Malcolm B. Lowry

1.0k total citations
16 papers, 820 citations indexed

About

Malcolm B. Lowry is a scholar working on Molecular Biology, Pharmacology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Malcolm B. Lowry has authored 16 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Malcolm B. Lowry's work include Hops Chemistry and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Ginseng Biological Effects and Applications (3 papers). Malcolm B. Lowry is often cited by papers focused on Hops Chemistry and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Ginseng Biological Effects and Applications (3 papers). Malcolm B. Lowry collaborates with scholars based in United States, Denmark and Singapore. Malcolm B. Lowry's co-authors include Adrian F. Gombart, Chunxiao Guo, Clifford A. Lowell, Anthony DeFranco, Mary T. Crowley, Cheryl Fitzer‐Attas, Fanying Meng, Alexander J. Finn, Clark L. Anderson and Anne‐Marie Duchemin and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and International Journal of Molecular Sciences.

In The Last Decade

Malcolm B. Lowry

16 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm B. Lowry United States 15 322 242 121 83 74 16 820
Masakazu Takahara Japan 17 319 1.0× 258 1.1× 106 0.9× 22 0.3× 23 0.3× 55 1.2k
Rebecca Martin United States 22 418 1.3× 416 1.7× 187 1.5× 39 0.5× 16 0.2× 68 1.3k
Erin Harberts United States 15 214 0.7× 317 1.3× 46 0.4× 52 0.6× 27 0.4× 32 835
Maria Morini Italy 17 218 0.7× 195 0.8× 145 1.2× 20 0.2× 31 0.4× 73 957
Ji-Sun Hwang South Korea 10 437 1.4× 217 0.9× 117 1.0× 33 0.4× 20 0.3× 11 882
G. Loison France 12 499 1.5× 546 2.3× 152 1.3× 81 1.0× 22 0.3× 16 1.3k
R.L. Warner United States 17 292 0.9× 483 2.0× 127 1.0× 57 0.7× 36 0.5× 24 1.2k
Koji Ohashi Japan 8 530 1.6× 905 3.7× 87 0.7× 23 0.3× 97 1.3× 14 1.4k
Yoshinori Shimamoto Japan 20 260 0.8× 567 2.3× 59 0.5× 30 0.4× 75 1.0× 93 1.3k

Countries citing papers authored by Malcolm B. Lowry

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm B. Lowry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm B. Lowry

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

All Works

16 of 16 papers shown
1.
Zhang, Yang, Gerd Bobe, Cristobal L. Miranda, et al.. (2021). Tetrahydroxanthohumol, a xanthohumol derivative, attenuates high-fat diet-induced hepatic steatosis by antagonizing PPARγ. eLife. 10. 12 indexed citations
2.
Shulzhenko, Natalia, Thomas J. Sharpton, Gerd Bobe, et al.. (2021). Xanthohumol Requires the Intestinal Microbiota to Improve Glucose Metabolism in Diet‐Induced Obese Mice. Molecular Nutrition & Food Research. 65(21). e2100389–e2100389. 16 indexed citations
3.
Lowry, Malcolm B., Sandra L. Uesugi, Alexander J. Michels, et al.. (2020). The Effect of a Multivitamin and Mineral Supplement on Immune Function in Healthy Older Adults: A Double-Blind, Randomized, Controlled Trial. Nutrients. 12(8). 2447–2447. 30 indexed citations
4.
Bobe, Gerd, Cristobal L. Miranda, Stephany Vasquez‐Perez, et al.. (2020). Germ-Free Swiss Webster Mice on a High-Fat Diet Develop Obesity, Hyperglycemia, and Dyslipidemia. Microorganisms. 8(4). 520–520. 21 indexed citations
5.
Zhang, Yang, Gerd Bobe, Johana S. Revel, et al.. (2019). Improvements in Metabolic Syndrome by Xanthohumol Derivatives Are Linked to Altered Gut Microbiota and Bile Acid Metabolism. Molecular Nutrition & Food Research. 64(1). e1900789–e1900789. 44 indexed citations
6.
Lowry, Malcolm B., Chunxiao Guo, Yang Zhang, et al.. (2019). A mouse model for vitamin D-induced human cathelicidin antimicrobial peptide gene expression. The Journal of Steroid Biochemistry and Molecular Biology. 198. 105552–105552. 28 indexed citations
7.
Miranda, Cristobal L., et al.. (2019). Antiproliferative and Cytotoxic Activity of Xanthohumol and Its Non-Estrogenic Derivatives in Colon and Hepatocellular Carcinoma Cell Lines. International Journal of Molecular Sciences. 20(5). 1203–1203. 40 indexed citations
8.
Lowry, Malcolm B., Chunxiao Guo, Niels Borregaard, & Adrian F. Gombart. (2014). Regulation of the human cathelicidin antimicrobial peptide gene by 1α,25-dihydroxyvitamin D3 in primary immune cells. The Journal of Steroid Biochemistry and Molecular Biology. 143. 183–191. 39 indexed citations
9.
10.
Guo, Chunxiao, et al.. (2013). Synergistic induction of human cathelicidin antimicrobial peptide gene expression by vitamin D and stilbenoids. Molecular Nutrition & Food Research. 58(3). 528–536. 48 indexed citations
11.
Guo, Chunxiao, et al.. (2012). Curcumin induces human cathelicidin antimicrobial peptide gene expression through a vitamin D receptor-independent pathway. The Journal of Nutritional Biochemistry. 24(5). 754–759. 51 indexed citations
12.
Turner, Russell T., Donald Β. Jump, Carmen P. Wong, et al.. (2009). Growth hormone regulates the balance between bone formation and bone marrow adiposity. Journal of Bone and Mineral Research. 25(4). 757–768. 113 indexed citations
13.
Lowry, Malcolm B., Sutada Lotinun, Alexey A. Leontovich, et al.. (2008). Osteitis Fibrosa Is Mediated by Platelet-Derived Growth Factor-A Via a Phosphoinositide 3-Kinase-Dependent Signaling Pathway in a Rat Model for Chronic Hyperparathyroidism. Endocrinology. 149(11). 5735–5746. 15 indexed citations
14.
Fitzer‐Attas, Cheryl, Malcolm B. Lowry, Mary T. Crowley, et al.. (2000). Fcγ Receptor–Mediated Phagocytosis in Macrophages Lacking the Src Family Tyrosine Kinases Hck, Fgr, and Lyn. The Journal of Experimental Medicine. 191(4). 669–682. 211 indexed citations
15.
Lowry, Malcolm B., Anne‐Marie Duchemin, K. Mark Coggeshall, John M. Robinson, & Clark L. Anderson. (1998). Chimeric Receptors Composed of Phosphoinositide 3-Kinase Domains and Fcγ Receptor Ligand-binding Domains Mediate Phagocytosis in COS Fibroblasts. Journal of Biological Chemistry. 273(38). 24513–24520. 35 indexed citations
16.
Lowry, Malcolm B., Anne‐Marie Duchemin, John M. Robinson, & Clark L. Anderson. (1998). Functional Separation of Pseudopod Extension and Particle Internalization during Fcγ Receptor–mediated Phagocytosis. The Journal of Experimental Medicine. 187(2). 161–176. 79 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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