Stephen E. Bloom

64 papers receiving 3.1k citations

Hit Papers

Sister-chromatid exchanges: A report of the GENE-TOX program 1981 · 487 citations
4870+17+34Years since publication250500750

Peers

Stephen E. Bloom
Comparison fields: 5 of 129
  • Cancer Research 713
  • Chemical Health and Safety 20
  • Plant Science 1.1k
  • Genetics 813
  • Health, Toxicology and Mutagenesis 337
Replace Eun Mi Kim with:
Eun Mi Kim South Korea
Robert A. Metcalf United States
Hideo Yamagata Japan
Nam‐Hyung Kim South Korea
Erwin Goldberg United States
Betty Huang United States
Zhixing Feng China
Е. Д. Свердлов Russia
Lucy E. J. Lee Canada
Paola Venier Italy
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Citations per field
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Eun Mi Kim · 1×
Citations per year

Countries citing papers authored by Stephen E. Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualization of nucleolar organizer regions in mammalian chromosomes using silver staining
Hit paper breakdown →
1975983
2
Sister-chromatid exchanges: A report of the GENE-TOX program
Hit paper breakdown →
1981487
3 1977277
4 2001182
5 2011156
6 1985112
7 197964
8 199847
9 197647
10 197246
11 197246
12 198844
13 198740
14 198637
15 198436
16 199635
17 198433
18 199132
19 198632
20 197429

About Stephen E. Bloom

Stephen E. Bloom is a scholar working on Molecular Biology, Plant Science, Cancer Research, Immunology and Genetics, having authored 64 papers that have together received 3.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (19 papers), Chromosomal and Genetic Variations (12 papers), Animal Genetics and Reproduction (10 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (7 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Genetically Modified Organisms Research (5 papers). The work is most often cited by research in Cancer Research (713 citations), Chemical Health and Safety (20 citations), Plant Science (1.1k citations), Genetics (813 citations) and Health, Toxicology and Mutagenesis (337 citations). Stephen E. Bloom has collaborated with scholars based in United States, Canada and Ghana. Frequent co-authors include Carll Goodpasture, Andrew D. Kligerman, Donna E. Muscarella, Larry D. Bacon, Joshua W. Hamilton, Rhona Schreck, David E. Kram, Samuel A. Latt, Raymond R. Tice and Edward L. Schneider. Their work appears in journals such as Journal of Heredity, Biochemical Pharmacology, Chromosoma, Poultry Science and Immunogenetics.

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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