T. B. Whitaker

3.2k total citations
133 papers, 2.2k citations indexed

About

T. B. Whitaker is a scholar working on Plant Science, Food Science and Biotechnology. According to data from OpenAlex, T. B. Whitaker has authored 133 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Plant Science, 46 papers in Food Science and 25 papers in Biotechnology. Recurrent topics in T. B. Whitaker's work include Mycotoxins in Agriculture and Food (84 papers), Pesticide Residue Analysis and Safety (34 papers) and Peanut Plant Research Studies (32 papers). T. B. Whitaker is often cited by papers focused on Mycotoxins in Agriculture and Food (84 papers), Pesticide Residue Analysis and Safety (34 papers) and Peanut Plant Research Studies (32 papers). T. B. Whitaker collaborates with scholars based in United States, Brazil and Austria. T. B. Whitaker's co-authors include J. W. Dickens, Andrew B. Slate, Francis G. Giesbrecht, R. J. Monroe, Winston M. Hagler, F. G. Giesbrecht, Chris M. Maragos, Michele Solfrizzo, Franz Berthiller and Rudolf Krska and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biometrics and Journal of Environmental Quality.

In The Last Decade

T. B. Whitaker

127 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. B. Whitaker United States 27 1.7k 714 332 222 216 133 2.2k
Mary W Trucksess United States 36 3.1k 1.8× 1.3k 1.8× 569 1.7× 257 1.2× 573 2.7× 161 4.1k
Manfred Gareis Germany 32 1.8k 1.1× 625 0.9× 224 0.7× 64 0.3× 814 3.8× 136 3.1k
Odette L Shotwell United States 30 2.7k 1.6× 551 0.8× 269 0.8× 93 0.4× 492 2.3× 127 3.4k
Z. Kozakiewicz United Kingdom 27 2.0k 1.2× 400 0.6× 237 0.7× 71 0.3× 418 1.9× 61 2.6k
V. M. Scussel Brazil 25 1.3k 0.7× 458 0.6× 239 0.7× 97 0.4× 189 0.9× 145 1.8k
Susanne Jacobsen Denmark 29 963 0.6× 357 0.5× 176 0.5× 149 0.7× 1.1k 5.0× 65 2.5k
Dojin Ryu United States 25 1.7k 1.0× 480 0.7× 278 0.8× 85 0.4× 406 1.9× 62 2.2k
Maren A. Klich United States 15 1.7k 1.0× 328 0.5× 260 0.8× 41 0.2× 536 2.5× 26 2.5k
Richard H. Bailey United States 26 682 0.4× 843 1.2× 378 1.1× 39 0.2× 235 1.1× 67 2.0k
Yoshitsugu Sugiura Japan 19 1.6k 1.0× 316 0.4× 104 0.3× 48 0.2× 200 0.9× 52 1.8k

Countries citing papers authored by T. B. Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by T. B. Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. B. Whitaker

This figure shows the co-authorship network connecting the top 25 collaborators of T. B. Whitaker. A scholar is included among the top collaborators of T. B. Whitaker 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 T. B. Whitaker. T. B. Whitaker 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.
Tittlemier, Sheryl A. & T. B. Whitaker. (2023). Current sampling plans can introduce high variance in mycotoxin testing results as demonstrated by the online FAO Mycotoxin Sampling Tool. World Mycotoxin Journal. 16(2). 115–126. 5 indexed citations
2.
Sharma, Girdhari M., Shizhen Wang, Marion Pereira, et al.. (2021). Sampling plan designs for gluten estimation in oat flour by discrete and composite sampling. Food Control. 129. 107943–107943. 5 indexed citations
3.
Shephard, Gordon S., Franz Berthiller, P. A. Burdaspal, et al.. (2012). Developments in mycotoxin analysis: an update for 2010-2011. World Mycotoxin Journal. 5(1). 3–30. 79 indexed citations
4.
Vargas, Eugênia Azevedo, et al.. (2011). Determination of aflatoxin risk components for in-shell Brazil nuts. Food Additives & Contaminants Part A. 28(9). 1242–1260. 10 indexed citations
5.
Whitaker, T. B., et al.. (2010). Correlation Between Aflatoxin Contamination and Various USDA Grade Categories of Shelled Almonds. Journal of AOAC International. 93(3). 943–947. 16 indexed citations
6.
Whitaker, T. B., Mary W Trucksess, Carol M. Weaver, & Andrew B. Slate. (2009). Sampling and analytical variability associated with the determination of aflatoxins and ochratoxin A in bulk lots of powdered ginger marketed in 1-lb bags. Analytical and Bioanalytical Chemistry. 395(5). 1291–1299. 21 indexed citations
7.
Park, Douglas L., et al.. (2007). Determining the Variability Associated with Testing Shelled Corn for Aflatoxin Using Different Analytical Procedures in Louisiana in 1998. Journal of AOAC International. 90(4). 1036–1041. 3 indexed citations
8.
Whitaker, T. B.. (2005). Sampling Foods for Mycotoxins. Food Additives & Contaminants. 23(1). 50–61. 110 indexed citations
9.
Vargas, Eugênia Azevedo, et al.. (2005). Design of a sampling plan to detect ochratoxin A in green coffee. Food Additives & Contaminants. 23(1). 62–72. 7 indexed citations
10.
Whitaker, T. B., et al.. (2005). Sampling Uncertainties for the Detection of Chemical Agents in Complex Food Matrices. Journal of Food Protection. 68(6). 1306–1313. 22 indexed citations
11.
Whitaker, T. B., et al.. (2005). Sampling feeds for mycotoxin analysis.. 1–23. 16 indexed citations
12.
Whitaker, T. B.. (2003). Sampling Techniques. Humana Press eBooks. 157. 11–24. 2 indexed citations
13.
Whitaker, T. B.. (2003). Detecting Mycotoxins in Agricultural Commodities. Molecular Biotechnology. 23(1). 61–72. 36 indexed citations
14.
Whitaker, T. B., et al.. (2002). Sampling Wheat for Deoxynivalenol. Advances in experimental medicine and biology. 504. 73–83. 7 indexed citations
15.
Whitaker, T. B.. (1999). Mirrors of Our Playing. University of Michigan Press eBooks. 1 indexed citations
16.
McClure, W. Fred, et al.. (1997). Applying Artificial Neural Networks: Part II. Using near Infrared Data to Classify Tobacco Types and Identify Native Grown Tobacco. Journal of Near Infrared Spectroscopy. 5(1). 19–25. 23 indexed citations
17.
Young, Jerry H., T. B. Whitaker, P. D. Blankenship, et al.. (1982). Effect of Oven Drying Time on Peanut Moisture Determination. Transactions of the ASAE. 25(2). 491–496. 26 indexed citations
18.
Dickens, J. W., T. B. Whitaker, & W. Fred McClure. (1980). Densitometric equipment for rapid quantitation of aflatoxins on thin layer chromatograms 1. Journal of the American Oil Chemists Society. 57(7). 205–208. 13 indexed citations
19.
Whitaker, T. B., et al.. (1972). Comparison of the observed distribution of aflatoxin in shelled peanuts to the negative binomial distribution. Journal of the American Oil Chemists Society. 49(10). 590–593. 47 indexed citations
20.
Bohn, G. W., et al.. (1965). Campo and Jacumba: New cantaloupe varieties for the southwest. California Agriculture. 19(7). 8–10. 3 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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