Melanie Pearson

1.9k citations
37 papers · 1.6k · h-index 14

Impact in

Papers in

Melanie Pearson

34 papers receiving 1.6k citations

Peers

Melanie Pearson
Comparison fields: 5 of 132
  • Cognitive Neuroscience 534
  • Health, Toxicology and Mutagenesis 342
  • General Decision Sciences 34
  • Pollution 135
  • Plant Science 393
Replace M. Christopher Newland with:
M. Christopher Newland United States
Yael Abreu‐Villaça Brazil
Joseph Yanai Israel
Brian Stollery United Kingdom
Wayne C. Harris United States
Elliot B. Gordon United States
George Dietz United States
Johanna Inhyang Kim South Korea
Jack R. Nation United States
Melanie Pearson relative to M. Christopher Newland United States M. Christopher Newland's profile →
Citations per field
00.5×4.0×
M. Christopher Newland · 1×
Citations per year

Countries citing papers authored by Melanie Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005335
2 2008236
3 2013172
4 2006131
5 2006118
6 2008105
7 200395
8 200881
9 200360
10 201056
11 202056
12 200618
13 201916
14 201915
15 200613
16 202312
17 201912
18 202211
19 20209
20 20168

About Melanie Pearson

Melanie Pearson is a scholar working on Health, Toxicology and Mutagenesis, Sociology and Political Science, Plant Science, General Health Professions and Cognitive Neuroscience, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (7 papers), Toxic Organic Pollutants Impact (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Neural and Behavioral Psychology Studies (4 papers), Air Quality and Health Impacts (4 papers), Environmental Justice and Health Disparities (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). The work is most often cited by research in Cognitive Neuroscience (534 citations), Health, Toxicology and Mutagenesis (342 citations), General Decision Sciences (34 citations), Pollution (135 citations) and Plant Science (393 citations). Melanie Pearson has collaborated with scholars based in United States, Israel and Thailand. Frequent co-authors include Chensheng Lu, Gabriele Gratton, Monica Fabiani, Dana Boyd Barr, Bruce D. Bartholow, Lance A. Waller, Kenneth J. Sher, Cheryl L. Dickter, Roberto Bravo and Brian A. Gordon. Their work appears in journals such as Journal of Exposure Science & Environmental Epidemiology, Environmental Health Perspectives, Environmental Research, International Journal of Environmental Research and Public Health and NeuroImage.

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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