Greg Cosma

2.1k citations
38 papers · 1.8k · h-index 20

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 16
    • Glutathione Transferases and Polymorphisms 4
    • Molecular Biology Techniques and Applications 4

Greg Cosma

38 papers receiving 1.8k citations

Peers

Greg Cosma
Comparison fields: 5 of 130
  • Pharmacology 268
  • Cancer Research 386
  • Health, Toxicology and Mutagenesis 309
  • Biochemistry 122
  • Endocrine and Autonomic Systems 102
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Howard D. Colby United States
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E. Richter Germany
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Citations per year

Countries citing papers authored by Greg Cosma

Since Specialization
Citations

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

Fields of papers citing papers by Greg Cosma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994273
2 1998194
3 1994182
4 2000173
5 2003133
6 1993132
7 1993103
8 199888
9 200374
10
Racial differences in restriction fragment length polymorphisms and messenger RNA inducibility of the human CYP1A1 gene.
199352
11
CYP1A1 messenger RNA levels in placental tissue as a biomarker of environmental exposure.
199549
12 198838
13 199435
14 201031
15 199228
16 199823
17 199123
18 199421
19
Expression of the CYP1A1 gene in peripheral lymphocytes as a marker of exposure to creosote in railroad workers.
199321
20 198421

About Greg Cosma

Greg Cosma is a scholar working on Cancer Research, Molecular Biology, Health, Toxicology and Mutagenesis, Pharmacology and Biophysics, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (16 papers), Pharmacogenetics and Drug Metabolism (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Molecular Biology Techniques and Applications (4 papers), Free Radicals and Antioxidants (4 papers), Indoor Air Quality and Microbial Exposure (3 papers), Electron Spin Resonance Studies (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Pharmacology (268 citations), Cancer Research (386 citations), Health, Toxicology and Mutagenesis (309 citations), Biochemistry (122 citations) and Endocrine and Autonomic Systems (102 citations). Greg Cosma has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Seymour Garte, Lun‐Yi Zang, Val Vallyathan, Frances Crofts, Henry S. Gardner, Diane Currie, Paolo Toniolo, Vince Castranova, Emanuela Taioli and Julie Trachman. Their work appears in journals such as Environmental Health Perspectives, Toxicology, Carcinogenesis, Molecular and Cellular Biochemistry and Journal of Toxicology and Environmental Health.

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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