David E. Kram

33 papers receiving 999 citations

Hit Papers

Sister-chromatid exchanges: A report of the GENE-TOX program 1981 · 487 citations
4870+15+30Years since publication100200300400

Peers

David E. Kram
Comparison fields: 5 of 102
  • Cancer Research 615
  • Chemical Health and Safety 20
  • Health, Toxicology and Mutagenesis 256
  • Developmental Neuroscience 32
  • Aging 13
Replace Silvina B. Nadin with:
Silvina B. Nadin Argentina
B.E. Matter Switzerland
Hamiyet Dönmez‐Altuntaş Türkiye
Michael Franklin United States
Hamid Vaghef Sweden
Xueqing Liu China
Jillian E. Lowe United Kingdom
Mary W. Francis United States
Rachel M. Patterson United States
David E. Kram relative to Silvina B. Nadin Argentina Silvina B. Nadin's profile →
Citations per field
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Silvina B. Nadin · 1×
Citations per year

Countries citing papers authored by David E. Kram

Since Specialization
Citations

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

Fields of papers citing papers by David E. Kram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sister-chromatid exchanges: A report of the GENE-TOX program
Hit paper breakdown →
1981487
2 197992
3 197861
4 197848
5 197835
6 197933
7 202028
8 197928
9 198127
10 198026
11 201825
12 197925
13 197820
14 198019
15 197819
16 197918
17 197615
18 20229
19 20257
20 20167

About David E. Kram

David E. Kram is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Epidemiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Carcinogens and Genotoxicity Assessment (12 papers), DNA and Nucleic Acid Chemistry (8 papers), Glioma Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (3 papers), Animal Genetics and Reproduction (2 papers), Cancer therapeutics and mechanisms (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Cancer Research (615 citations), Chemical Health and Safety (20 citations), Health, Toxicology and Mutagenesis (256 citations), Developmental Neuroscience (32 citations) and Aging (13 citations). David E. Kram has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Edward L. Schneider, Raymond R. Tice, Rhona Schreck, Samuel A. Latt, A.V. Carrano, James W. Allen, Stephen E. Bloom, Ernest Falke, Sheldon Wolff and G Bynum. Their work appears in journals such as Mechanisms of Ageing and Development, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Experimental Cell Research, Drug Delivery and Translational Research and Mutation Research/Reviews in Genetic Toxicology.

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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