Michael L. Heien

7.8k total citations · 1 hit paper
87 papers, 6.1k citations indexed

About

Michael L. Heien is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry and Molecular Biology. According to data from OpenAlex, Michael L. Heien has authored 87 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cellular and Molecular Neuroscience, 27 papers in Electrochemistry and 21 papers in Molecular Biology. Recurrent topics in Michael L. Heien's work include Neuroscience and Neuropharmacology Research (28 papers), Electrochemical Analysis and Applications (27 papers) and Neurotransmitter Receptor Influence on Behavior (20 papers). Michael L. Heien is often cited by papers focused on Neuroscience and Neuropharmacology Research (28 papers), Electrochemical Analysis and Applications (27 papers) and Neurotransmitter Receptor Influence on Behavior (20 papers). Michael L. Heien collaborates with scholars based in United States, Sweden and South Korea. Michael L. Heien's co-authors include R. Mark Wightman, Paul E. M. Phillips, Garret D. Stuber, Regina M. Carelli, Joseph F. Cheer, Andrew G. Ewing, Donita L. Robinson, Kate M. Wassum, B. Jill Venton and Jennifer L. Ariansen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Michael L. Heien

87 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Subsecond dopamine release promotes cocaine seeking

2003 870 citations Paul E. M. Phillips, Michael L. Heien et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael L. Heien United States	37	3.5k	1.8k	1.7k	1.5k	1.0k	87	6.1k
Adrian C. Michael United States	37	2.2k 0.6×	927 0.5×	2.5k 1.5×	2.0k 1.3×	650 0.6×	87	5.2k
B. Jill Venton United States	51	3.4k 1.0×	1.9k 1.1×	4.4k 2.6×	3.2k 2.2×	564 0.5×	141	8.5k
Margaret E. Rice United States	55	4.6k 1.3×	3.2k 1.8×	991 0.6×	914 0.6×	1.2k 1.2×	123	9.3k
Anne M. Andrews United States	47	2.5k 0.7×	2.7k 1.5×	1.7k 1.0×	293 0.2×	554 0.5×	142	7.7k
François Gonon France	46	5.9k 1.7×	2.9k 1.6×	1.0k 0.6×	990 0.7×	1.9k 1.8×	130	8.6k
Donita L. Robinson United States	36	4.0k 1.2×	1.7k 1.0×	616 0.4×	472 0.3×	1.7k 1.6×	88	6.3k
Paul A. Garris United States	35	2.9k 0.8×	1.1k 0.6×	548 0.3×	647 0.4×	929 0.9×	82	3.9k
Marianne Fillenz United Kingdom	50	3.1k 0.9×	1.7k 0.9×	797 0.5×	699 0.5×	803 0.8×	149	5.3k
Raymond Cespuglio France	44	2.0k 0.6×	807 0.5×	864 0.5×	686 0.5×	1.9k 1.8×	186	5.7k
Leslie A. Sombers United States	29	1.4k 0.4×	876 0.5×	1.1k 0.6×	892 0.6×	257 0.2×	55	2.7k

Countries citing papers authored by Michael L. Heien

Since Specialization

Citations

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

Fields of papers citing papers by Michael L. Heien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Heien

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

All Works

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20 of 20 papers shown

Heien, Michael L., Kevin E. Bennet, Yoonbae Oh, et al.. (2024). Understanding the different effects of fouling mechanisms on working and reference electrodes in fast-scan cyclic voltammetry for neurotransmitter detection. The Analyst. 149(10). 3008–3016. 15 indexed citations

Bartlett, Mitchell J., Michael L. Heien, Kristian P. Doyle, et al.. (2024). The angiotensin (1–7) glycopeptide PNA5 improves cognition in a chronic progressive mouse model of Parkinson's disease through modulation of neuroinflammation. Experimental Neurology. 381. 114926–114926. 1 indexed citations

Szabó, Lajos, Fahad Al‐Obeidi, Mitchell J. Bartlett, et al.. (2023). Structure-Based Design of Glycosylated Oxytocin Analogues with Improved Selectivity and Antinociceptive Activity. ACS Medicinal Chemistry Letters. 14(2). 163–170. 5 indexed citations

Bartlett, Mitchell J., Dong Lu, Michael L. Heien, et al.. (2023). Antagonism of kappa opioid receptors accelerates the development of L-DOPA-induced dyskinesia in a preclinical model of moderate dopamine depletion. Brain Research. 1821. 148613–148613. 4 indexed citations

