David B. Cody

2.2k citations
31 papers · 1.2k · h-index 18

Impact in

    • Exercise and Physiological Responses
  • Physiology top 10%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

    • Pluripotent Stem Cells Research 5
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • Renal and related cancers 3
    • Carcinogens and Genotoxicity Assessment 4
    • Cancer Genomics and Diagnostics 3

David B. Cody

31 papers receiving 1.2k citations

Peers

David B. Cody
Comparison fields: 5 of 124
  • Rehabilitation 78
  • Physiology 287
  • Behavioral Neuroscience 37
  • Cancer Research 148
  • Molecular Biology 618
Replace Colin S. McCoin with:
Colin S. McCoin United States
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Citations per field
00.5×1.5×2.2×
Colin S. McCoin · 1×
Citations per year

Countries citing papers authored by David B. Cody

Since Specialization
Citations

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

Fields of papers citing papers by David B. Cody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Cody. 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 David B. Cody. The network helps show where David B. Cody may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018244
2 2007172
3 1995129
4 2002127
5 199588
6 199373
7 200539
8 200331
9 199729
10 199527
11
Role of the H19 gene in Syrian hamster embryo cell tumorigenicity.
199725
12 200324
13 199423
14 199722
15 199421
16 198920
17 199720
18 200419
19 199614
20 200514

About David B. Cody

David B. Cody is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Physiology and Genetics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Pluripotent Stem Cells Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Cancer Genomics and Diagnostics (3 papers), Stress Responses and Cortisol (3 papers), Renal and related cancers (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Rehabilitation (78 citations), Physiology (287 citations), Behavioral Neuroscience (37 citations), Cancer Research (148 citations) and Molecular Biology (618 citations). David B. Cody has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Robert J. Isfort, Robert A. LeBœuf, Richard T. Hinkle, Russell J. Sheldon, Kevin E. Driscoll, Gary A. Kerckaert, Brian K. Kobilka, Sharon B. Stuard, Gregg M. Ridder and Mary Beth Bauer. Their work appears in journals such as Molecular Carcinogenesis, European Journal of Biochemistry, In Vitro Cellular & Developmental Biology - Animal, Carcinogenesis and Muscle & Nerve.

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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