Michael Van Meter

3k citations
22 papers · 2.3k · 3 hit papers · h-index 13

Impact in

Papers in

Michael Van Meter

20 papers receiving 2.3k citations

Michael Van Meter's Hit Papers

Common and rare variant associations with clonal haematopoiesis phenotypes 2022 · 218 citations
2180+5+10Years since publication200400600

Peers

Michael Van Meter
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 789
  • Aging 238
  • Hematology 147
  • Physiology 258
  • Molecular Biology 621
Replace Yvette Bultsma with:
Yvette Bultsma United Kingdom
Agustina D’Urso United States
Anatoly Y. Nikolaev United States
Lisa D. Boxer United States
David Frescas United States
Bárbara Martínez-Pastor United States
Lydia M.M. Smits Netherlands
Teruaki Iyama Japan
Max R. Banko United States
Satoko Aratani Japan
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Citations per year

Countries citing papers authored by Michael Van Meter

Since Specialization
Citations

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

Fields of papers citing papers by Michael Van Meter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Van Meter. 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 Michael Van Meter. The network helps show where Michael Van Meter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SIRT6 Promotes DNA Repair Under Stress by Activating PARP1
Hit paper breakdown →
2011728
2
LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient Mice Drives Inflammation
Hit paper breakdown →
2019366
3 2014338
4
Common and rare variant associations with clonal haematopoiesis phenotypes
Hit paper breakdown →
2022218
5 2012151
6 2011119
7 2016108
8 2015105
9 201163
10 202249
11 201317
12 202015
13 201614
14 201411
15 201710
16 20179
17 20199
18 20125
19 20152
20
SLOE Lower Third Ranking: Is it the Kiss of Death?
20161

About Michael Van Meter

Michael Van Meter is a scholar working on Geriatrics and Gerontology, Aging, Public Health, Environmental and Occupational Health, Molecular Biology and Physiology, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (10 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), DNA Repair Mechanisms (5 papers), Medical Education and Admissions (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Acute Lymphoblastic Leukemia research (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Innovations in Medical Education (1 paper). The work is most often cited by research in Geriatrics and Gerontology (789 citations), Aging (238 citations), Hematology (147 citations), Physiology (258 citations) and Molecular Biology (621 citations). Michael Van Meter has collaborated with scholars based in United States, Brazil and Israel. Frequent co-authors include Andrei Seluanov, Vera Gorbunova, Zhiyong Mao, Xiao Tian, Christopher Hine, Amita M. Vaidya, Timothy D. Morello, Anthony J. Geneva, Sarallah Rezazadeh and Mehr Kashyap. Their work appears in journals such as Aging, Cell Cycle, Cell Reports, Disease Models & Mechanisms and Nature Communications.

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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