James M. Harnly

13.1k total citations
183 papers, 6.6k citations indexed

About

James M. Harnly is a scholar working on Analytical Chemistry, Molecular Biology and Biochemistry. According to data from OpenAlex, James M. Harnly has authored 183 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Analytical Chemistry, 50 papers in Molecular Biology and 40 papers in Biochemistry. Recurrent topics in James M. Harnly's work include Analytical chemistry methods development (50 papers), Phytochemicals and Antioxidant Activities (39 papers) and Electrochemical Analysis and Applications (26 papers). James M. Harnly is often cited by papers focused on Analytical chemistry methods development (50 papers), Phytochemicals and Antioxidant Activities (39 papers) and Electrochemical Analysis and Applications (26 papers). James M. Harnly collaborates with scholars based in United States, China and United Kingdom. James M. Harnly's co-authors include Long-Ze Lin, Pei Chen, T. C. O′Haver, Jianghao Sun, Devanand L. Luthria, Gary R. Beecher, Seema Bhagwat, Joanne M. Holden, David B. Haytowitz and Susan E. Gebhardt and has published in prestigious journals such as Analytical Chemistry, American Journal of Clinical Nutrition and Journal of Agricultural and Food Chemistry.

In The Last Decade

James M. Harnly

178 papers receiving 6.1k citations

Peers

James M. Harnly
James M. Harnly
Citations per year, relative to James M. Harnly James M. Harnly (= 1×) peers Yuangang Zu

Countries citing papers authored by James M. Harnly

Since Specialization
Citations

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

Fields of papers citing papers by James M. Harnly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Harnly. 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 James M. Harnly. The network helps show where James M. Harnly may publish in the future.

Co-authorship network of co-authors of James M. Harnly

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Harnly. A scholar is included among the top collaborators of James M. Harnly 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 James M. Harnly. James M. Harnly 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.
Wang, Xiaojuan, et al.. (2025). An HPLC-MS-Based Method for Determination of the D- and L- 5-Methyltetrahydrofolate Isomer Ratio in Dietary Supplements. Journal of AOAC International. 109(2). 154–162.
2.
Harnly, James M.. (2025). One-class modeling for verification of botanical identity: a review. Frontiers in Pharmacology. 16. 1504230–1504230.
3.
Li, Yanfang, Mengliang Zhang, Pamela Pehrsson, et al.. (2024). A Fast and Simple Solid Phase Extraction-Based Method for Glucosinolate Determination: An Alternative to the ISO-9167 Method. Foods. 13(5). 650–650. 2 indexed citations
4.
Yang, Xin, Ning Zhang, Pei Chen, et al.. (2024). Study of UV–Vis molar absorptivity variation and quantitation of anthocyanins using molar relative response factor. Food Chemistry. 444. 138653–138653. 8 indexed citations
5.
Harnly, James M. & Roy Upton. (2023). Variation in Botanical Reference Materials: Similarity of Actaea Racemosa Analyzed by Flow Injection Mass Spectrometry. Journal of AOAC International. 107(2). 332–344. 2 indexed citations
6.
Durazzo, Alessandra, Barbara C. Sorkin, Massimo Lucarini, et al.. (2022). Analytical Challenges and Metrological Approaches to Ensuring Dietary Supplement Quality: International Perspectives. Frontiers in Pharmacology. 12. 714434–714434. 24 indexed citations
7.
Picklo, Matthew J., K. F. Kalscheur, Andrew D. Magnuson, et al.. (2022). Identification of High and Low Branched-Chain Fatty Acid–Producing Phenotypes in Holstein Cows following High-Forage and Low-Forage Diets in a Crossover Designed Trial. Current Developments in Nutrition. 6(2). nzab154–nzab154. 5 indexed citations
8.
Fukagawa, Naomi K., et al.. (2021). USDA’s FoodData Central: what is it and why is it needed today?. American Journal of Clinical Nutrition. 115(3). 619–624. 35 indexed citations
9.
Harnly, James M., et al.. (2018). Chemical and genetic characterization of Maca (Lepidium meyenii). Planta Medica International Open. 2 indexed citations
10.
John, K.M. Maria, James M. Harnly, & Devanand L. Luthria. (2017). Influence of direct and sequential extraction methodology on metabolic profiling. Journal of Chromatography B. 1073. 34–42. 20 indexed citations
11.
Harnly, James M.. (2016). Importance of Accurate Measurements in Nutrition Research: Dietary Flavonoids as a Case Study. Advances in Nutrition. 7(2). 375–382. 9 indexed citations
12.
Balentine, Douglas A., Johanna Dwyer, John W. Erdman, et al.. (2015). Recommendations on reporting requirements for flavonoids in research. American Journal of Clinical Nutrition. 101(6). 1113–1125. 75 indexed citations
13.
Cross, Amanda J., James M. Harnly, Leah M. Ferrucci, et al.. (2012). Developing a Heme Iron Database for Meats According to Meat Type, Cooking Method and Doneness Level. Food and Nutrition Sciences. 3(7). 905–913. 63 indexed citations
14.
Lin, Long‐Ze, James M. Harnly, & Roy Upton. (2009). Comparison of the phenolic component profiles of skullcap (Scutellaria lateriflora) and germander (Teucrium canadense and T. chamaedrys), a potentially hepatotoxic adulterant. Phytochemical Analysis. 20(4). 298–306. 30 indexed citations
15.
Harnly, James M., et al.. (2008). Ultraviolet spectral fingerprints: a simple approach for classification of bean cultivars.. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 51. 134–135. 1 indexed citations
16.
Beecher, Gary R., Kent K. Stewart, Joanne M. Holden, James M. Harnly, & Wayne R. Wolf. (2008). Legacy of Wilbur O. Atwater: Human Nutrition Research Expansion at the USDA–Interagency Development of Food Composition Research. Journal of Nutrition. 139(1). 178–184. 11 indexed citations
17.
Erdman, John W., Douglas A. Balentine, Lenore Arab, et al.. (2007). Flavonoids and Heart Health: Proceedings of the ILSI North America Flavonoids Workshop, May 31–June 1, 2005, Washington, DC1, , ,. Journal of Nutrition. 137(3). 718S–737S. 281 indexed citations
18.
Lin, Long-Ze, Sudarsan Mukhopadhyay, Rebecca J. Robbins, & James M. Harnly. (2007). Identification and quantification of flavonoids of Mexican oregano (Lippia graveolens) by LC-DAD-ESI/MS analysis. Journal of Food Composition and Analysis. 20(5). 361–369. 144 indexed citations
19.
Dwyer, Johanna, Mary Frances Picciano, Joseph M. Betz, et al.. (2005). Progress in development of an integrated dietary supplement ingredient database at the NIH Office of Dietary Supplements. Journal of Food Composition and Analysis. 19. S108–S114. 25 indexed citations
20.
Harnly, James M.. (1978). A high-speed background corrected, simultaneous multielement atomic absorption spectrometer. PhDT. 1 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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