Lynn M. Bekris

5.6k citations
52 papers · 3.0k indexed · 2 hit papers · h-index 26
Topics
Alzheimer's disease research and treatments (24 papers)Neuroinflammation and Neurodegeneration Mechanisms (14 papers)Dementia and Cognitive Impairment Research (11 papers)

In The Last Decade

Lynn M. Bekris

51 papers receiving 2.9k citations

Hit Papers

Review Article: Genetics of Alzheimer Disease201020262015202020102015200400600

Peers

Lynn M. Bekris
Comparison fields: 5 of 127
  • Physiology 1.3k
  • Molecular Biology 1.0k
  • Neurology 910
  • Neurology 384
  • Immunology 379
Replace Kiran Bhaskar with:
Kiran Bhaskar United States
Daniel Paris United States
Yu Yamazaki Japan
Maya Koronyo‐Hamaoui United States
Henrietta M. Nielsen Sweden
Carla M. Yuede United States
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Lynn M. Bekris relative to Kiran Bhaskar United States Kiran Bhaskar's profile →
Citations per field
00.5×1.5×
Kiran Bhaskar · 1×
Citations per year

Countries citing papers authored by Lynn M. Bekris

Since Specialization
Citations

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

Fields of papers citing papers by Lynn M. Bekris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn M. Bekris. 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 Lynn M. Bekris. The network helps show where Lynn M. Bekris may publish in the future.

Co-authorship network of co-authors of Lynn M. Bekris

This figure shows the co-authorship network connecting the top 25 collaborators of Lynn M. Bekris. A scholar is included among the top collaborators of Lynn M. Bekris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lynn M. Bekris. Lynn M. Bekris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 42
4 56
5 61
6 14
7 27
8 16
9 6
10 32
11 71
12 47
13 7
14 96
15 45
16 96
17 32
18 12
19 83
20 105

About Lynn M. Bekris

Lynn M. Bekris is a scholar working on Neurology, Biological Psychiatry and Physiology, having authored 52 papers that have together received 3.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Dementia and Cognitive Impairment Research (11 papers). The work is most often cited by research in Neurology (910 citations), Biological Psychiatry (237 citations) and Physiology (1.3k citations). Lynn M. Bekris has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Debby W. Tsuang, Chang‐En Yu, Thomas D. Bird, James B. Leverenz, Cyrus P. Zabetian, Ignácio F. Mata, Bruce T. Lamb, Thomas J. Montine, Maria Khrestian and Jagan A. Pillai. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

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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