José M. Maisog

7.6k citations
54 papers · 5.9k indexed · 4 hit papers · h-index 32

José M. Maisog

53 papers receiving 5.7k citations

Hit Papers

Pain Intensity Processing Within the Human Brain: A Bilat...19952026200520151999199819951996250500750

Peers

José M. Maisog
Comparison fields: 5 of 163
  • Cognitive Neuroscience 3.6k
  • Developmental and Educational Psychology 1.0k
  • Health, Toxicology and Mutagenesis 633
  • Physiology 633
  • Statistics and Probability 528
Replace Jeri S. Janowsky with:
Jeri S. Janowsky United States
Eric Kan United States
Gabriel Leonard Canada
Sherif Karama Canada
J. Eric Schmitt United States
Matthew S. Panizzon United States
Megan M. Herting United States
Anderson M. Winkler United States
Gaolang Gong China
Maarten Mennes Netherlands
José M. Maisog relative to Jeri S. Janowsky United States Jeri S. Janowsky's profile →
Citations per field
00.5×11.7×
Jeri S. Janowsky · 1×
Citations per year

Countries citing papers authored by José M. Maisog

Since Specialization
Citations

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

Fields of papers citing papers by José M. Maisog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José M. Maisog

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 27
3 34
4 53
5 24
6 83
7 4
8 42
9 39
10 93
11 146
12 140
13 126
14 47
15 250
16 73
17 229
18
Abnormal processing of visual motion in dyslexia revealed by functional brain imagingbreakdown →
510
19
REGIONAL CEREBRAL GLUCOSE-METABOLISM AT REST AND DURING SENSORY STIMULATION IN PATIENTS WITH ALZHEIMERS-DISEASE
3
20 41

About José M. Maisog

José M. Maisog is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Obstetrics and Gynecology, having authored 54 papers that have together received 5.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Face Recognition and Perception (6 papers) and Reading and Literacy Development (5 papers). The work is most often cited by research in Cognitive Neuroscience (3.6k citations), Developmental and Educational Psychology (1.0k citations) and Statistics and Probability (528 citations). José M. Maisog has collaborated with scholars based in United States, Canada and China. Frequent co-authors include James V. Haxby, Leslie G. Ungerleider, Robert C. Coghill, Christine N. Sang, Michael J. Iadarola, Rajeshwari Sundaram, Germaine M. Buck Louis, Susan Courtney, Barry Horwitz and Laurent Petit. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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