Matthew Suderman

157 papers receiving 8.1k citations

Hit Papers

Dietary Inflammatory Index and Non-Communicable Disease Risk: A Narrative Review 2019 · 230 citations
2302015202620182022100200300

Peers

Matthew Suderman
Comparison fields: 5 of 169
  • Biological Psychiatry 543
  • Behavioral Neuroscience 721
  • Pediatrics, Perinatology and Child Health 2.5k
  • Aging 117
  • Molecular Biology 4.3k
Replace Michael S. Kobor with:
Michael S. Kobor Canada
Alicia K. Smith United States
Karen N. Conneely United States
Gonneke Willemsen Netherlands
Leonard C. Schalkwyk United Kingdom
Andrew M. McIntosh United Kingdom
Barbara Franke Netherlands
Lindsay A. Farrer United States
Tatiana Foroud United States
Louis J. Muglia United States
Matthew Suderman relative to Michael S. Kobor Canada Michael S. Kobor's profile →
Citations per field
00.5×1.5×
Michael S. Kobor · 1×
Citations per year

Countries citing papers authored by Matthew Suderman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Suderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Disruption of histone methylation in developing sperm impairs offspring health transgenerationally
Hit paper breakdown →
2015356
2 2012326
3 2013323
4 2011301
5 2011299
6 2020290
7
Dietary Inflammatory Index and Non-Communicable Disease Risk: A Narrative Review
Hit paper breakdown →
2019230
8 2014230
9 2008228
10 2014226
11 2012214
12 2012207
13 2015194
14 2019188
15 2018179
16 2007158
17 2020149
18 2011146
19 2015144
20 2014142

About Matthew Suderman

Matthew Suderman is a scholar working on Biological Psychiatry, Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 164 papers that have together received 8.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (100 papers), Birth, Development, and Health (67 papers), Health, Environment, Cognitive Aging (41 papers), Tryptophan and brain disorders (10 papers), Cancer-related gene regulation (9 papers), RNA modifications and cancer (8 papers), Nutritional Studies and Diet (8 papers) and Child Abuse and Trauma (8 papers). The work is most often cited by research in Biological Psychiatry (543 citations), Behavioral Neuroscience (721 citations), Pediatrics, Perinatology and Child Health (2.5k citations), Aging (117 citations) and Molecular Biology (4.3k citations). Matthew Suderman has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Moshe Szyf, Michael Hallett, Caroline L. Relton, Gustavo Turecki, Michael J. Meaney, George Davey Smith, Andrew J. Simpkin, Aya Sasaki, Patrick O. McGowan and Tony Chieh‐Ting Huang. Their work appears in journals such as Clinical Epigenetics, PLoS ONE, Translational Psychiatry, Human Molecular Genetics and Epigenetics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026