John J. Hablitz

6.7k total citations
131 papers, 5.5k citations indexed

About

John J. Hablitz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, John J. Hablitz has authored 131 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Cellular and Molecular Neuroscience, 77 papers in Molecular Biology and 50 papers in Cognitive Neuroscience. Recurrent topics in John J. Hablitz's work include Neuroscience and Neuropharmacology Research (114 papers), Ion channel regulation and function (54 papers) and Neural dynamics and brain function (41 papers). John J. Hablitz is often cited by papers focused on Neuroscience and Neuropharmacology Research (114 papers), Ion channel regulation and function (54 papers) and Neural dynamics and brain function (41 papers). John J. Hablitz collaborates with scholars based in United States, Norway and Germany. John J. Hablitz's co-authors include Bernd Sutor, Fu-Ming Zhou, Daniel Johnston, R. Anthony DeFazio, Carlos Gonzalez‐Islas, Edward C. Burgard, Sotirios Keros, Susan L. Campbell, Uwe Heinemann and Wilkie A. Wilson and has published in prestigious journals such as Nature, Journal of Neuroscience and PLoS ONE.

In The Last Decade

John J. Hablitz

131 papers receiving 5.4k citations

Peers

John J. Hablitz
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 4.6k
  • Molecular Biology 2.7k
  • Cognitive Neuroscience 2.1k
  • Psychiatry and Mental health 799
  • Neurology 352
Replace Patric K. Stanton with:
Patric K. Stanton United States
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Wilkie A. Wilson United States
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Citations per field, relative to John J. Hablitz
John J. Hablitz · 1×
Citations per year, relative to John J. Hablitz
John J. Hablitz · 1×

Countries citing papers authored by John J. Hablitz

Since Specialization
Citations

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

Fields of papers citing papers by John J. Hablitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Hablitz. 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 John J. Hablitz. The network helps show where John J. Hablitz may publish in the future.

Co-authorship network of co-authors of John J. Hablitz

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Hablitz. A scholar is included among the top collaborators of John J. Hablitz 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 John J. Hablitz. John J. Hablitz 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
# Work Indexed citations
1 15
2 19
3 9
4 39
5 24
6 56
7 15
8 27
9 96
10 17
11 13
12 45
13 1
14 13
15 9
16
Role of nmda and non nmda receptors in picrotoxin induced epileptiform activity in rat neocortex
2
17 86
18 19
19 94
20 4

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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