Lisa Mackenzie

2.4k citations
90 papers · 1.7k · h-index 23

Impact in

Papers in

Lisa Mackenzie

86 papers receiving 1.7k citations

Peers

Lisa Mackenzie
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 266
  • Cognitive Neuroscience 271
  • Psychiatry and Mental health 139
  • Cardiology and Cardiovascular Medicine 207
  • Behavioral Neuroscience 28
Replace Jacquelyn L. Meyers with:
Jacquelyn L. Meyers United States
Uraina S. Clark United States
Mark Agius United Kingdom
Vicki Livingstone Ireland
Sandra López‐León United States
Jobst‐Hendrik Schultz Germany
Vincent Chin‐Hung Chen Taiwan
Lin T. Guey United States
Astrid Dempfle Germany
Bénédicte Gohier France
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Citations per field
00.5×2.6×
Jacquelyn L. Meyers · 1×
Citations per year

Countries citing papers authored by Lisa Mackenzie

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Mackenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004168
2 2015123
3 2008114
4 200593
5 201792
6 200072
7
Nonconvulsive electrocorticographic paroxysms (absence epilepsy) in rat strains.
199265
8 200657
9 199750
10 201150
11 201148
12 200646
13 200239
14 201832
15 201230
16 201030
17 201528
18 201827
19 202125
20 201324

About Lisa Mackenzie

Lisa Mackenzie is a scholar working on Oncology, General Health Professions, Cellular and Molecular Neuroscience, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer survivorship and care (11 papers), Cervical Cancer and HPV Research (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Global Cancer Incidence and Screening (6 papers), Epilepsy research and treatment (5 papers), Neurological disorders and treatments (4 papers), Patient Satisfaction in Healthcare (4 papers) and Telemedicine and Telehealth Implementation (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (266 citations), Cognitive Neuroscience (271 citations), Psychiatry and Mental health (139 citations), Cardiology and Cardiovascular Medicine (207 citations) and Behavioral Neuroscience (28 citations). Lisa Mackenzie has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rob Sanson‐Fisher, Mariko Carey, John O. Willoughby, Kerry Peek, Kenneth J. Pope, Jennifer Hiscock, Sean P. Fitzgibbon, Catherine D’Este, Tatsuo Akechi and Allison Boyes. Their work appears in journals such as Supportive Care in Cancer, Psycho-Oncology, Clinical Neurophysiology, Neuroscience and PLoS Currents.

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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