James D. Cook

8.0k total citations · 3 hit papers
76 papers, 6.3k citations indexed

About

James D. Cook is a scholar working on Hematology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, James D. Cook has authored 76 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Hematology, 28 papers in Genetics and 14 papers in Nutrition and Dietetics. Recurrent topics in James D. Cook's work include Iron Metabolism and Disorders (59 papers), Hemoglobinopathies and Related Disorders (28 papers) and Plant Micronutrient Interactions and Effects (11 papers). James D. Cook is often cited by papers focused on Iron Metabolism and Disorders (59 papers), Hemoglobinopathies and Related Disorders (28 papers) and Plant Micronutrient Interactions and Effects (11 papers). James D. Cook collaborates with scholars based in United States, Switzerland and Canada. James D. Cook's co-authors include Clement A. Finch, David A. Lipschitz, Barry Skikne, Richard F. Hurrell, Carol H. Flowers, Sean Lynch, Manju B. Reddy, Laughton E. Miles, Manju Reddy and C.W. Flowers and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Blood.

In The Last Decade

James D. Cook

76 papers receiving 5.8k citations

Hit Papers

A Clinical Evaluation of Serum Ferritin as an Index of Ir... 1974 2026 1991 2008 1974 2003 1974 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Cook United States 43 4.4k 2.4k 2.0k 912 702 76 6.3k
Sean Lynch United States 38 2.5k 0.6× 1.9k 0.8× 731 0.4× 1.1k 1.2× 386 0.5× 73 4.3k
R. W. Charlton South Africa 36 2.4k 0.6× 1.5k 0.7× 933 0.5× 912 1.0× 364 0.5× 70 4.3k
Mats Brune Sweden 42 3.2k 0.7× 1.5k 0.6× 683 0.3× 1.3k 1.4× 453 0.6× 117 6.4k
J D Cook United States 27 2.5k 0.6× 1.1k 0.5× 1.1k 0.6× 709 0.8× 294 0.4× 50 3.6k
JD Cook United States 21 2.2k 0.5× 1.1k 0.5× 1.0k 0.5× 562 0.6× 289 0.4× 31 3.0k
Diego Moretti Switzerland 30 2.0k 0.5× 1.5k 0.6× 817 0.4× 454 0.5× 232 0.3× 92 3.3k
Eliezer A. Rachmilewitz Israel 44 4.6k 1.0× 828 0.4× 5.1k 2.6× 154 0.2× 319 0.5× 169 7.7k
Bjarne Østerud Norway 47 2.9k 0.7× 709 0.3× 892 0.4× 77 0.1× 163 0.2× 198 6.8k
Rune J. Ulvik Norway 30 826 0.2× 934 0.4× 400 0.2× 133 0.1× 135 0.2× 90 2.8k
Thomas Sonnweber Austria 28 1.4k 0.3× 728 0.3× 813 0.4× 80 0.1× 114 0.2× 54 3.2k

Countries citing papers authored by James D. Cook

Since Specialization
Citations

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

Fields of papers citing papers by James D. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James D. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Cook. A scholar is included among the top collaborators of James D. Cook 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 D. Cook. James D. Cook 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.
McLaren, Christine E., Stela McLachlan, Chad Garner, et al.. (2012). Associations between Single Nucleotide Polymorphisms in Iron-Related Genes and Iron Status in Multiethnic Populations. PLoS ONE. 7(6). e38339–e38339. 43 indexed citations
2.
Cogswell, Mary E., Anne C. Looker, Christine M Pfeiffer, et al.. (2009). Assessment of iron deficiency in US preschool children and nonpregnant females of childbearing age: National Health and Nutrition Examination Survey 2003–2006. American Journal of Clinical Nutrition. 89(5). 1334–1342. 164 indexed citations
3.
Hurrell, Richard F., Manju B. Reddy, Marcel A. Juillerat, & James D. Cook. (2006). Meat Protein Fractions Enhance Nonheme Iron Absorption in Humans. Journal of Nutrition. 136(11). 2808–2812. 94 indexed citations
4.
Reddy, Manju B., Richard F. Hurrell, & James D. Cook. (2006). Meat Consumption in a Varied Diet Marginally Influences Nonheme Iron Absorption in Normal Individuals. Journal of Nutrition. 136(3). 576–581. 48 indexed citations
5.
Cook, James D., et al.. (2005). The influence of high-altitude living on body iron. Blood. 106(4). 1441–1446. 75 indexed citations
7.
Reddy, Pavan S., et al.. (2004). Rituximab in the treatment of relapsed thrombotic thrombocytopenic purpura. Annals of Hematology. 84(4). 232–235. 54 indexed citations
8.
Beutler, Ernest, A. Victor Hoffbrand, & James D. Cook. (2003). Iron Deficiency and Overload. Hematology. 2003(1). 40–61. 169 indexed citations
9.
Virtanen, Martti, Raija Anttila, Tom Krusius, et al.. (1999). Higher concentrations of serum transferrin receptor in children than in adults. American Journal of Clinical Nutrition. 69(2). 256–260. 59 indexed citations
10.
Flowers, C.W., et al.. (1996). The Caco-2 Cell Culture System Can be Used as a Model to Study Food Iron Availability. Journal of Nutrition. 126(1). 251–258. 72 indexed citations
11.
Serjeant, Beryl E., et al.. (1996). Determinants of haemoglobin level in steady‐state homozygous sickle cell disease. British Journal of Haematology. 92(1). 143–149. 41 indexed citations
12.
Baynes, Roy D., James D. Cook, & James C. Keith. (1995). Interleukin‐11 enhances gastrointestinal absorption of iron in rats. British Journal of Haematology. 91(1). 230–233. 7 indexed citations
13.
Reddy, Manju B. & James D. Cook. (1994). Absorption of Nonheme Iron in Ascorbic Acid-Deficient Rats. Journal of Nutrition. 124(6). 882–887. 10 indexed citations
14.
Cook, James D., Roy D. Baynes, & Barry Skikne. (1994). The Physiological Significance of Circulating Transferrin Receptors. Advances in experimental medicine and biology. 352. 119–126. 29 indexed citations
15.
Baynes, Roy D., et al.. (1994). Serum transferrin receptor in hereditary hemochromatosis and African siderosis. American Journal of Hematology. 45(4). 288–292. 15 indexed citations
16.
Trowbridge, Frederick L., Suzanne Harris, James D. Cook, et al.. (1993). Coordinated Strategies for Controlling Micronutrient Malnutrition: A Technical Workshop. Journal of Nutrition. 123(4). 773–786. 30 indexed citations
17.
Hurrell, Richard F., Manju B. Reddy, Sandra A. Dassenko, James D. Cook, & David M. Shepherd. (1991). Ferrous fumarate fortification of a chocolate drink powder. British Journal Of Nutrition. 65(2). 271–283. 61 indexed citations
18.
Lynch, Sean, et al.. (1988). Iron absorption from fortified flat breads. British Journal Of Nutrition. 59(2). 205–213. 34 indexed citations
19.
Cook, James D., et al.. (1988). Interaction of acidic isoferritins with human promyelocytic HL60 cells. British Journal of Haematology. 69(4). 559–563. 22 indexed citations
20.
Cook, James D.. (1983). Determinants of nonheme iron absorption in man. Food technology. 37(10). 124–126. 33 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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