Mathew A. Wallig

1.3k total citations
8 papers, 1.0k citations indexed

About

Mathew A. Wallig is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Mathew A. Wallig has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Biochemistry. Recurrent topics in Mathew A. Wallig's work include Genomics, phytochemicals, and oxidative stress (4 papers), Moringa oleifera research and applications (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). Mathew A. Wallig is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (4 papers), Moringa oleifera research and applications (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). Mathew A. Wallig collaborates with scholars based in United States. Mathew A. Wallig's co-authors include John A. Juvik, Barbara P. Klein, Mosbah M. Kushad, Elizabeth H. Jeffery, Allan Brown, Anne C. Kurilich, Joshua A. Bomser, Keith W. Singletary, M. A. Smith and Gad G. Yousef and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Cancer Letters and Journal of Food Science.

In The Last Decade

Mathew A. Wallig

8 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathew A. Wallig United States	6	703	457	383	242	112	8	1.0k
Magnor Hansen Norway	11	634 0.9×	567 1.2×	310 0.8×	135 0.6×	118 1.1×	15	983
Klaus Peter Latté Germany	14	390 0.6×	341 0.7×	229 0.6×	70 0.3×	87 0.8×	28	844
Shaoping Fu China	17	302 0.4×	342 0.7×	198 0.5×	143 0.6×	117 1.0×	41	858
Nurgün Erdemoğlu Türkiye	16	334 0.5×	410 0.9×	175 0.5×	81 0.3×	69 0.6×	29	872
Claudio Mastellone Italy	12	239 0.3×	285 0.6×	341 0.9×	62 0.3×	63 0.6×	12	681
Masazumi Miyakoshi Japan	17	629 0.9×	252 0.6×	97 0.3×	53 0.2×	76 0.7×	27	852
Hayet Edziri Tunisia	20	268 0.4×	386 0.8×	205 0.5×	182 0.8×	33 0.3×	51	938
Danny L. Barney United States	12	200 0.3×	353 0.8×	333 0.9×	43 0.2×	65 0.6×	27	759
Andrew J. Kirby United Kingdom	6	199 0.3×	304 0.7×	251 0.7×	63 0.3×	317 2.8×	7	733
Moustapha Bah Mexico	17	276 0.4×	252 0.6×	84 0.2×	101 0.4×	40 0.4×	38	676

Countries citing papers authored by Mathew A. Wallig

Since Specialization

Citations

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

Fields of papers citing papers by Mathew A. Wallig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew A. Wallig. 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 Mathew A. Wallig. The network helps show where Mathew A. Wallig may publish in the future.

Co-authorship network of co-authors of Mathew A. Wallig

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew A. Wallig. A scholar is included among the top collaborators of Mathew A. Wallig 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 Mathew A. Wallig. Mathew A. Wallig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Walsh, Timothy, Luis R. Padilla, Amy L. MacNeill, et al.. (2016). Histologic and Immunohistochemical Characterization of Pheochromocytomas in 20 Clouded Leopards (Neofelis nebulosa). Veterinary Pathology. 54(2). 269–276. 4 indexed citations

Woods, Jeffrey A., et al.. (2013). 64. Forced treadmill exercise training exacerbates inflammation and causes mortality while voluntary wheel training is protective in a mouse model of colitis. Brain Behavior and Immunity. 32. e19–e19. 4 indexed citations

Kitchell, Barbara E., et al.. (2007). The cloning and expression of matrix metalloproteinase-2 and tissue inhibitor of matrix metalloproteinase 2 in normal canine lymph nodes and in canine lymphoma. Research in Veterinary Science. 84(2). 206–214. 5 indexed citations

Hwang, Baik, John A. Juvik, Elizabeth H. Jeffery, et al.. (2003). Relating Glucosinolate Content and Flavor of Broccoli Cultivars. Journal of Food Science. 68(3). 1043–1050. 66 indexed citations

Brown, Allan, Gad G. Yousef, Elizabeth H. Jeffery, et al.. (2002). Glucosinolate Profiles in Broccoli: Variation in Levels and Implications in Breeding for Cancer Chemoprotection. Journal of the American Society for Horticultural Science. 127(5). 807–813. 127 indexed citations

Bomser, Joshua A., Keith W. Singletary, Mathew A. Wallig, & M. A. Smith. (1999). Inhibition of TPA-induced tumor promotion in CD-1 mouse epidermis by a polyphenolic fraction from grape seeds. Cancer Letters. 135(2). 151–157. 105 indexed citations

Kushad, Mosbah M., Allan Brown, Anne C. Kurilich, et al.. (1999). Variation of Glucosinolates in Vegetable Crops of Brassica oleracea. Journal of Agricultural and Food Chemistry. 47(4). 1541–1548. 479 indexed citations

Kurilich, Anne C., Allan Brown, Barbara P. Klein, et al.. (1999). Carotene, Tocopherol, and Ascorbate Contents in Subspecies ofBrassica oleracea. Journal of Agricultural and Food Chemistry. 47(4). 1576–1581. 237 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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