Alan M. Diamond

5.4k total citations
115 papers, 4.0k citations indexed

About

Alan M. Diamond is a scholar working on Nutrition and Dietetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Alan M. Diamond has authored 115 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Nutrition and Dietetics, 55 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Alan M. Diamond's work include Selenium in Biological Systems (58 papers), Trace Elements in Health (37 papers) and Glutathione Transferases and Polymorphisms (21 papers). Alan M. Diamond is often cited by papers focused on Selenium in Biological Systems (58 papers), Trace Elements in Health (37 papers) and Glutathione Transferases and Polymorphisms (21 papers). Alan M. Diamond collaborates with scholars based in United States, China and South Korea. Alan M. Diamond's co-authors include Dolph L. Hatfield, Ya Jun Hu, B. Dudock, Veda Diwadkar‐Navsariwala, Dede N. Ekoue, Geoffrey M. Cooper, Wancai Yang, Marcelo G. Bonini, M A Beckett and R.R. Weichselbaum and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Alan M. Diamond

114 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan M. Diamond United States 37 1.9k 1.8k 565 330 292 115 4.0k
Robert E. Fleming United States 39 3.0k 1.6× 1.1k 0.6× 227 0.4× 275 0.8× 164 0.6× 94 5.8k
Z. Ioav Cabantchik Israel 46 2.6k 1.4× 1.8k 1.0× 358 0.6× 270 0.8× 393 1.3× 82 7.5k
Adrian Bomford United Kingdom 38 2.8k 1.5× 1.0k 0.6× 346 0.6× 140 0.4× 289 1.0× 109 5.9k
Robert S. Britton United States 44 3.3k 1.8× 957 0.5× 376 0.7× 185 0.6× 329 1.1× 106 6.6k
Jay N. Umbreit United States 29 999 0.5× 863 0.5× 370 0.7× 102 0.3× 435 1.5× 49 3.0k
Maria Marjorette O. Peña United States 29 1.1k 0.6× 1.3k 0.7× 570 1.0× 228 0.7× 916 3.1× 39 3.5k
James Koropatnick Canada 36 1.0k 0.6× 1.7k 1.0× 831 1.5× 585 1.8× 1.1k 3.6× 122 4.2k
V. Nathan Subramaniam Australia 39 1.7k 0.9× 1.2k 0.7× 105 0.2× 143 0.4× 229 0.8× 138 4.5k
Donita C. Brady United States 25 948 0.5× 1.3k 0.7× 242 0.4× 383 1.2× 723 2.5× 39 2.7k
Mukta M. Webber United States 31 467 0.2× 1.3k 0.8× 649 1.1× 454 1.4× 645 2.2× 76 3.1k

Countries citing papers authored by Alan M. Diamond

Since Specialization
Citations

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

Fields of papers citing papers by Alan M. Diamond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan M. Diamond