Oesterle, Tyler, Aaron E. Rusheen, Abhinav Goyal, et al.. (2023). Techniques for Measurement of Serotonin: Implications in Neuropsychiatric Disorders and Advances in Absolute Value Recording Methods. ACS Chemical Neuroscience. 14(24). 4264–4273. 7 indexed citations

Shin, Hojin, Charles D. Blaha, Michael L. Heien, et al.. (2022). Neurochemical Concentration Prediction Using Deep Learning vs Principal Component Regression in Fast Scan Cyclic Voltammetry: A Comparison Study. ACS Chemical Neuroscience. 13(15). 2288–2297. 15 indexed citations

Molnár, G, Mitchell J. Bartlett, Lajos Szabó, et al.. (2022). Design and Synthesis of Brain Penetrant Glycopeptide Analogues of PACAP With Neuroprotective Potential for Traumatic Brain Injury and Parkinsonism. PubMed. 1. 14 indexed citations

Shin, Hojin, Abhinav Goyal, Aaron E. Rusheen, et al.. (2021). Tonic Serotonin MeasurementsIn VivoUsing N-Shaped Multiple Cyclic Square Wave Voltammetry. Analytical Chemistry. 93(51). 16987–16994. 15 indexed citations

Heien, Michael L., et al.. (2021). Biocompatible reference electrodes to enhance chronic electrochemical signal fidelity in vivo. Analytical and Bioanalytical Chemistry. 413(27). 6689–6701. 23 indexed citations

10.

Cowen, Stephen L., et al.. (2020). Mitigating the Effects of Electrode Biofouling-Induced Impedance for Improved Long-Term Electrochemical Measurements In Vivo. Analytical Chemistry. 92(9). 6334–6340. 53 indexed citations

11.

Rusheen, Aaron E., Dong Pyo Jang, Charles D. Blaha, et al.. (2020). Evaluation of electrochemical methods for tonic dopamine detection in vivo. TrAC Trends in Analytical Chemistry. 132. 116049–116049. 52 indexed citations

12.

Hay, Meredith, Robin Polt, Michael L. Heien, et al.. (2019). A Novel Angiotensin-(1-7) Glycosylated Mas Receptor Agonist for Treating Vascular Cognitive Impairment and Inflammation-Related Memory Dysfunction. Journal of Pharmacology and Experimental Therapeutics. 369(1). 9–25. 52 indexed citations

13.

Oh, Yoonbae, Michael L. Heien, Jae‐Kyung Kim, et al.. (2018). Tracking tonic dopamine levels in vivo using multiple cyclic square wave voltammetry. Biosensors and Bioelectronics. 121. 174–182. 79 indexed citations

14.

Bartlett, Mitchell J., Kate L. Parent, Michael L. Heien, et al.. (2018). The combination of the opioid glycopeptide MMP-2200 and a NMDA receptor antagonist reduced l-DOPA-induced dyskinesia and MMP-2200 by itself reduced dopamine receptor 2-like agonist-induced dyskinesia. Neuropharmacology. 141. 260–271. 19 indexed citations

15.

Abdalla, Aya, Christopher W. Atcherley, Pavithra Pathirathna, et al.. (2017). In Vivo Ambient Serotonin Measurements at Carbon-Fiber Microelectrodes. Analytical Chemistry. 89(18). 9703–9711. 81 indexed citations

16.

Bartlett, Mitchell J., Nicholas D. Laude, Kate L. Parent, et al.. (2014). Differential effects of the NMDA receptor antagonist MK-801 on dopamine receptor D1- and D2-induced abnormal involuntary movements in a preclinical model. Neuroscience Letters. 564. 48–52. 13 indexed citations

17.

Ariansen, Jennifer L., Michael L. Heien, Andre Hermans, et al.. (2012). Monitoring extracellular pH, oxygen, and dopamine during reward delivery in the striatum of primates. Frontiers in Behavioral Neuroscience. 6. 36–36. 43 indexed citations

18.

Motala, Michael J., et al.. (2008). Textural guidance cues for controlling process outgrowth of mammalian neurons. Lab on a Chip. 9(1). 122–131. 74 indexed citations

19.

Cheer, Joseph F., Kate M. Wassum, Leslie A. Sombers, et al.. (2007). Phasic Dopamine Release Evoked by Abused Substances Requires Cannabinoid Receptor Activation. Journal of Neuroscience. 27(4). 791–795. 274 indexed citations

20.

Troyer, Kevin P., Michael L. Heien, B. Jill Venton, & R. Mark Wightman. (2002). Neurochemistry and electroanalytical probes. Current Opinion in Chemical Biology. 6(5). 696–703. 69 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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