David Lahna

1.0k citations
26 papers · 728 indexed · h-index 14

Impact in

Papers in

David Lahna

24 papers receiving 723 citations

Peers

David Lahna
Comparison fields: 5 of 80
  • Neurology 143
  • Cellular and Molecular Neuroscience 197
  • Psychiatry and Mental health 157
  • Neurology 142
  • General Decision Sciences 17
Replace Matteo Cotta Ramusino with:
Matteo Cotta Ramusino Italy
Martyn Ezra United Kingdom
Joseph Kane United Kingdom
Deniz Erten‐Lyons United States
B. Reinhart Austria
Diana J. Wallin United States
Jeremy J. Pruzin United States
Joan Jiménez-Baladó Spain
Bart van Berckel Netherlands
Judith A. Salerno United States
David Lahna relative to Matteo Cotta Ramusino Italy Matteo Cotta Ramusino's profile →
Citations per field
00.5×6.6×
Matteo Cotta Ramusino · 1×
Citations per year

Countries citing papers authored by David Lahna

Since Specialization
Citations

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

Fields of papers citing papers by David Lahna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20243
3 20230
4 202227
5 20226
6 202023
7 201914
8 201939
9 201913
10 201819
11 201868
12 20171
13 201626
14 201663
15 201597
16 20151
17 20149
18 201287
19 2010134
20 201029

About David Lahna

David Lahna is a scholar working on Neurology, General Decision Sciences, Cellular and Molecular Neuroscience, Biochemistry and Psychiatry and Mental health, having authored 26 papers that have together received 728 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Fatty Acid Research and Health (5 papers), Functional Brain Connectivity Studies (4 papers), Alzheimer's disease research and treatments (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Neurology (143 citations), Cellular and Molecular Neuroscience (197 citations), Psychiatry and Mental health (157 citations), Neurology (142 citations) and General Decision Sciences (17 citations). David Lahna has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lisa C. Silbert, Jeffrey Kaye, Hiroko H. Dodge, William D. Rooney, Daniel L. Schwartz, Deniz Erten‐Lyons, Erin L. Boespflug, William F. Hoffman, Suzanne H. Mitchell and Marilyn Huckans. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Journal of Alzheimer s Disease, NeuroImage and JAMA Network Open.

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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