Margaret McKernan

2.5k citations
20 papers · 2.0k indexed · 1 hit paper · h-index 17

Margaret McKernan

20 papers receiving 2.0k citations

Hit Papers

Fear conditioning induces a lasting potentiation of synap...6241997202620062016200400600

Peers

Margaret McKernan
Comparison fields: 5 of 93
  • Behavioral Neuroscience 260
  • Cellular and Molecular Neuroscience 865
  • Cognitive Neuroscience 821
  • Oncology 528
  • Developmental Neuroscience 57
Replace J. Kambayashi with:
J. Kambayashi Japan
Roberto Toni Italy
Mark Rutstein United States
Beata Jabłońska Poland
Ammar H. Hawasli United States
Duncan Morhardt United States
N. Tabori United States
I. Lorén Sweden
Neil Schwartz United States
Margaret McKernan relative to J. Kambayashi Japan J. Kambayashi's profile →
Citations per field
00.5×10×13.5×
J. Kambayashi · 1×
Citations per year

Countries citing papers authored by Margaret McKernan

Since Specialization
Citations

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

Fields of papers citing papers by Margaret McKernan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Margaret McKernan, 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 Margaret McKernan Line = papers co-authored together Margaret McKernan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201122
2 201015
3 201016
4 2010125
5 20094
6 200895
7 200884
8 200751
9 200767
10 2006242
11 2006144
12 200573
13 200530
14 200367
15 200359
16 200214
17 200135
18
Fear conditioning induces a lasting potentiation of synaptic currents in vitrobreakdown →
1997624
19 1993134
20 1993116

About Margaret McKernan

Margaret McKernan is a scholar working on Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Oncology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (8 papers), Esophageal Cancer Research and Treatment (7 papers), Memory and Neural Mechanisms (6 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Esophageal and GI Pathology (2 papers). The work is most often cited by research in Behavioral Neuroscience (260 citations), Cellular and Molecular Neuroscience (865 citations), Cognitive Neuroscience (821 citations), Oncology (528 citations) and Developmental Neuroscience (57 citations). Margaret McKernan has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Patricia Shinnick‐Gallagher, Robert C. Stuart, Donald C. McMillan, Andrew Crumley, Leonard E. Jarrard, Terry L. Davidson, Alec McDonald, James J. Going, Fatiha Zinebi and Jiangang Xie. Their work appears in journals such as British Journal of Cancer, Behavioral Neuroscience, American Journal of Roentgenology, Journal of Neuroscience and Journal of Gastroenterology and Hepatology.

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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