This figure shows the co-authorship network connecting the top 25 collaborators of Alan M. Diamond. A scholar is included among the top collaborators of Alan M. Diamond 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 Alan M. Diamond. Alan M. Diamond 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.
Horneman, Hart, Don Lavelle, Alan M. Diamond, et al.. (2023). Reticulocyte mitochondrial retention increases reactive oxygen species and oxygen consumption in mouse models of sickle cell disease and phlebotomy-induced anemia. Experimental Hematology. 122. 55–62. 13 indexed citations
2.
Diamond, Alan M., et al.. (2023). Distinct Roles of SELENOF in Different Human Cancers. Biomolecules. 13(3). 486–486. 7 indexed citations
3.
Bera, Soumen, Waleed Ali, John Brockman, et al.. (2023). Regulation of SELENOF translation by eIF4a3: Possible role in prostate cancer progression. Molecular Carcinogenesis. 62(12). 1803–1816. 2 indexed citations
4.
Bera, Soumen & Alan M. Diamond. (2022). Role of SELENBP1 and SELENOF in prostate cancer bioenergetics. Archives of Biochemistry and Biophysics. 732. 109451–109451. 4 indexed citations
5.
6.
Ekoue, Dede N., Chenxia He, Alan M. Diamond, & Marcelo G. Bonini. (2017). Manganese superoxide dismutase and glutathione peroxidase-1 contribute to the rise and fall of mitochondrial reactive oxygen species which drive oncogenesis. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1858(8). 628–632. 85 indexed citations
7.
Ansong, Emmanuel, Qi Ying, Dede N. Ekoue, et al.. (2015). Evidence That Selenium Binding Protein 1 Is a Tumor Suppressor in Prostate Cancer. PLoS ONE. 10(5). e0127295–e0127295. 28 indexed citations
8.
Bera, Soumen, Viviana De Rosa, Walid Rachidi, & Alan M. Diamond. (2012). Does a role for selenium in DNA damage repair explain apparent controversies in its use in chemoprevention?. Mutagenesis. 28(2). 127–134. 72 indexed citations
9.
Takata, Yumie, Alan R. Kristal, Irena B. King, et al.. (2011). Serum Selenium, Genetic Variation in Selenoenzymes, and Risk of Colorectal Cancer: Primary Analysis from the Women's Health Initiative Observational Study and Meta-analysis. Cancer Epidemiology Biomarkers & Prevention. 20(9). 1822–1830. 25 indexed citations
10.
Diamond, Alan M., et al.. (2010). Dietary supplements and human health: For better or for worse?. Molecular Nutrition & Food Research. 55(1). 122–135. 38 indexed citations
11.
Benya, Richard V., et al.. (2005). Allelic Loss of the Gene for the GPX1 Selenium-Containing Protein Is a Common Event in Cancer. Journal of Nutrition. 135(12). 3021S–3024S. 58 indexed citations
12.
Hu, Ya Jun, M. Eileen Dolan, Herman Yee, et al.. (2004). Allelic Loss at the GPx-1 Locus in Cancer of the Head and Neck. Biological Trace Element Research. 101(2). 97–106. 35 indexed citations
13.
Diwadkar‐Navsariwala, Veda & Alan M. Diamond. (2004). The Link between Selenium and Chemoprevention: A Case for Selenoproteins. Journal of Nutrition. 134(11). 2899–2902. 82 indexed citations
14.
Diamond, Alan M., et al.. (2004). A regulatory role for Sec tRNA[Ser]Sec in selenoprotein synthesis. RNA. 10(7). 1142–1152. 38 indexed citations
15.
Hornberger, Troy A., Thomas J. McLoughlin, Dustin Armstrong, et al.. (2003). Selenoprotein-Deficient Transgenic Mice Exhibit Enhanced Exercise-Induced Muscle Growth. Journal of Nutrition. 133(10). 3091–3097. 68 indexed citations
16.
Kumaraswamy, Easwari, Konstantin V. Korotkov, Sergei A. Kozyavkin, et al.. (2000). Structure-Expression Relationships of the 15-kDa Selenoprotein Gene. Journal of Biological Chemistry. 275(45). 35540–35547. 128 indexed citations
17.
Sandstrom, Paul, et al.. (1998). Antioxidant Defenses Influence HIV-1 Replication and Associated Cytopathic Effects. Free Radical Biology and Medicine. 24(9). 1485–1491. 42 indexed citations
18.
Kolker, James D., et al.. (1995). Sequence and unusual 3′ flanking region of the rat tRNA[Ser]Sec gene. Gene. 164(2). 375–376. 1 indexed citations
19.
Diamond, Alan M., et al.. (1992). A pseudogene for human glutathione peroxidase. Gene. 122(2). 377–380. 9 indexed citations
20.
Diamond, Alan M., et al.. (1989). Alterations in transformation efficiency by the ADPRT-inhibitor 3-aminobenzamide are oncogene specific. Carcinogenesis. 10(2). 383–385. 5 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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