J. C. Byrd

827 total citations
10 papers, 656 citations indexed

About

J. C. Byrd is a scholar working on Nutrition and Dietetics, Genetics and Molecular Biology. According to data from OpenAlex, J. C. Byrd has authored 10 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in J. C. Byrd's work include Trace Elements in Health (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). J. C. Byrd is often cited by papers focused on Trace Elements in Health (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). J. C. Byrd collaborates with scholars based in United States, India and Canada. J. C. Byrd's co-authors include Dennis R. Winge, Graham N. George, Dean H. Hamer, C F Wright, Geoffrey A. Land, Barry Harrison, Robert M. Berger, David R. McMillin, B. H. Cooper and Michael R. Grever and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Clinical Microbiology.

In The Last Decade

J. C. Byrd

10 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. C. Byrd United States	9	324	270	177	142	135	10	656
Julie Fuller United States	8	157 0.5×	113 0.4×	14 0.1×	191 1.3×	137 1.0×	19	538
Oriana Marques Germany	12	140 0.4×	17 0.1×	134 0.8×	84 0.6×	77 0.6×	28	574
Luc‐Matthieu Fornecker France	13	263 0.8×	231 0.9×	9 0.1×	102 0.7×	83 0.6×	37	537
Tokio Kaizu United States	14	61 0.2×	23 0.1×	52 0.3×	160 1.1×	46 0.3×	22	773
Benito G. Que United States	17	62 0.2×	15 0.1×	47 0.3×	61 0.4×	172 1.3×	21	809
Natalie Le Australia	3	66 0.2×	13 0.0×	98 0.6×	28 0.2×	102 0.8×	3	427
M.J. Kroos Netherlands	15	148 0.5×	9 0.0×	130 0.7×	57 0.4×	28 0.2×	33	533
Masahide Kobayashi Japan	9	47 0.1×	86 0.3×	25 0.1×	14 0.1×	38 0.3×	37	437
E. Tripp Australia	18	75 0.2×	21 0.1×	31 0.2×	56 0.4×	96 0.7×	26	664
Milan Wickerhauser United States	10	197 0.6×	58 0.2×	90 0.5×	61 0.4×	40 0.3×	23	481

Countries citing papers authored by J. C. Byrd

Since Specialization

Citations

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

Fields of papers citing papers by J. C. Byrd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Byrd. 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 J. C. Byrd. The network helps show where J. C. Byrd may publish in the future.

Co-authorship network of co-authors of J. C. Byrd

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

All Works

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10 of 10 papers shown

Byrd, J. C.. (2015). Introduction to a series of reviews on chronic lymphocytic leukemia. Blood. 126(4). 427–427. 7 indexed citations

Stephens, Deborah M., Kristie A. