Tod E. Kippin

7.4k total citations · 1 hit paper
122 papers, 5.8k citations indexed

About

Tod E. Kippin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Tod E. Kippin has authored 122 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 56 papers in Cellular and Molecular Neuroscience and 23 papers in Social Psychology. Recurrent topics in Tod E. Kippin's work include Neurotransmitter Receptor Influence on Behavior (42 papers), Neuroscience and Neuropharmacology Research (33 papers) and Advanced biosensing and bioanalysis techniques (26 papers). Tod E. Kippin is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (42 papers), Neuroscience and Neuropharmacology Research (33 papers) and Advanced biosensing and bioanalysis techniques (26 papers). Tod E. Kippin collaborates with scholars based in United States, Canada and Australia. Tod E. Kippin's co-authors include James G. Pfaus, Kevin W. Plaxco, Kyle L. Ploense, Netzahualcóyotl Arroyo‐Currás, Derek van der Kooy, Karen K. Szumlinski, David J. Martens, Kerry A. Kerstetter, Philip A. Vieira and Julian Gerson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Tod E. Kippin

113 papers receiving 5.7k citations

Hit Papers

Real-time measurement of small molecules directly in awak... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tod E. Kippin United States 40 2.8k 1.7k 1.1k 961 787 122 5.8k
Donita L. Robinson United States 36 1.7k 0.6× 4.0k 2.3× 683 0.6× 147 0.2× 616 0.8× 88 6.3k
Nigel T. Maidment United States 56 3.1k 1.1× 5.3k 3.0× 699 0.7× 204 0.2× 408 0.5× 146 8.9k
Margaret E. Rice United States 55 3.2k 1.1× 4.6k 2.7× 218 0.2× 200 0.2× 991 1.3× 123 9.3k
Charles D. Blaha United States 53 2.4k 0.9× 5.3k 3.1× 648 0.6× 164 0.2× 661 0.8× 165 7.7k
Marianne Fillenz United Kingdom 50 1.7k 0.6× 3.1k 1.8× 227 0.2× 158 0.2× 797 1.0× 149 5.3k
Hongyan Yang United States 29 2.2k 0.8× 2.6k 1.5× 312 0.3× 467 0.5× 478 0.6× 42 4.2k
Raymond Cespuglio France 44 807 0.3× 2.0k 1.2× 272 0.3× 147 0.2× 864 1.1× 186 5.7k
Jean‐François Pujol France 40 1.8k 0.7× 3.3k 1.9× 419 0.4× 80 0.1× 498 0.6× 125 5.5k
François Gonon France 46 2.9k 1.0× 5.9k 3.4× 310 0.3× 123 0.1× 1.0k 1.3× 130 8.6k
Yulong Li China 51 4.3k 1.5× 3.5k 2.0× 406 0.4× 371 0.4× 216 0.3× 302 9.3k

Countries citing papers authored by Tod E. Kippin

Since Specialization
Citations

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

Fields of papers citing papers by Tod E. Kippin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tod E. Kippin. 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 Tod E. Kippin. The network helps show where Tod E. Kippin may publish in the future.

Co-authorship network of co-authors of Tod E. Kippin

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

All Works

20 of 20 papers shown
1.
Pham, Jean, et al.. (2025). On the Blood Components Contributing to the Drift of Electrochemical Aptamer-Based Biosensors. ACS Sensors. 10(7). 5160–5165.
4.
5.
Chung, Julia, Charlotte Flatebo, Kaylyn K. Leung, et al.. (2024). Effects of storage conditions on the performance of an electrochemical aptamer-based sensor. Sensors & Diagnostics. 3(6). 1044–1050. 11 indexed citations
6.
Uzawa, Takanori, et al.. (2023). Survey of oligoethylene glycol-based self-assembled monolayers on electrochemical aptamer-based sensor in biological fluids. Biochemical and Biophysical Research Communications. 668. 1–7. 3 indexed citations
8.
Stocker, Sophie L., et al.. (2023). Using seconds‐resolved pharmacokinetic datasets to assess pharmacokinetic models encompassing time‐varying physiology. British Journal of Clinical Pharmacology. 89(9). 2798–2812. 3 indexed citations
9.
Gerson, Julian, Philippe Dauphin‐Ducharme, Kaylyn K. Leung, et al.. (2023). High-precision monitoring of and feedback control over drug concentrations in the brains of freely moving rats. Science Advances. 9(20). eadg3254–eadg3254. 27 indexed citations
10.
Li, Shaoguang, Jun Dai, Man Zhu, et al.. (2023). Implantable Hydrogel-Protective DNA Aptamer-Based Sensor Supports Accurate, Continuous Electrochemical Analysis of Drugs at Multiple Sites in Living Rats. ACS Nano. 17(18). 18525–18538. 66 indexed citations
11.
Chamorro-García, Alejandro, Julian Gerson, Charlotte Flatebo, et al.. (2022). Real-Time, Seconds-Resolved Measurements of Plasma Methotrexate In Situ in the Living Body. ACS Sensors. 8(1). 150–157. 36 indexed citations
12.
Wu, Yuyang, Simona Ranallo, Erica Del Grosso, et al.. (2022). Using Spectroscopy to Guide the Adaptation of Aptamers into Electrochemical Aptamer-Based Sensors. Bioconjugate Chemistry. 34(1). 124–132. 22 indexed citations
13.
Wroten, Melissa G., et al.. (2022). The incubation of cocaine craving is dissociated from changes in glial cell markers within prefrontal cortex and nucleus accumbens of rats. SHILAP Revista de lepidopterología. 3. 100030–100030. 1 indexed citations
14.
Idili, Andrea, Julian Gerson, Tod E. Kippin, & Kevin W. Plaxco. (2021). Seconds-Resolved, In Situ Measurements of Plasma Phenylalanine Disposition Kinetics in Living Rats. Analytical Chemistry. 93(8). 4023–4032. 54 indexed citations
15.
Idili, Andrea, Netzahualcóyotl Arroyo‐Currás, Kyle L. Ploense, et al.. (2019). Seconds-resolved pharmacokinetic measurements of the chemotherapeutic irinotecan in situ in the living body. Chemical Science. 10(35). 8164–8170. 91 indexed citations
16.
Campbell, Rianne R., Racquel Domingo-Gonzalez, Melissa G. Wroten, et al.. (2019). Increased Alcohol-Drinking Induced by Manipulations of mGlu5 Phosphorylation within the Bed Nucleus of the Stria Terminalis. Journal of Neuroscience. 39(14). 2745–2761. 23 indexed citations
17.
Miller, Bailey W., Melissa G. Wroten, Christina Shin, et al.. (2016). Cocaine craving during protracted withdrawal requires PKCε priming within vmPFC. Addiction Biology. 22(3). 629–639. 19 indexed citations
18.
Szumlinski, Karen K., Kevin D. Lominac, Rianne R. Campbell, et al.. (2016). Methamphetamine Addiction Vulnerability: The Glutamate, the Bad, and the Ugly. Biological Psychiatry. 81(11). 959–970. 59 indexed citations
19.
Dudley, Kevin J., et al.. (2011). Epigenetic mechanisms mediating vulnerability and resilience to psychiatric disorders. Neuroscience & Biobehavioral Reviews. 35(7). 1544–1551. 132 indexed citations
20.
Kippin, Tod E., et al.. (1998). Noncontingent Drug Exposure Facilitates the Development of Contingent Tolerance to the Anticonvulsant Effects of Ethanol and Diazepam in Kindled Rats. Pharmacology Biochemistry and Behavior. 61(1). 143–148. 5 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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