Michelle Gee

24 papers receiving 3.7k citations

Hit Papers

Updated safety results from phase 3 lecanemab study in early Alzheimer’s disease 2024 · 61 citations
61202220262023202450010001.5k2.0k2.5k

Peers

Michelle Gee
Comparison fields: 5 of 143
  • Biological Psychiatry 268
  • Psychiatry and Mental health 1.3k
  • Physiology 1.7k
  • Neurology 504
  • Pharmacology 554
Replace Peter Bentham with:
Peter Bentham United Kingdom
Karl Broich Germany
Ingvar Karlsson Sweden
Lutz Froelich Germany
Elizabeta B. Mukaetova‐Ladinska United Kingdom
Marwan Sabbagh United States
Ana Frank Spain
Linda M. Ercoli United States
Michio Kanekiyo United States
Andrea Vergallo France
Michelle Gee relative to Peter Bentham United Kingdom Peter Bentham's profile →
Citations per field
00.5×8.6×
Peter Bentham · 1×
Citations per year

Countries citing papers authored by Michelle Gee

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lecanemab in Early Alzheimer’s Disease
Hit paper breakdown →
20222741
2 2004153
3 201294
4 201488
5 199677
6 201172
7 201971
8 201266
9
Updated safety results from phase 3 lecanemab study in early Alzheimer’s disease
Hit paper breakdown →
202461
10 202350
11 200550
12 200949
13 200847
14 199741
15 201331
16 201420
17 199920
18 202216
19 202316
20 20064

About Michelle Gee

Michelle Gee is a scholar working on Biological Psychiatry, Research and Theory, Psychiatry and Mental health, Physiology and Pharmacology, having authored 26 papers that have together received 3.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (6 papers), Tryptophan and brain disorders (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Electroconvulsive Therapy Studies (3 papers), Epilepsy research and treatment (3 papers), Pain Mechanisms and Treatments (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Biological Psychiatry (268 citations), Psychiatry and Mental health (1.3k citations), Physiology (1.7k citations), Neurology (504 citations) and Pharmacology (554 citations). Michelle Gee has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Michael C. Irizarry, Michio Kanekiyo, Shobha Dhadda, Christopher H. van Dyck, Lynn D. Kramer, Chad J. Swanson, Sharon Cohen, David Watson, Paul Aisen and Bruno Vellas. Their work appears in journals such as Alzheimer s & Dementia, Journal of Psychopharmacology, SLAS DISCOVERY, Alzheimer s Research & Therapy and Neuroscience.

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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