Lisa Mosconi

17.7k citations
122 papers · 9.9k indexed · 3 hit papers · h-index 55

Impact in

Papers in

Lisa Mosconi

116 papers receiving 9.7k citations

Hit Papers

Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition 2021 · 140 citations
1402005202620122019200400600

Peers

Lisa Mosconi
Comparison fields: 5 of 143
  • Psychiatry and Mental health 4.0k
  • Physiology 5.6k
  • Biological Psychiatry 489
  • Neurology 1.5k
  • Cognitive Neuroscience 1.7k
Replace Christopher H. van Dyck with:
Christopher H. van Dyck United States
Cynthia M. Carlsson United States
Lutz Frölich Germany
Barbara B. Bendlin United States
Yang An United States
Susan De Santi United States
Steen Gregers Hasselbalch Denmark
Brian J. Lopresti United States
William G. Honer Canada
Gene E. Alexander United States
Lisa Mosconi relative to Christopher H. van Dyck United States Christopher H. van Dyck's profile →
Citations per field
00.5×1.5×1.9×
Christopher H. van Dyck · 1×
Citations per year

Countries citing papers authored by Lisa Mosconi

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Mosconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 202310
5 20230
6 20228
7 2020104
8 201834
9 2018183
10 2017208
11 201522
12 201468
13 201451
14 201245
15 2010110
16 200867
17 200757
18 2007273
19 200757
20 200438

About Lisa Mosconi

Lisa Mosconi is a scholar working on Psychiatry and Mental health, Physiology, Neurology, Biological Psychiatry and Behavioral Neuroscience, having authored 122 papers that have together received 9.9k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (77 papers), Alzheimer's disease research and treatments (74 papers), Folate and B Vitamins Research (15 papers), Menopause: Health Impacts and Treatments (13 papers), Estrogen and related hormone effects (12 papers), Diet and metabolism studies (12 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (12 papers). The work is most often cited by research in Psychiatry and Mental health (4.0k citations), Physiology (5.6k citations), Biological Psychiatry (489 citations), Neurology (1.5k citations) and Cognitive Neuroscience (1.7k citations). Lisa Mosconi has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Mony J. de Leon, Alberto Pupi, Susan De Santi, Yi Li, Wai Hon Tsui, Elizabeth Pirraglia, Lidia Glodzik, Valentina Berti, Henry Rusinek and Richard Isaacson. Their work appears in journals such as Neurobiology of Aging, Neurology, Alzheimer s & Dementia, European Journal of Nuclear Medicine and Molecular Imaging and Frontiers in Aging 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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