Matthew Witten

1.2k citations
71 papers · 862 · h-index 14

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Demography top 2%
    • Insurance, Mortality, Demography, Risk Management

Papers in

    • Gene Regulatory Network Analysis 8
    • Genetics, Aging, and Longevity in Model Organisms 15

Matthew Witten

60 papers receiving 786 citations

Peers

Matthew Witten
Comparison fields: 5 of 130
  • Aging 262
  • Demography 240
  • Health 85
  • Modeling and Simulation 44
  • Neuropsychology and Physiological Psychology 9
Replace Carlo Giovanni Camarda with:
Carlo Giovanni Camarda France
David Steinsaltz United States
Ádám Lénárt Denmark
L. Carotenuto Italy
Henry R. Hirsch United States
Jane‐Ling Wang United States
Csaba Kerepesi Hungary
Leo Szilard United States
S. Moss de Oliveira Brazil
Josh Mitteldorf United States
Matthew Witten relative to Carlo Giovanni Camarda France Carlo Giovanni Camarda's profile →
Citations per field
00.5×1.5×
Carlo Giovanni Camarda · 1×
Citations per year

Countries citing papers authored by Matthew Witten

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Witten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990220
2 200665
3 198852
4 198540
5
Modelling of biomedical systems
198636
6 198632
7 198431
8 199526
9 199222
10 198322
11 198621
12 198121
13 199520
14 197819
15 199613
16 198213
17 198312
18
Quantifying the concepts of rate and acceleration/deceleration of aging.
198912
19 199411
20
Mathematical Models in Medicine: Diseases and Epidemics
198710

About Matthew Witten

Matthew Witten is a scholar working on Molecular Biology, Aging, Genetics, Public Health, Environmental and Occupational Health and Demography, having authored 71 papers that have together received 862 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Evolution and Genetic Dynamics (8 papers), Gene Regulatory Network Analysis (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Stochastic processes and statistical mechanics (4 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Aging (262 citations), Demography (240 citations), Health (85 citations), Modeling and Simulation (44 citations) and Neuropsychology and Physiological Psychology (9 citations). Matthew Witten has collaborated with scholars based in United States. Frequent co-authors include Caleb E. Finch, Malcolm C. Pike, Kenneth L. Cooke, J. Eisenfeld, Jacob S. Siegel, Bruce A. Carnes, Larry R. Holden, S. Jay Olshansky, Diana J. Vincent and Frank M. Guess. Their work appears in journals such as Bulletin of Mathematical Biology, Mechanisms of Ageing and Development, Computers & Mathematics with Applications, Experimental Gerontology and Journal of Theoretical Biology.

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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