F.T. Hatch

3.0k total citations
52 papers, 2.5k citations indexed

About

F.T. Hatch is a scholar working on Cancer Research, Molecular Biology and Plant Science. According to data from OpenAlex, F.T. Hatch has authored 52 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cancer Research, 20 papers in Molecular Biology and 17 papers in Plant Science. Recurrent topics in F.T. Hatch's work include Carcinogens and Genotoxicity Assessment (21 papers), Radiation Effects and Dosimetry (9 papers) and Genetically Modified Organisms Research (7 papers). F.T. Hatch is often cited by papers focused on Carcinogens and Genotoxicity Assessment (21 papers), Radiation Effects and Dosimetry (9 papers) and Genetically Modified Organisms Research (7 papers). F.T. Hatch collaborates with scholars based in United States, United Kingdom and Sweden. F.T. Hatch's co-authors include Mark G. Knize, James S. Felton, James S. Felton, Brian D. Andresen, Nancy H. Shen, David Layton, Virginia M. Johnson, Kenneth T. Bogen, J.A. Mazrimas and L.F. Bjeldanes and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

F.T. Hatch

50 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F.T. Hatch United States 26 1.3k 989 444 383 371 52 2.5k
Shigeaki Sato Japan 33 1.5k 1.2× 1.4k 1.4× 511 1.2× 264 0.7× 253 0.7× 112 3.1k
Taijiro Matsushima Japan 31 1.3k 1.0× 1.5k 1.6× 410 0.9× 332 0.9× 581 1.6× 65 3.3k
David B. Clayson Canada 32 1.2k 0.9× 898 0.9× 589 1.3× 172 0.4× 285 0.8× 129 3.1k
Shozo Takayama Japan 29 1.8k 1.4× 1.5k 1.5× 590 1.3× 312 0.8× 376 1.0× 131 3.4k
Herman A.J. Schut United States 30 1.4k 1.1× 1.5k 1.5× 404 0.9× 129 0.3× 240 0.6× 101 3.0k
P. B. Farmer United Kingdom 32 1.1k 0.8× 1.3k 1.3× 668 1.5× 169 0.4× 303 0.8× 86 3.1k
Wolfram Parzefall Austria 27 770 0.6× 988 1.0× 487 1.1× 272 0.7× 408 1.1× 51 2.5k
Emerich S. Fiala United States 33 759 0.6× 1.9k 1.9× 238 0.5× 131 0.3× 296 0.8× 89 3.6k
M. Metzler Germany 27 663 0.5× 669 0.7× 660 1.5× 210 0.5× 657 1.8× 83 2.4k
J.A. Styles United Kingdom 26 1.2k 0.9× 862 0.9× 565 1.3× 128 0.3× 374 1.0× 76 2.4k

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-authorship network of co-authors of F.T. Hatch

This figure shows the co-authorship network connecting the top 25 collaborators of F.T. Hatch. A scholar is included among the top collaborators of F.T. Hatch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F.T. Hatch. F.T. Hatch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Knize, Mark G., F.T. Hatch, Mary J. Tanga, Edmond Y. Lau, & Michael E. Colvin. (2005). A QSAR for the mutagenic potencies of twelve 2-amino-trimethylimidazopyridine isomers: Structural, quantum chemical, and hydropathic factors. Environmental and Molecular Mutagenesis. 47(2). 132–146. 14 indexed citations
2.
Moore, Dan H., et al.. (1997). Case-control study of malignant melanoma among employees of the Lawrence Livermore national laboratory. American Journal of Industrial Medicine. 32(4). 377–391. 28 indexed citations
3.
Hatch, F.T. & Michael E. Colvin. (1997). Quantitative structure–activity (QSAR) relationships of mutagenic aromatic and heterocyclic amines. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 376(1-2). 87–96. 43 indexed citations
4.
Hatch, F.T., Michael E. Colvin, & Edward T. Seidl. (1996). Structural and quantum chemical factors affecting mutagenic potency of aminoimidazo-azaarenes. Environmental and Molecular Mutagenesis. 27(4). 314–330. 32 indexed citations
5.
Vikse, Rose, et al.. (1995). Structure‐mutagenicity relationships of four amino‐imidazonaphthyridines and imidazoquinolines. Environmental and Molecular Mutagenesis. 26(1). 79–85. 8 indexed citations
6.
Layton, David, Kenneth T. Bogen, Mark G. Knize, et al.. (1995). Cancer risk of heterocyclic amines in cooked foods: an analysis and implications for research. Carcinogenesis. 16(1). 39–52. 497 indexed citations
7.
Wu, Rebekah W., et al.. (1995). Heterocyclic amine mutagenicity/carcinogenicity: influence of repair, metabolism, and structure.. PubMed. 23. 50–8. 11 indexed citations
8.
Hatch, F.T., Mark G. Knize, James S. Felton, & Rodman Morgan. (1991). Quantitative structure‐activity relationships of heterocyclic amine mutagens formed during the cooking of food. Environmental and Molecular Mutagenesis. 17(1). 4–19. 46 indexed citations
9.
Serres, Frederick J. de, Errol Zeiger, & F.T. Hatch. (1986). Future directions and research priorities for food mutagens. Environmental Health Perspectives. 67. 153–157. 5 indexed citations
10.
Knize, M. G., et al.. (1986). Identification of the mutagens in cooked beef.. Environmental Health Perspectives. 67. 17–24. 222 indexed citations
11.
Hatch, F.T.. (1986). A current genotoxicity database for heterocyclic thermic food mutagens. I. Genetically relevant endpoints.. Environmental Health Perspectives. 67. 93–103. 12 indexed citations
12.
Felton, James S., Mark G. Knize, Nancy H. Shen, et al.. (1986). Identification of the Mutagens in Cooked Beef. Environmental Health Perspectives. 67. 17–17. 14 indexed citations
13.
Bjeldanes, Leonard F., Marvin M. Morris, H. Timourian, & F.T. Hatch. (1983). Effects of meat composition and cooking conditions on mutagen formation in fried ground beef. Journal of Agricultural and Food Chemistry. 31(1). 18–21. 70 indexed citations
14.
Felton, James S., Susan K. Healy, Daniel H. Stuermer, et al.. (1981). Mutagens from the cooking of food. Mutation Research/Genetic Toxicology. 88(1). 33–44. 117 indexed citations
15.
Bostock, Christopher J., David M. Prescott, & F.T. Hatch. (1972). Timing of replication of the satellite and main band DNAs in cells of the kangaroo rat (Dipodomys ordii). Experimental Cell Research. 74(2). 487–495. 46 indexed citations
17.
Hatch, F.T., J.A. Mazrimas, Jessica L. Moore, et al.. (1970). Semi-quantitative paper electrophoresis of serum lipoproteins. Clinical Biochemistry. 3(1). 115–123. 2 indexed citations
18.
Hatch, F.T.. (1968). Atherosclerosis calls for a new kind of preventive medicine.. PubMed. 109(2). 134–45. 5 indexed citations
19.
Reissell, P., et al.. (1966). Treatment of Hypertriglyceridemia. American Journal of Clinical Nutrition. 19(2). 84–98. 57 indexed citations
20.
Merrill, Edward W., et al.. (1964). Rheology of human blood and hyperlipemia. Journal of Applied Physiology. 19(3). 493–496. 18 indexed citations

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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