Mary B. Kennedy

15.7k citations
98 papers · 12.3k indexed · 4 hit papers · h-index 51

Mary B. Kennedy

95 papers receiving 12.0k citations

Hit Papers

Signal-Processing Machines at the Postsynaptic Density619198320261997201150010001.5k

Peers

Mary B. Kennedy
Comparison fields: 5 of 149
  • Cellular and Molecular Neuroscience 8.3k
  • Developmental Neuroscience 905
  • Cell Biology 2.4k
  • Molecular Biology 8.1k
  • Neurology 867
Replace Ann Marie Craig with:
Ann Marie Craig United States
Yukiko Goda Japan
Jeremy M. Henley United Kingdom
Carlo Sala Italy
Howard Schulman United States
Hollis T. Cline United States
Thomas R. Soderling United States
Masayuki Masu Japan
Johannes Hell United States
Pertti Panula Finland
Mary B. Kennedy relative to Ann Marie Craig United States Ann Marie Craig's profile →
Citations per field
00.5×1.5×
Ann Marie Craig · 1×
Citations per year

Countries citing papers authored by Mary B. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Mary B. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary B. Kennedy. 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 Mary B. Kennedy. The network helps show where Mary B. Kennedy may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mary B. Kennedy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mary B. Kennedy Line = papers co-authored together Mary B. Kennedy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20220
3 202019
4 20174
5 201727
6 20081
7 2007144
8 2005281
9 2005217
10 200498
11 19995
12 19985
13 1998493
14 1998155
15 1997401
16
Domain Interaction Between NMDA Receptor Subunits and the Postsynaptic Density Protein PSD-95breakdown →
19951617
17 1993119
18
Support for Corporal Punishment in the Schools: A Comparison of the Effects of Socioeconomic Status and Religion.
199244
19 1988243
20
Type II CaS /calmodulin-dependent kinase phosphorylates tau protein in the region of the mouse repeat
19871

About Mary B. Kennedy

Mary B. Kennedy is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cell Biology, having authored 98 papers that have together received 12.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (50 papers), Mitochondrial Function and Pathology (19 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Photoreceptor and optogenetics research (11 papers), Retinal Development and Disorders (11 papers), Neurobiology and Insect Physiology Research (10 papers), Ion channel regulation and function (10 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.3k citations), Developmental Neuroscience (905 citations) and Cell Biology (2.4k citations). Mary B. Kennedy has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Hans‐Christian Kornau, Leslie T. Schenker, Mark K. Bennett, P. H. Seeburg, Kyung-Ok Cho, Ngozi Erondu, Holly J. Carlisle, Stephen G. Miller, Asako Oguni and Michelle Apperson.

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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