Michelle E. Bishop

28 papers receiving 687 citations

Peers

Michelle E. Bishop
Comparison fields: 5 of 92
  • Cancer Research 338
  • Health, Toxicology and Mutagenesis 127
  • Food Science 129
  • Aging 10
  • Plant Science 172
Replace Laura Narciso with:
Laura Narciso Italy
Sharon D. Shelton United States
Dhamayanthi Pugazhendhi United Kingdom
Cho‐Won Kim South Korea
Zhanquan Shi United States
Silvia Filippi Italy
Jong Kun Park South Korea
P. Morales‐Ramírez Mexico
Chang Ye China
Håkan Wallin Denmark
Michelle E. Bishop relative to Laura Narciso Italy Laura Narciso's profile →
Citations per field
00.5×4.4×
Laura Narciso · 1×
Citations per year

Countries citing papers authored by Michelle E. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005100
2 200471
3 201265
4 200753
5 201250
6 200547
7 200937
8 201132
9 200829
10 200326
11 200823
12 199521
13 200121
14 201320
15 200117
16 202417
17 201415
18 201415
19 201613
20 200712

About Michelle E. Bishop

Michelle E. Bishop is a scholar working on Cancer Research, Molecular Biology, Plant Science, Health, Toxicology and Mutagenesis and Pathology and Forensic Medicine, having authored 30 papers that have together received 731 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (18 papers), DNA Repair Mechanisms (8 papers), Phytoestrogen effects and research (4 papers), Genetically Modified Organisms Research (3 papers), Estrogen and related hormone effects (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Plant Genetic and Mutation Studies (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Cancer Research (338 citations), Health, Toxicology and Mutagenesis (127 citations), Food Science (129 citations), Aging (10 citations) and Plant Science (172 citations). Michelle E. Bishop has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Mugimane G. Manjanatha, Anane Aidoo, Lascelles E. Lyn‐Cook, James T. MacGregor, Daniel R. Doerge, Sharon D. Shelton, Stephen D. Dertinger, L. Patrice McDaniel, Suzanne M. Morris and Robert H. Heflich. Their work appears in journals such as Environmental and Molecular Mutagenesis, Toxicological Sciences, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Journal of Visualized Experiments and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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