David J. Shiling

486 total citations
9 papers, 393 citations indexed

About

David J. Shiling is a scholar working on Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David J. Shiling has authored 9 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David J. Shiling's work include Nitric Oxide and Endothelin Effects (2 papers), Participatory Visual Research Methods (2 papers) and Cannabis and Cannabinoid Research (2 papers). David J. Shiling is often cited by papers focused on Nitric Oxide and Endothelin Effects (2 papers), Participatory Visual Research Methods (2 papers) and Cannabis and Cannabinoid Research (2 papers). David J. Shiling collaborates with scholars based in United States, Malaysia and South Korea. David J. Shiling's co-authors include Claudia A. Seipp, Steven A. Rosenberg, Alfred E. Chang, R. C. Stillman, Nelson H. Goldberg, Ivan Barofsky, Richard Simon, Steven Lipper, Daniel R. Weinberger and Richard Jed Wyatt and has published in prestigious journals such as Annals of Internal Medicine, Cancer and The British Journal of Psychiatry.

In The Last Decade

David J. Shiling

9 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Shiling United States 6 193 99 83 77 72 9 393
C Larousse France 11 108 0.6× 31 0.3× 37 0.4× 58 0.8× 178 2.5× 56 549
Paul Bellman United States 4 371 1.9× 38 0.4× 60 0.7× 36 0.5× 122 1.7× 5 552
U Wurster Germany 6 311 1.6× 17 0.2× 28 0.3× 67 0.9× 229 3.2× 10 491
C. B. Kristensen Denmark 12 151 0.8× 29 0.3× 35 0.4× 94 1.2× 44 0.6× 16 332
Jocelyne Chabert Switzerland 10 111 0.6× 35 0.4× 58 0.7× 94 1.2× 29 0.4× 13 500
Kristen Focht United States 9 229 1.2× 50 0.5× 36 0.4× 112 1.5× 41 0.6× 11 484
Ayd Fj United States 12 108 0.6× 23 0.2× 55 0.7× 204 2.6× 59 0.8× 50 409
Yoshitsugu Yanagihara Japan 8 201 1.0× 27 0.3× 32 0.4× 36 0.5× 41 0.6× 15 415
P R Puopolo United States 9 89 0.5× 13 0.1× 55 0.7× 254 3.3× 76 1.1× 9 451
H. Mikkelsen Switzerland 11 90 0.5× 40 0.4× 14 0.2× 111 1.4× 45 0.6× 15 389

Countries citing papers authored by David J. Shiling

Since Specialization
Citations

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

Fields of papers citing papers by David J. Shiling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Shiling. 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 J. Shiling. The network helps show where David J. Shiling may publish in the future.

Co-authorship network of co-authors of David J. Shiling

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

All Works

9 of 9 papers shown
1.
Kleinman, Joel E., Daniel R. Weinberger, Alan D. Rogol, et al.. (1982). Naloxone in chronic schizophrenic patients: Neuroendocrine and behavioral effects. Psychiatry Research. 7(1). 1–7. 16 indexed citations
2.
Shiling, David J., R. C. Stillman, Alfred E. Chang, et al.. (1981). A prospective evaluation of delta-9-tetrahydrocannabinol as an antiemetic in patients receiving adriamycin and cytoxan chemotherapy. Cancer. 47(7). 1746–1751. 73 indexed citations
3.
Gutheil, Thomas G., et al.. (1981). Patient viewing of videotaped psychotherapy. Psychiatric Quarterly. 53(4). 219–226. 2 indexed citations
4.
DeLisi, Lynn E., Daniel R. Weinberger, Steven G. Potkin, et al.. (1981). Quantitative Determination of Immunoglobulins in CSF and Plasma of Chronic Schizophrenic Patients. The British Journal of Psychiatry. 139(6). 513–518. 47 indexed citations
5.
Gutheil, Thomas G., et al.. (1981). Patient viewing of videotaped psychotherapy. Psychiatric Quarterly. 53(4). 227–234. 3 indexed citations
6.
Seipp, Claudia A., Alfred E. Chang, David J. Shiling, & Steven A. Rosenberg. (1980). In search of an effective antiemetic. Cancer Nursing. 3(4). 271–271. 5 indexed citations
7.
Chang, Alfred E., David J. Shiling, R. C. Stillman, et al.. (1979). Delta-9-Tetrahydrocannabinol as an Antiemetic in Cancer Patients Receiving High-Dose Methotrexate. Annals of Internal Medicine. 91(6). 819–824. 204 indexed citations
8.
Murphy, Dennis L., Steven Lipper, Stanley Slater, & David J. Shiling. (1979). Selectivity of clorgyline and pargyline as inhibitors of monoamine oxidases A and B in vivo in man. Psychopharmacology. 62(2). 129–132. 36 indexed citations
9.
Campbell, Iain C., David J. Shiling, Steven Lipper, Stanley Slater, & Dennis L. Murphy. (1979). A biochemical measure of monoamine oxidase type A and B inhibitor effects in man. Journal of Psychiatric Research. 15(2). 77–84. 7 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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