Jim Kaput

4.1k total citations
88 papers, 2.5k citations indexed

About

Jim Kaput is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jim Kaput has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 35 papers in Molecular Biology and 21 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jim Kaput's work include Nutrition, Genetics, and Disease (38 papers), Nutritional Studies and Diet (19 papers) and Diet and metabolism studies (16 papers). Jim Kaput is often cited by papers focused on Nutrition, Genetics, and Disease (38 papers), Nutritional Studies and Diet (19 papers) and Diet and metabolism studies (16 papers). Jim Kaput collaborates with scholars based in United States, Switzerland and Brazil. Jim Kaput's co-authors include Raymond L. Rodriguez, Günter Blobel, Ben van Ommen, Ellen Siobhan Mitchell, Baitang Ning, Nelly Conus, Leming Shi, Jaap Keijer, Sandra G. Heil and Bridgett Green and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Jim Kaput

88 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
Jim Kaput United States 26 1.0k 829 453 420 185 88 2.5k
David L. McCormick United States 37 1.7k 1.7× 753 0.9× 390 0.9× 192 0.5× 292 1.6× 132 4.4k
Pei‐Yu Wang China 25 676 0.7× 242 0.3× 196 0.4× 196 0.5× 84 0.5× 117 1.9k
Susan N. Perkins United States 37 1.6k 1.6× 421 0.5× 1.1k 2.5× 206 0.5× 142 0.8× 86 3.7k
Mi-Young Park South Korea 26 777 0.8× 162 0.2× 248 0.5× 97 0.2× 139 0.8× 142 2.2k
Theresa J. Smith United States 44 1.9k 1.9× 205 0.2× 148 0.3× 668 1.6× 143 0.8× 127 5.8k
Vincenzo Zara Italy 34 1.7k 1.7× 201 0.2× 310 0.7× 676 1.6× 349 1.9× 100 3.4k
Marjorie Perloff United States 21 1.2k 1.2× 204 0.2× 403 0.9× 75 0.2× 121 0.7× 112 3.1k
Jan Carlstedt‐Duke Sweden 44 3.3k 3.3× 3.6k 4.3× 540 1.2× 291 0.7× 144 0.8× 105 7.0k
James D. Yager United States 43 3.5k 3.4× 2.7k 3.2× 518 1.1× 406 1.0× 252 1.4× 118 7.6k
Mark Ziemann Australia 30 2.4k 2.4× 285 0.3× 677 1.5× 201 0.5× 185 1.0× 92 3.6k

Countries citing papers authored by Jim Kaput

Since Specialization
Citations

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

Fields of papers citing papers by Jim Kaput

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Kaput. 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 Jim Kaput. The network helps show where Jim Kaput may publish in the future.

