M-M. Mesulam

3.5k total citations · 1 hit paper
11 papers, 2.8k citations indexed

About

M-M. Mesulam is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, M-M. Mesulam has authored 11 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in M-M. Mesulam's work include Spatial Neglect and Hemispheric Dysfunction (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ophthalmology and Eye Disorders (2 papers). M-M. Mesulam is often cited by papers focused on Spatial Neglect and Hemispheric Dysfunction (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ophthalmology and Eye Disorders (2 papers). M-M. Mesulam collaborates with scholars based in United States and United Kingdom. M-M. Mesulam's co-authors include Stephan Heckers, R.G. Wiley, Changiz Geula, Toshiyuki Ohtake, Joanne Berger-Sweeney, M. C. Sharma, Darren R. Gitelman, Todd B. Parrish, Patrick D. Skosnik and Paul J. Reber and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Annals of Neurology.

In The Last Decade

M-M. Mesulam

11 papers receiving 2.7k citations

Hit Papers

A cortical network for directed attention and unilateral ... 1981 2026 1996 2011 1981 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M-M. Mesulam United States 8 2.2k 514 364 318 255 11 2.8k
M‐Marsel Mesulam United States 12 2.3k 1.0× 645 1.3× 390 1.1× 342 1.1× 317 1.2× 14 3.6k
Markus M. Schugens Germany 20 902 0.4× 537 1.0× 198 0.5× 349 1.1× 435 1.7× 34 1.8k
Leslie J. Vogt United States 20 1.4k 0.6× 839 1.6× 287 0.8× 344 1.1× 137 0.5× 27 2.3k
Carmen Cavada Spain 27 2.7k 1.2× 1.3k 2.5× 352 1.0× 73 0.2× 456 1.8× 50 4.1k
Patricia S. Goldman‐Rakic United States 11 1.6k 0.7× 793 1.5× 308 0.8× 60 0.2× 179 0.7× 12 2.3k
Kevin A. Johnson United States 32 1.2k 0.6× 169 0.3× 281 0.8× 407 1.3× 448 1.8× 70 2.6k
LR Squire United States 13 2.7k 1.2× 1.5k 2.9× 219 0.6× 72 0.2× 360 1.4× 16 3.6k
Claudia L. R. Gonzalez Canada 25 1.2k 0.5× 483 0.9× 283 0.8× 73 0.2× 378 1.5× 86 2.3k
Nicola J. Ray United Kingdom 26 979 0.4× 1.1k 2.2× 168 0.5× 125 0.4× 462 1.8× 55 2.9k
Rodney A. Swain United States 21 1.1k 0.5× 779 1.5× 746 2.0× 61 0.2× 510 2.0× 39 2.9k

Countries citing papers authored by M-M. Mesulam

Since Specialization
Citations

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

Fields of papers citing papers by M-M. Mesulam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M-M. Mesulam. 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 M-M. Mesulam. The network helps show where M-M. Mesulam may publish in the future.

Co-authorship network of co-authors of M-M. Mesulam

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

All Works

11 of 11 papers shown
1.
Skosnik, Patrick D., et al.. (2002). Neural Correlates of Artificial Grammar Learning. NeuroImage. 17(3). 1306–1314. 66 indexed citations
2.
Parrish, Todd B., Craig Weiss, Kevin S. LaBar, et al.. (2002). Electromyography as a Recording System for Eyeblink Conditioning with Functional Magnetic Resonance Imaging. NeuroImage. 17(2). 977–987. 24 indexed citations
3.
Gitelman, Darren R., et al.. (1998). Activation of Overlapping but not Identical Frontal and Parietal Regions by Saccadic Eye Movement and Overt Spatial Attention Tasks. NeuroImage. 7(4). S68–S68. 2 indexed citations
4.
Nobre, Anna C., et al.. (1998). The Overlap of Brain Regions that Control Saccades and Covert Visual Spatial Attention Revealed by fMRI.. NeuroImage. 7(4). S9–S9. 12 indexed citations
5.
Parrish, Todd B., et al.. (1998). Clinical fMRI: Is patient motion really an issue?. NeuroImage. 7(4). S560–S560. 10 indexed citations
6.
Gitelman, Darren R., et al.. (1996). Functional magnetic resonance imaging of covert spatial attention. NeuroImage. 3(3). S180–S180. 6 indexed citations
7.
Heckers, Stephan, et al.. (1994). Complete and selective cholinergic denervation of rat neocortex and hippocampus but not amygdala by an immunotoxin against the p75 NGF receptor. Journal of Neuroscience. 14(3). 1271–1289. 347 indexed citations
8.
Berger-Sweeney, Joanne, et al.. (1994). Differential effects on spatial navigation of immunotoxin-induced cholinergic lesions of the medial septal area and nucleus basalis magnocellularis. Journal of Neuroscience. 14(7). 4507–4519. 283 indexed citations
10.
Mesulam, M-M., et al.. (1985). Personality Disorder-Reply. Archives of Neurology. 42(9). 840–840. 2 indexed citations
11.
Mesulam, M-M.. (1981). A cortical network for directed attention and unilateral neglect. Annals of Neurology. 10(4). 309–325. 1942 indexed citations breakdown →

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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