Jeff Mercer

1.8k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Jeff Mercer is a scholar working on Cellular and Molecular Neuroscience, Neurology and Surgery. According to data from OpenAlex, Jeff Mercer has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 1 paper in Surgery. Recurrent topics in Jeff Mercer's work include Neurological disorders and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Jeff Mercer is often cited by papers focused on Neurological disorders and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Jeff Mercer collaborates with scholars based in United States, Japan and Italy. Jeff Mercer's co-authors include C. Savio Chan, D. James Surmeier, Tatiana Tkatch, Jaime N. Guzmán, Ema Ilijić, Caroline Rick, Gloria E. Meredith, Ryuichi Shigemoto, Nicolas Maurice and Salvador Hernández‐López and has published in prestigious journals such as Nature, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Jeff Mercer

8 papers receiving 1.4k 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.

‘Rejuvenation’ protects neurons in mouse models of Parkinson’s disease

2007 684 citations C. Savio Chan, Jaime N. Guzmán et al. Nature profile →

Peers

Jeff Mercer

CMN

NEURO

MB

CN

PHYSI

Pedro Barroso‐Chinea Spain

Ke‐Zhong Shen United States

Ilaria Barone Italy

Gloria J. Klapstein United States

Incarnation Aubert France

Paul Worley United States

Toshiyuki Ohtake Japan

Ana Mrejeru United States

Lisa Won United States

Pedro Barroso‐Chinea Spain

Jeff Mercer

1.1k ×1.1

CMN

587 ×0.9

NEURO

399 ×0.7

MB

328 ×1.5

CN

99 ×0.8

PHYSI

Citations per year, relative to Jeff Mercer Jeff Mercer (= 1×) peers Pedro Barroso‐Chinea

Countries citing papers authored by Jeff Mercer

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Mercer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Mercer

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Mercer, Jeff, Murray J. Penner, Kevin Wing, & Alastair Younger. (2015). Inconsistency in the Reporting of Adverse Events in Total Ankle Arthroplasty. Foot & Ankle International. 37(2). 127–136. 41 indexed citations

2.

Chan, C. Savio, Kelly E. Glajch, Tracy S. Gertler, et al.. (2010). HCN channelopathy in external globus pallidus neurons in models of Parkinson's disease. Nature Neuroscience. 14(1). 85–92. 143 indexed citations

3.

Chan, C. Savio, Jaime N. Guzmán, Ema Ilijić, et al.. (2007). ‘Rejuvenation’ protects neurons in mouse models of Parkinson’s disease. Nature. 447(7148). 1081–1086. 684 indexed citations breakdown →

4.

Mercer, Jeff, et al.. (2007). Nav1.6 Sodium Channels Are Critical to Pacemaking and Fast Spiking in Globus Pallidus Neurons. Journal of Neuroscience. 27(49). 13552–13566. 91 indexed citations

5.

Surmeier, D. James, Jeff Mercer, & C. Savio Chan. (2005). Autonomous pacemakers in the basal ganglia: who needs excitatory synapses anyway?. Current Opinion in Neurobiology. 15(3). 312–318. 99 indexed citations

6.

Maurice, Nicolas, Jeff Mercer, C. Savio Chan, et al.. (2004). D₂Dopamine Receptor-Mediated Modulation of Voltage-Dependent Na⁺Channels Reduces Autonomous Activity in Striatal Cholinergic Interneurons. Journal of Neuroscience. 24(46). 10289–10301. 178 indexed citations

7.

Chan, C. Savio, Ryuichi Shigemoto, Jeff Mercer, & D. James Surmeier. (2004). HCN2 and HCN1 Channels Govern the Regularity of Autonomous Pacemaking and Synaptic Resetting in Globus Pallidus Neurons. Journal of Neuroscience. 24(44). 9921–9932. 143 indexed citations

8.

Mercer, Jeff, et al.. (1993). You Can Teach Hitting. Medical Entomology and Zoology. 2 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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