Deborah J. Cerino

1.6k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Deborah J. Cerino is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology. According to data from OpenAlex, Deborah J. Cerino has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Deborah J. Cerino's work include Neuropeptides and Animal Physiology (7 papers), Peptidase Inhibition and Analysis (3 papers) and Receptor Mechanisms and Signaling (3 papers). Deborah J. Cerino is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Peptidase Inhibition and Analysis (3 papers) and Receptor Mechanisms and Signaling (3 papers). Deborah J. Cerino collaborates with scholars based in United States. Deborah J. Cerino's co-authors include Paul J. Kling, Victor J. Lotti, Raymond S.L. Chang, Daniel F. Veber, J. HIRSHFIELD, James P. Springer, B. Evans, Paul Anderson, Kenneth E. Rittle and Roger Freidinger and has published in prestigious journals such as Journal of Medicinal Chemistry, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Deborah J. Cerino

8 papers receiving 1.3k citations

Hit Papers

Methods for drug discovery: development of potent, select... 1988 2026 2000 2013 1988 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah J. Cerino United States 7 808 687 239 185 161 8 1.3k
Paul J. Kling United States 13 833 1.0× 751 1.1× 277 1.2× 217 1.2× 164 1.0× 19 1.5k
G. F. Lundell United States 13 983 1.2× 767 1.1× 184 0.8× 200 1.1× 171 1.1× 22 1.6k
Willie L. Whitter United States 13 1.0k 1.3× 1.1k 1.6× 528 2.2× 228 1.2× 197 1.2× 19 2.0k
Jordi Rodrigo France 16 375 0.5× 783 1.1× 204 0.9× 113 0.6× 374 2.3× 29 1.2k
Bharat K. Trivedi United States 23 634 0.8× 566 0.8× 111 0.5× 119 0.6× 79 0.5× 51 1.4k
Serge Halazy France 20 739 0.9× 681 1.0× 224 0.9× 49 0.3× 64 0.4× 70 1.4k
Kenneth E. Rittle United States 20 1.3k 1.7× 1.3k 1.9× 585 2.4× 278 1.5× 255 1.6× 38 2.5k
Vittorio Dal Piaz Italy 22 743 0.9× 675 1.0× 94 0.4× 171 0.9× 78 0.5× 79 1.3k
Demetris P. Papahatjis Greece 21 820 1.0× 705 1.0× 294 1.2× 533 2.9× 53 0.3× 40 1.5k
Elizabeth T. Birzin United States 21 503 0.6× 379 0.6× 67 0.3× 125 0.7× 174 1.1× 42 1.2k

Countries citing papers authored by Deborah J. Cerino

Since Specialization
Citations

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

Fields of papers citing papers by Deborah J. Cerino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah J. Cerino

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

All Works

8 of 8 papers shown
1.
Evans, B., Kenneth E. Rittle, Mark G. Bock, et al.. (1988). Methods for drug discovery: development of potent, selective, orally effective cholecystokinin antagonists. Journal of Medicinal Chemistry. 31(12). 2235–2246. 1177 indexed citations breakdown →
2.
Evans, B., Kenneth E. Rittle, Mark G. Bock, et al.. (1987). ChemInform Abstract: Design of Nonpeptidal Ligands for a Peptide Receptor: Cholecystokinin Antagonists.. ChemInform. 18(50). 3 indexed citations
4.
Lotti, Victor J., Deborah J. Cerino, Paul J. Kling, & Raymond S.L. Chang. (1986). A new simple mouse model for the in vivo evaluation of cholecystokinin (CCK) antagonists: Comparative potencies and durations of action of nonpeptide antagonists. Life Sciences. 39(18). 1631–1638. 28 indexed citations
5.
Lotti, Victor J., Raymond S.L. Chang, Deborah J. Cerino, et al.. (1986). Thyrotropin-releasing hormone receptors in gut tissues resemble pituitary receptors. Neuroscience Letters. 64(2). 173–176. 11 indexed citations
6.
Chang, Raymond S.L., Victor J. Lotti, Tsing‐Bau Chen, Deborah J. Cerino, & Paul J. Kling. (1985). Neuropeptide Y (NPY) binding sites in rat brain labeled with 125I-Bolton-Hunter NPY: Comparative potencies of various polypeptides on brain NPY binding and biological responses in the rat vas deferens. Life Sciences. 37(22). 2111–2122. 104 indexed citations
7.
Lotti, Victor J., Paul J. Kling, & Deborah J. Cerino. (1982). High and low (Gpp(NH)p-sensitive) affinity sites for β2-adrenergic blockers as antagonists of isoproterenol in the field-stimulated rat vas deferens. European Journal of Pharmacology. 84(3-4). 161–167. 7 indexed citations
8.
Lotti, Victor J., Deborah J. Cerino, & Paul J. Kling. (1982). CHARACTERIZATION OF THE ADRENORECEPTOR ACTIVITIES OF ISOPRENALINE IN THE FIELD STIMULATED RAT VAS DEFERENS: SELECTIVE SUPERSENSITIVITY TO β2‐MEDIATED RESPONSES FOLLOWING RESERPINE TREATMENT. Journal of Autonomic Pharmacology. 2(3). 169–174. 6 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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