Mark T. Harnett

3.2k total citations · 1 hit paper
16 papers, 2.0k citations indexed

About

Mark T. Harnett is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Mark T. Harnett has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Mark T. Harnett's work include Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neuroscience and Neural Engineering (5 papers). Mark T. Harnett is often cited by papers focused on Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neuroscience and Neural Engineering (5 papers). Mark T. Harnett collaborates with scholars based in United States, Australia and Switzerland. Mark T. Harnett's co-authors include Jeffrey C. Magee, Stephen R. Williams, Ning-long Xu, Daniel Huber, Daniel H. O’Connor, Karel Svoboda, Sabine L. Renninger, Samuel Andrew Hires, Andrew Gordus and Loren L. Looger and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Mark T. Harnett

16 papers receiving 2.0k 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.

An optimized fluorescent probe for visualizing glutamate neurotransmission

2013 680 citations Jonathan S. Marvin, Bart G. Borghuis et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark T. Harnett United States	13	1.4k	1.0k	598	174	170	16	2.0k
Joseph Cichon United States	12	1.3k 0.9×	904 0.9×	586 1.0×	98 0.6×	196 1.2×	16	2.3k
Tommaso Patriarchi United States	27	1.7k 1.3×	736 0.7×	1.4k 2.4×	132 0.8×	178 1.0×	48	2.8k
Andreas Frick France	27	1.8k 1.3×	1.4k 1.4×	1.0k 1.7×	149 0.9×	79 0.5×	38	2.7k
Nathalie L. Rochefort Germany	24	1.6k 1.2×	1.5k 1.5×	510 0.9×	142 0.8×	209 1.2×	33	2.4k
Alison L. Barth United States	30	2.6k 1.9×	1.9k 1.9×	1.1k 1.9×	234 1.3×	177 1.0×	70	3.7k
Yury Kovalchuk Germany	19	2.2k 1.6×	874 0.9×	1.0k 1.7×	90 0.5×	96 0.6×	26	2.8k
J. Simon Wiegert Germany	26	1.7k 1.2×	847 0.8×	770 1.3×	104 0.6×	157 0.9×	48	2.3k
Jennifer N. Bourne United States	20	1.8k 1.4×	784 0.8×	959 1.6×	143 0.8×	166 1.0×	31	2.8k
Knut Holthoff Germany	22	1.9k 1.4×	1.1k 1.1×	837 1.4×	175 1.0×	345 2.0×	46	2.7k
Sho Yagishita Japan	16	1.1k 0.8×	804 0.8×	500 0.8×	117 0.7×	62 0.4×	34	1.7k

Countries citing papers authored by Mark T. Harnett

Since Specialization

Citations

This map shows the geographic impact of Mark T. Harnett'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 Mark T. Harnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Harnett more than expected).

Fields of papers citing papers by Mark T. Harnett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Harnett. 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 Mark T. Harnett. The network helps show where Mark T. Harnett may publish in the future.

Co-authorship network of co-authors of Mark T. Harnett

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

All Works

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16 of 16 papers shown

Voigts, Jakob, Ingmar Kanitscheider, Nicholas J. Miller, et al.. (2025). Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex. Nature Neuroscience. 28(6). 1293–1299. 1 indexed citations

Zhang, Qinrong, et al.. (2024). A dendritic mechanism for balancing synaptic flexibility and stability. Cell Reports. 43(8). 114638–114638. 3 indexed citations

Lafourcade, Mathieu, et al.. (2022). Differential dendritic integration of long-range inputs in association cortex via subcellular changes in synaptic AMPA-to-NMDA receptor ratio. Neuron. 110(9). 1532–1546.e4. 23 indexed citations

Newman, Jonathan P., et al.. (2020). Twister3: a simple and fast microwire twister. Journal of Neural Engineering. 17(2). 26040–26040. 5 indexed citations

Voigts, Jakob, Jonathan P. Newman, Matthew Wilson, & Mark T. Harnett. (2020). An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals. Journal of Neural Engineering. 17(2). 26044–26044. 36 indexed citations

Beaulieu-Laroche, Lou, et al.. (2019). Widespread and Highly Correlated Somato-dendritic Activity in Cortical Layer 5 Neurons. Neuron. 103(2). 235–241.e4. 57 indexed citations

Voigts, Jakob & Mark T. Harnett. (2019). Somatic and Dendritic Encoding of Spatial Variables in Retrosplenial Cortex Differs during 2D Navigation. Neuron. 105(2). 237–245.e4. 46 indexed citations

Beaulieu-Laroche, Lou & Mark T. Harnett. (2017). Dendritic Spines Prevent Synaptic Voltage Clamp. Neuron. 97(1). 75–82.e3. 58 indexed citations

Yim, Yeong Shin, Ashley Park, Janet Berrios, et al.. (2017). Reversing behavioural abnormalities in mice exposed to maternal inflammation. Nature. 549(7673). 482–487. 224 indexed citations

10.

Harnett, Mark T., Jeffrey C. Magee, & Stephen R. Williams. (2015). Distribution and Function of HCN Channels in the Apical Dendritic Tuft of Neocortical Pyramidal Neurons. Journal of Neuroscience. 35(3). 1024–1037. 94 indexed citations

11.

Harnett, Mark T., Ning-long Xu, Jeffrey C. Magee, & Stephen R. Williams. (2013). Potassium Channels Control the Interaction between Active Dendritic Integration Compartments in Layer 5 Cortical Pyramidal Neurons. Neuron. 79(3). 516–529. 106 indexed citations

12.

Marvin, Jonathan S., Bart G. Borghuis, Lin Tian, et al.. (2013). An optimized fluorescent probe for visualizing glutamate neurotransmission. Nature Methods. 10(2). 162–170. 680 indexed citations breakdown →

13.

Harnett, Mark T., Judit K. Makara, Nelson Spruston, William L. Kath, & Jeffrey C. Magee. (2012). Synaptic amplification by dendritic spines enhances input cooperativity. Nature. 491(7425). 599–602. 204 indexed citations

14.

Xu, Ning-long, Mark T. Harnett, Stephen R. Williams, et al.. (2012). Nonlinear dendritic integration of sensory and motor input during an active sensing task. Nature. 492(7428). 247–251. 357 indexed citations

15.

Bernier, Brian E., et al.. (2010). IP₃Receptor Sensitization duringIn VivoAmphetamine Experience Enhances NMDA Receptor Plasticity in Dopamine Neurons of the Ventral Tegmental Area. Journal of Neuroscience. 30(19). 6689–6699. 35 indexed citations

16.

Harnett, Mark T., et al.. (2009). Burst-Timing-Dependent Plasticity of NMDA Receptor-Mediated Transmission in Midbrain Dopamine Neurons. Neuron. 62(6). 826–838. 81 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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