Yuka A. Martens

3.9k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 17
Topics
Alzheimer's disease research and treatments (15 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)Dementia and Cognitive Impairment Research (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Yuka A. Martens

28 papers receiving 1.4k citations

Hit Papers

ApoE Cascade Hypothesis in the pathogenesis of Alzheimer’...2022202620232024202250100150

Peers

Yuka A. Martens
Comparison fields: 5 of 88
  • Physiology 748
  • Neurology 490
  • Molecular Biology 459
  • Neurology 178
  • Cellular and Molecular Neuroscience 176
Replace Frédérique Bard with:
Frédérique Bard United States
Ilie‐Cosmin Stancu Belgium
Nicholas F. Fitz United States
Jiong Shi United States
Melissa Freeman United States
Carol Lin United States
Ernesto R. Gonzales United States
Yuan Fu China
Olivia Belbin Spain
Jennifer Rodriguez-Rivera United States
Yuka A. Martens relative to Frédérique Bard United States Frédérique Bard's profile →
Citations per field
00.5×5.2×
Frédérique Bard · 1×
Citations per year

Countries citing papers authored by Yuka A. Martens

Since Specialization
Citations

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

Fields of papers citing papers by Yuka A. Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuka A. Martens. 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 Yuka A. Martens. The network helps show where Yuka A. Martens may publish in the future.

Co-authorship network of co-authors of Yuka A. Martens

This figure shows the co-authorship network connecting the top 25 collaborators of Yuka A. Martens. A scholar is included among the top collaborators of Yuka A. Martens 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 Yuka A. Martens. Yuka A. Martens 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 8
2 0
3 6
4 42
5 45
6 26
7 17
8 10
9 42
10 39
11
ApoE Cascade Hypothesis in the pathogenesis of Alzheimer’s disease and related dementiasbreakdown →
166
12 56
13 1
14 2
15 95
16 45
17 111
18 52
19 130
20 217

About Yuka A. Martens

Yuka A. Martens is a scholar working on Aging, Neurology and Physiology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Neurology (490 citations), Biological Psychiatry (91 citations) and Physiology (748 citations). Yuka A. Martens has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Guojun Bu, Chia‐Chen Liu, Takahisa Kanekiyo, Na Zhao, Patrick M. Sullivan, Jing Zhao, Cynthia Linares, Mitsuru Shinohara, Joshua A. Knight and Meghan M. Painter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

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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