Matthew Gardner

2.4k total citations
50 papers, 1.5k citations indexed

About

Matthew Gardner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Matthew Gardner has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 9 papers in Surgery. Recurrent topics in Matthew Gardner's work include Memory and Neural Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neural dynamics and brain function (16 papers). Matthew Gardner is often cited by papers focused on Memory and Neural Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neural dynamics and brain function (16 papers). Matthew Gardner collaborates with scholars based in United States, Canada and United Kingdom. Matthew Gardner's co-authors include Geoffrey Schoenbaum, Alfredo Fontanini, Chad L. Samuelsen, Frank I. Tarazi, Alexander C.M. Chong, Paul H. Wooley, Jingfeng Zhou, Samuel J. Gershman, Yong Kee Choi and Haleh Sangi‐Haghpeykar and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Matthew Gardner

47 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Gardner United States	24	709	465	255	197	183	50	1.5k
Ping Taishi United States	31	1.4k 2.0×	360 0.8×	54 0.2×	225 1.1×	71 0.4×	58	2.7k
Biao Chen China	14	313 0.4×	732 1.6×	94 0.4×	255 1.3×	49 0.3×	60	1.7k
Eleonora Del Prete Italy	21	92 0.1×	386 0.8×	170 0.7×	195 1.0×	33 0.2×	65	1.4k
James Walter United States	15	277 0.4×	172 0.4×	77 0.3×	178 0.9×	34 0.2×	37	1.1k
Vidyulata Kamath United States	22	303 0.4×	114 0.2×	224 0.9×	100 0.5×	901 4.9×	88	2.0k
Yan Rao United States	13	330 0.5×	276 0.6×	34 0.1×	313 1.6×	24 0.1×	18	1.2k
Xiaohong Li China	13	685 1.0×	170 0.4×	23 0.1×	298 1.5×	12 0.1×	21	1.3k
Linda F. Adams United States	12	291 0.4×	115 0.2×	43 0.2×	210 1.1×	24 0.1×	15	1.8k
Wendy Hasenkamp United States	17	814 1.1×	140 0.3×	879 3.4×	492 2.5×	13 0.1×	28	2.3k
Ulrike Weber‐Stadlbauer Switzerland	23	135 0.2×	217 0.5×	45 0.2×	337 1.7×	12 0.1×	48	1.6k

Countries citing papers authored by Matthew Gardner

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Gardner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Gardner. 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 Matthew Gardner. The network helps show where Matthew Gardner may publish in the future.

Co-authorship network of co-authors of Matthew Gardner

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Gardner. A scholar is included among the top collaborators of Matthew Gardner 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 Matthew Gardner. Matthew Gardner 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

Schoenbaum, Geoffrey, et al.. (2025). Disentangling prediction error and value in a formal test of dopamine’s role in reinforcement learning. Current Biology. 35(16). 4019–4027.e7.

Baker, Jeffrey R., et al.. (2025). The use of a curved internal fixation device in adult pelvic Fractures: Short-Term clinical outcomes in high and low energy fractures. Journal of Clinical Orthopaedics and Trauma. 67. 103035–103035.

Thuppal, Sowmyanarayanan, et al.. (2023). Metabolic abnormalities underlying nonunion in the adult fracture patient. SHILAP Revista de lepidopterología. 31(1). 48–54.

Costa, Kauê Machado, Robert Scholz, Kevin Lloyd, et al.. (2022). The role of the lateral orbitofrontal cortex in creating cognitive maps. Nature Neuroscience. 26(1). 107–115. 35 indexed citations

Hart, Evan E., Matthew Gardner, Marios C. Panayi, Thorsten Kahnt, & Geoffrey Schoenbaum. (2022). Calcium activity is a degraded estimate of spikes. Current Biology. 32(24). 5364–5373.e4. 6 indexed citations

Gardner, Matthew & Geoffrey Schoenbaum. (2021). The orbitofrontal cartographer.. Behavioral Neuroscience. 135(2). 267–276. 26 indexed citations

Hart, Evan E., Matthew Gardner, & Geoffrey Schoenbaum. (2021). Anterior cingulate neurons signal neutral cue pairings during sensory preconditioning. Current Biology. 32(3). 725–732.e3. 7 indexed citations

Zhou, Jingfeng, et al.. (2021). Prospective representations in rat orbitofrontal ensembles.. Behavioral Neuroscience. 135(4). 518–527. 5 indexed citations

Sharpe, Melissa J., et al.. (2020). Causal evidence supporting the proposal that dopamine transients function as temporal difference prediction errors. Nature Neuroscience. 23(2). 176–178. 52 indexed citations

10.

Gardner, Matthew, et al.. (2020). Processing in Lateral Orbitofrontal Cortex Is Required to Estimate Subjective Preference during Initial, but Not Established, Economic Choice. Neuron. 108(3). 526–537.e4. 19 indexed citations

11.

Zhou, Jingfeng, et al.. (2019). Complementary Task Structure Representations in Hippocampus and Orbitofrontal Cortex during an Odor Sequence Task. Current Biology. 29(20). 3402–3409.e3. 41 indexed citations

12.

Nygaard, Tobias, Daniel E. Prince, Matthew Gardner, et al.. (2019). Plate-assisted Bone Segment Transport With Motorized Lengthening Nails and Locking Plates: A Technique to Treat Femoral and Tibial Bone Defects. JAAOS Global Research and Reviews. 3(8). e064–e064. 39 indexed citations

13.

Zhou, Jingfeng, Matthew Gardner, Thomas A. Stalnaker, et al.. (2019). Rat Orbitofrontal Ensemble Activity Contains Multiplexed but Dissociable Representations of Value and Task Structure in an Odor Sequence Task. Current Biology. 29(6). 897–907.e3. 51 indexed citations

14.

Gardner, Matthew, et al.. (2018). Novel Surgical Approach to Segmental Bone Transport Using a Magnetic Intramedullary Limb Lengthening System. Journal of the American Academy of Orthopaedic Surgeons. 26(22). e477–e482. 29 indexed citations

15.

Gardner, Matthew & Alfredo Fontanini. (2014). Encoding and Tracking of Outcome-Specific Expectancy in the Gustatory Cortex of Alert Rats. Journal of Neuroscience. 34(39). 13000–13017. 66 indexed citations

16.

Samuelsen, Chad L., Matthew Gardner, & Alfredo Fontanini. (2013). Thalamic Contribution to Cortical Processing of Taste and Expectation. Journal of Neuroscience. 33(5). 1815–1827. 51 indexed citations

17.

Samuelsen, Chad L., Matthew Gardner, & Alfredo Fontanini. (2012). Effects of Cue-Triggered Expectation on Cortical Processing of Taste. Neuron. 74(2). 410–422. 108 indexed citations

18.

Gardner, Matthew, et al.. (2010). Mechanical Evaluation of Large-Size Fourth-Generation Composite Femur and Tibia Models. Annals of Biomedical Engineering. 38(3). 613–620. 177 indexed citations

19.

Tarazi, Frank I., Yong Kee Choi, Matthew Gardner, et al.. (2009). Asenapine exerts distinctive regional effects on ionotropic glutamate receptor subtypes in rat brain. Synapse. 63(5). 413–420. 30 indexed citations

20.

Si, Yu‐Gui, Matthew Gardner, Frank I. Tarazi, Ross J. Baldessarini, & John L. Neumeyer. (2007). R-(−)-N-alkyl-11-hydroxy-10-hydroxymethyl- and 10-methyl-aporphines as 5-HT1A receptor ligands. Bioorganic & Medicinal Chemistry Letters. 17(15). 4128–4130. 10 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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