Mark Campbell

1.3k total citations
27 papers, 974 citations indexed

About

Mark Campbell is a scholar working on Nutrition and Dietetics, Plant Science and Biomedical Engineering. According to data from OpenAlex, Mark Campbell has authored 27 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nutrition and Dietetics, 13 papers in Plant Science and 11 papers in Biomedical Engineering. Recurrent topics in Mark Campbell's work include Food composition and properties (25 papers), Biofuel production and bioconversion (11 papers) and Phytase and its Applications (5 papers). Mark Campbell is often cited by papers focused on Food composition and properties (25 papers), Biofuel production and bioconversion (11 papers) and Phytase and its Applications (5 papers). Mark Campbell collaborates with scholars based in United States, China and Canada. Mark Campbell's co-authors include Jay‐lin Jane, Hongxin Jiang, Michael Blanco, Li Li, D. V. Glover, Pamela J. White, Linda M. Pollak, Sathaporn Srichuwong, Harry T. Horner and Paul A. Seib and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Carbohydrate Polymers and Journal of Food Science.

In The Last Decade

Mark Campbell

26 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Campbell United States 16 774 398 370 238 63 27 974
Margrit Martin Australia 8 792 1.0× 610 1.5× 450 1.2× 54 0.2× 37 0.6× 8 1.1k
Cassandra M. McDonough United States 16 593 0.8× 280 0.7× 424 1.1× 65 0.3× 35 0.6× 26 894
A. D. Evers United Kingdom 17 610 0.8× 572 1.4× 269 0.7× 51 0.2× 61 1.0× 27 995
Dongwei Guo China 18 822 1.1× 470 1.2× 484 1.3× 150 0.6× 89 1.4× 51 1.1k
G. L. Rubenthaler United States 20 587 0.8× 641 1.6× 315 0.9× 40 0.2× 49 0.8× 48 1.1k
G.E. Vandeputte Belgium 10 1.2k 1.5× 513 1.3× 745 2.0× 99 0.4× 24 0.4× 12 1.3k
Xurun Yu China 18 377 0.5× 635 1.6× 171 0.5× 54 0.2× 120 1.9× 49 843
Srigopal Sharma India 13 355 0.5× 448 1.1× 188 0.5× 43 0.2× 66 1.0× 24 750
Kanenori Takata Japan 16 297 0.4× 499 1.3× 144 0.4× 31 0.1× 54 0.9× 63 689
K. F. Finney United States 15 578 0.7× 537 1.3× 349 0.9× 37 0.2× 57 0.9× 45 1.0k

Countries citing papers authored by Mark Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Mark Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Campbell. A scholar is included among the top collaborators of Mark Campbell 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 Mark Campbell. Mark Campbell 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.
Li, Li, Hongxin Jiang, Hyun Jung Kim, et al.. (2015). Increased Butyrate Production During Long‐Term Fermentation of In Vitro‐ Digested High Amylose Cornstarch Residues with Human Feces. Journal of Food Science. 80(9). M1997–2004. 8 indexed citations
2.
3.
Jiang, Hongxin, et al.. (2014). Dosage Effect of High-Amylose Modifier Gene(s) on the Starch Structure of Maize amylose-extender Mutant. Journal of Agricultural and Food Chemistry. 63(2). 433–439. 7 indexed citations
4.
Méndez‐Montealvo, Guadalupe, Ya‐Jane Wang, & Mark Campbell. (2010). Thermal and rheological properties of granular waxy maize mutant starches after β-amylase modification. Carbohydrate Polymers. 83(3). 1106–1111. 26 indexed citations
5.
Jiang, Hongxin, et al.. (2010). Resistant-Starch Formation in High-Amylose Maize Starch during Kernel Development. Journal of Agricultural and Food Chemistry. 58(13). 8043–8047. 71 indexed citations
6.
Jiang, Hongxin, et al.. (2008). A Simplified Isolation of High‐Amylose Maize Starch Using Neutral Proteases. Starch - Stärke. 60(11). 601–608. 7 indexed citations
7.
Li, Li, Hongxin Jiang, Mark Campbell, Michael Blanco, & Jay‐lin Jane. (2008). Characterization of maize amylose-extender (ae) mutant starches. Part I: Relationship between resistant starch contents and molecular structures. Carbohydrate Polymers. 74(3). 396–404. 224 indexed citations
8.
9.
Campbell, Mark, et al.. (2007). Registration of Maize Germplasm Line GEMS‐0067. Journal of Plant Registrations. 1(1). 60–61. 26 indexed citations
10.
Wu, Xiaorong, Renyong Zhao, D. Wang, et al.. (2006). Effects of Amylose, Corn Protein, and Corn Fiber Contents on Production of Ethanol from Starch‐Rich Media. Cereal Chemistry. 83(5). 569–575. 80 indexed citations
11.
Polaske, Nathan W., et al.. (2005). Amylose Determination of Native High‐Amylose Corn Starches by Differential Scanning Calorimetry. Starch - Stärke. 57(3-4). 118–123. 9 indexed citations
12.
Campbell, Mark, et al.. (2002). Comparison of Methods for Amylose Screening Among Amylose‐Extender (ae) Maize Starches from Exotic Backgrounds. Cereal Chemistry. 79(2). 317–321. 9 indexed citations
13.
Gutiérrez, Osman A., Mark Campbell, & D. V. Glover. (2002). Starch Particle Volume in Single‐ and Double‐Mutant Maize Endosperm Genotypes Involving the Soft Starch (h) Gene. Crop Science. 42(2). 355–359. 12 indexed citations
14.
Gutiérrez, Osman A., Mark Campbell, & D. V. Glover. (2002). Starch Particle Volume in Single- and Double-Mutant Maize Endosperm Genotypes Involving the Soft Starch () Gene. Crop Science. 42(2). 355–355. 3 indexed citations
15.
Campbell, Mark, J. F. Sykes, & D. V. Glover. (2000). Classification of Single‐ and Double‐Mutant Corn Endosperm Genotypes by Near‐Infrared Transmittance Spectroscopy. Cereal Chemistry. 77(6). 774–778. 26 indexed citations
16.
Campbell, Mark, et al.. (1999). Prediction of Starch Amylose Content Versus Total Grain Amylose Content in Corn by Near‐Infrared Transmittance Spectroscopy. Cereal Chemistry. 76(4). 552–557. 26 indexed citations
17.
Campbell, Mark, Thomas J. Brumm, & D. V. Glover. (1997). Whole Grain Amylose Analysis in Maize Using Near‐Infrared Transmittance Spectroscopy. Cereal Chemistry. 74(3). 300–303. 16 indexed citations
18.
Campbell, Mark, et al.. (1996). Interaction of Two Sugary‐1 Alleles (su1 and su1st) with Sugary‐2 (su2) on Characteristics of Maize Starch. Starch - Stärke. 48(11-12). 391–395. 4 indexed citations
19.
Campbell, Mark, Linda M. Pollak, & Pamela J. White. (1995). Genetic Variation for Starch Thermal and Functional Properties Among Nonmutant Maize Inbreds. Iowa State University Digital Repository (Iowa State University). 72(3). 281–286. 16 indexed citations
20.
Campbell, Mark, Pamela J. White, & Linda M. Pollak. (1995). Properties of sugary-2 maize starch : influence of exotic background. Iowa State University Digital Repository (Iowa State University). 72(4). 389–392. 12 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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