F.T. Hatch

50 papers receiving 2.4k citations

Peers

F.T. Hatch
Comparison fields: 5 of 121
  • Cancer Research 1.3k
  • Health, Toxicology and Mutagenesis 444
  • Chemical Health and Safety 18
  • Food Science 383
  • Molecular Biology 989
Replace Shigeaki Sato with:
Shigeaki Sato Japan
Taijiro Matsushima Japan
David B. Clayson Canada
M. Metzler Germany
Shozo Takayama Japan
L.F. Bjeldanes United States
P. B. Farmer United Kingdom
Yuko Seino Japan
Wolfram Parzefall Austria
D. Wild Germany
F.T. Hatch relative to Shigeaki Sato Japan Shigeaki Sato's profile →
Citations per field
00.5×1.5×
Shigeaki Sato · 1×
Citations per year

Countries citing papers authored by F.T. Hatch

Since Specialization
Citations

This map shows the geographic impact of F.T. Hatch'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 F.T. Hatch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.T. Hatch more than expected).

Fields of papers citing papers by F.T. Hatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.T. Hatch. 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 F.T. Hatch. The network helps show where F.T. Hatch may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995497
2 1986251
3 1986222
4 1984159
5 1981117
6 198387
7 196987
8 198578
9 198370
10
Quantitative agarose gel electrophoresis of plasma lipoproteins: a simple technique and two methods for standardization.
197370
11 198265
12 197258
13 196657
14 200051
15 199146
16 197246
17 196844
18 199743
19 197342
20 197336

About F.T. Hatch

F.T. Hatch is a scholar working on Chemical Health and Safety, Cancer Research, Pollution, Food Science and Plant Science, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (21 papers), Radiation Effects and Dosimetry (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Genetically Modified Organisms Research (7 papers), Plant Genetic and Mutation Studies (7 papers), Chromosomal and Genetic Variations (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Health, Toxicology and Mutagenesis (444 citations), Chemical Health and Safety (18 citations), Food Science (383 citations) and Molecular Biology (989 citations). F.T. Hatch has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Mark G. Knize, James S. Felton, James S. Felton, Brian D. Andresen, Nancy H. Shen, Kenneth T. Bogen, Virginia M. Johnson, David Layton, J.A. Mazrimas and L.F. Bjeldanes. Their work appears in journals such as Environmental and Molecular Mutagenesis, Environmental Health Perspectives, Food and Chemical Toxicology, Carcinogenesis and Nature.

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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