Perrella, Frank W., Shih-Fong Chen, D L Behrens, Robert F. Kaltenbach, & Steven P. Seitz. (1994). Phospholipase C Inhibitors: A New Class of Agents. Journal of Medicinal Chemistry. 37(14). 2232–2237. 54 indexed citations
4.
Behrens, Carl H., et al.. (1994). (R,R)-2,2'-[1,2-ethanediylbis[imino(1-methyl-2,1-ethanediyl)]]- bis[5-nitro-1H-benz[de]isoquinoline-1,3-(2H)-dione] dimethanesulfonate (DMP 840), a novel bis-naphthalimide with potent nonselective tumoricidal activity in vitro.. PubMed. 54(8). 2199–206. 42 indexed citations
5.
Chen, Shih-Fong, et al.. (1992). Inhibition of dihydroorotate dehydrogenase activity by brequinar sodium.. PubMed. 52(13). 3521–7. 68 indexed citations
6.
Bodoky, A, et al.. (1988). Absorption of protein in the early postoperative period in chronic conscious dogs. Cellular and Molecular Life Sciences. 44(2). 158–161. 1 indexed citations
8.
Gross, JL, D L Behrens, Deborra Mullins, Paul L. Kornblith, & Daniel L. Dexter. (1988). Plasminogen activator and inhibitor activity in human glioma cells and modulation by sodium butyrate.. PubMed. 48(2). 291–6. 81 indexed citations
9.
Heberer, M., A Bodoky, Joanna Gale, et al.. (1985). Development of a chronic canine model for measurement of absorption by substrate appearance in portal venous blood. Zeitschrift für Ernährungswissenschaft. 24(3). 197–213. 4 indexed citations
10.
Behrens, D L, et al.. (1963). [The effects of sulfonylurea derivatives in persons with normal metabolism, diabetics and liver disease patients].. PubMed. 18. 1009–14. 2 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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