Carla H. Lagorio

854 total citations
8 papers, 678 citations indexed

About

Carla H. Lagorio is a scholar working on Developmental and Educational Psychology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Carla H. Lagorio has authored 8 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental and Educational Psychology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Carla H. Lagorio's work include Behavioral and Psychological Studies (4 papers), Decision-Making and Behavioral Economics (2 papers) and Receptor Mechanisms and Signaling (2 papers). Carla H. Lagorio is often cited by papers focused on Behavioral and Psychological Studies (4 papers), Decision-Making and Behavioral Economics (2 papers) and Receptor Mechanisms and Signaling (2 papers). Carla H. Lagorio collaborates with scholars based in United States. Carla H. Lagorio's co-authors include Gregory J. Madden, Andrea M. Begotka, Bethany R. Raiff, Timothy D. Hackenberg, Eric E. Ewan, Devki Sukhtankar, Mei‐Chuan Ko and Gail Winger and has published in prestigious journals such as The FASEB Journal, Psychopharmacology and European Journal of Pharmacology.

In The Last Decade

Carla H. Lagorio

7 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carla H. Lagorio United States	7	369	269	166	138	111	8	678
Benjamin P. Kowal United States	9	245 0.7×	231 0.9×	265 1.6×	178 1.3×	125 1.1×	19	721
Forest Baker United States	8	487 1.3×	388 1.4×	170 1.0×	236 1.7×	151 1.4×	9	920
Cynthia J. Pietras United States	14	145 0.4×	153 0.6×	195 1.2×	129 0.9×	208 1.9×	31	744
Lana Vedelago Canada	9	220 0.6×	265 1.0×	191 1.2×	247 1.8×	240 2.2×	14	797
Deidre L. Reis United States	5	145 0.4×	124 0.5×	272 1.6×	317 2.3×	242 2.2×	5	733
Adam Derenne United States	13	197 0.5×	98 0.4×	95 0.6×	51 0.4×	81 0.7×	43	459
C. Renee Renda United States	11	84 0.2×	105 0.4×	183 1.1×	140 1.0×	164 1.5×	13	798
Emma Marsden United Kingdom	4	83 0.2×	83 0.3×	110 0.7×	120 0.9×	90 0.8×	4	428
Jeffrey M. Rudski United States	15	71 0.2×	57 0.2×	103 0.6×	48 0.3×	53 0.5×	34	532
Neeltje E. Blankenstein Netherlands	13	112 0.3×	96 0.4×	227 1.4×	167 1.2×	192 1.7×	21	554

Countries citing papers authored by Carla H. Lagorio

Since Specialization

Citations

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

Fields of papers citing papers by Carla H. Lagorio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla H. Lagorio. 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 Carla H. Lagorio. The network helps show where Carla H. Lagorio may publish in the future.

Co-authorship network of co-authors of Carla H. Lagorio

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

All Works

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8 of 8 papers shown

Sukhtankar, Devki, Carla H. Lagorio, & Mei‐Chuan Ko. (2014). Effects of the NOP agonist SCH221510 on producing and attenuating reinforcing effects as measured by drug self-administration in rats. European Journal of Pharmacology. 745. 182–189. 28 indexed citations

Lagorio, Carla H. & Gail Winger. (2014). Random-ratio schedules produce greater demand for i.v. drug administration than fixed-ratio schedules in rhesus monkeys. Psychopharmacology. 231(15). 2981–2988. 14 indexed citations

Sukhtankar, Devki, Carla H. Lagorio, & Mei‐Chuan Ko. (2013). Examining the reinforcing properties of NOP receptor agonist SCH221510 and its role in attenuating mu‐receptor mediated reinforcement in a rat self‐administration assay. The FASEB Journal. 27(S1).

Lagorio, Carla H. & Timothy D. Hackenberg. (2012). RISKY CHOICE IN PIGEONS: PREFERENCE FOR AMOUNT VARIABILITY USING A TOKEN‐REINFORCEMENT SYSTEM. Journal of the Experimental Analysis of Behavior. 98(2). 139–154. 17 indexed citations

Lagorio, Carla H. & Timothy D. Hackenberg. (2010). RISKY CHOICE IN PIGEONS AND HUMANS: A CROSS‐SPECIES COMPARISON. Journal of the Experimental Analysis of Behavior. 93(1). 27–44. 23 indexed citations

Madden, Gregory J., Eric E. Ewan, & Carla H. Lagorio. (2006). Toward an Animal Model of Gambling: Delay Discounting and the Allure of Unpredictable Outcomes. Journal of Gambling Studies. 23(1). 63–83. 53 indexed citations

Lagorio, Carla H. & Gregory J. Madden. (2005). Delay discounting of real and hypothetical rewards III: Steady-state assessments, forced-choice trials, and all real rewards. Behavioural Processes. 69(2). 173–187. 289 indexed citations

Madden, Gregory J., et al.. (2004). Delay Discounting of Potentially Real and Hypothetical Rewards: II. Between- and Within-Subject Comparisons.. Experimental and Clinical Psychopharmacology. 12(4). 251–261. 254 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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