Co-authorship network of co-authors of Jim Kaput

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Kaput. A scholar is included among the top collaborators of Jim Kaput 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 Jim Kaput. Jim Kaput 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.
Kaput, Jim & Jacqueline Pontes Monteiro. (2024). Human Nutrition Research in the Data Era: Results of 11 Reports on the Effects of a Multiple-Micronutrient-Intervention Study. Nutrients. 16(2). 188–188. 1 indexed citations
2.
Monteiro, Jacqueline Pontes, Melissa J. Morine, Fábio da Veiga Ued, & Jim Kaput. (2023). Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading. Nutrients. 15(2). 270–270. 1 indexed citations
3.
Fuzo, Carlos Alessandro, Fábio da Veiga Ued, Sofia Moco, et al.. (2021). Contribution of genetic ancestry and polygenic risk score in meeting vitamin B12 needs in healthy Brazilian children and adolescents. Scientific Reports. 11(1). 11992–11992. 5 indexed citations
4.
Varma, Vijayalakshmi, Greg T. Nolen, Grégory Lefebvre, et al.. (2020). DNA methylation during human adipogenesis and the impact of fructose. Genes & Nutrition. 15(1). 21–21. 8 indexed citations
5.
Roos, Baukje de, Anna‐Marja Aura, Maria Rosário Bronze, et al.. (2019). Targeting the delivery of dietary plant bioactives to those who would benefit most: from science to practical applications. European Journal of Nutrition. 58(S2). 65–73. 12 indexed citations
6.
Scott‐Boyer, Marie‐Pier, Sébastien Lacroix, Marco Scotti, et al.. (2016). A network analysis of cofactor-protein interactions for analyzing associations between human nutrition and diseases. Scientific Reports. 6(1). 19633–19633. 21 indexed citations
7.
Monteiro, Jacqueline Pontes, Martin Kussmann, & Jim Kaput. (2015). The genomics of micronutrient requirements. Genes & Nutrition. 10(4). 466–466. 13 indexed citations
8.
Varma, Vijayalakshmi, László G. Boros, Greg T. Nolen, et al.. (2014). Metabolic fate of fructose in human adipocytes: a targeted 13C tracer fate association study. Metabolomics. 11(3). 529–544. 30 indexed citations
9.
Monteiro, Jacqueline Pontes, Carolyn Wise, Melissa J. Morine, et al.. (2014). Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study. Genes & Nutrition. 9(3). 403–403. 22 indexed citations
10.
Yang, Lun, Ching‐Wei Chang, Yan Li, et al.. (2013). Gene Expression Variability in Human Hepatic Drug Metabolizing Enzymes and Transporters. PLoS ONE. 8(4). e60368–e60368. 45 indexed citations
11.
Kaput, Jim & Melissa J. Morine. (2012). Discovery-Based Nutritional Systems Biology: Developing N-of-1 Nutrigenomic Research. International Journal for Vitamin and Nutrition Research. 82(5). 333–341. 12 indexed citations
12.
Kaput, Jim, Chris T. Evelo, Giuditta Perozzi, Ben van Ommen, & Richard G.H. Cotton. (2010). Connecting the Human Variome Project to nutrigenomics. Genes & Nutrition. 5(4). 275–283. 3 indexed citations
13.
Kaput, Jim. (2007). Nutrigenomics – 2006 update. Clinical Chemistry and Laboratory Medicine (CCLM). 45(3). 279–87. 7 indexed citations
14.
Ordovás, José M., Jim Kaput, & Dolores Corella. (2007). Nutrition in the genomics era: Cardiovascular disease risk and the Mediterranean diet. Molecular Nutrition & Food Research. 51(10). 1293–1299. 36 indexed citations
15.
Kaput, Jim, et al.. (2006). Harnessing Nutrigenomics: Development of web-based communication, databases, resources, and tools. Genes & Nutrition. 1(1). 5–11. 13 indexed citations
16.
Roschelle, Jeremy, et al.. (2005). FIVE KEY CONSIDERATIONS FOR NETWORKING IN A HANDHELD-BASED MATHEMATICS CLASSROOM. Proceedings of the ... PME Conference. 4. 71–78. 11 indexed citations
17.
Hegedus, Stephen & Jim Kaput. (2005). The Effect of a SimCalc Connected Classroom on Students' Algebraic Thinking. Proceedings of the ... PME Conference. 3. 47–54. 5 indexed citations
18.
Kaput, Jim, et al.. (2003). Nutrigenomics: An emerging scientific discipline. Food technology. 57(4). 60–67. 8 indexed citations
19.
Mangian, Heather, et al.. (1997). Lipid Level and Type Alter Stearoyl CoA Desaturase mRNA Abundance Differently in Mice with Distinct Susceptibilities to Diet-Influenced Diseases ,. Journal of Nutrition. 127(4). 566–573. 51 indexed citations
20.
Mangian, Heather, et al.. (1996). Temporal-Regulation of Serum Lipids and Stearoyl CoA Desaturase and Lipoprotein Lipase mRNA in BALB/cHnn Mice. Journal of Nutrition. 126(11). 2730–2737. 11 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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