Dena S. Leeman

3.5k citations
15 papers · 2.0k indexed · 2 hit papers · h-index 11

Impact in

Papers in

Dena S. Leeman

15 papers receiving 2.0k citations

Hit Papers

Single-cell analysis reveals T cell infiltration in old neurogenic niches 2019 · 363 citations
3632018202620202023100200300

Peers

Dena S. Leeman
Comparison fields: 5 of 94
  • Aging 318
  • Developmental Neuroscience 357
  • Neurology 328
  • Genetics 351
  • Biological Psychiatry 60
Replace Patrick Ventura with:
Patrick Ventura United States
Alexander Y. Maslov United States
Judith Stegmüller Germany
Mason A. Israel United States
Justine D. Miller United States
Dorit Donoviel United States
Tracy L. Hagemann United States
Delphine Gobert France
Kazuko Fujisawa Japan
Mohamed Abdouh Canada
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Citations per field
00.5×9.9×
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Citations per year

Countries citing papers authored by Dena S. Leeman

Since Specialization
Citations

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

Fields of papers citing papers by Dena S. Leeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dena S. Leeman. 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 Dena S. Leeman. The network helps show where Dena S. Leeman may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202433
2 202142
3 20215
4
Single-cell analysis reveals T cell infiltration in old neurogenic niches
Hit paper breakdown →
2019363
5
Lysosome activation clears aggregates and enhances quiescent neural stem cell activation during aging
Hit paper breakdown →
2018382
6 2017234
7 2013119
8 201114
9 2010389
10 2008305
11 200847
12 20081
13 200867
14 20071
15 200710

About Dena S. Leeman

Dena S. Leeman is a scholar working on Aging, Developmental Neuroscience, Neuropsychology and Physiological Psychology, Hematology and Genetics, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Aging (318 citations), Developmental Neuroscience (357 citations), Neurology (328 citations), Genetics (351 citations) and Biological Psychiatry (60 citations). Dena S. Leeman has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Anne Brunet, Ben W. Dulken, Katja Hebestreit, Stéphane C. Boutet, Géraldine S. Maro, Anna G. Hauswirth, Shuo Han, Eric Lieberman Greer, Travis J. Maures and Erin M. Green. Their work appears in journals such as Blood, Nature, Cell Reports, Science and Nature Aging.

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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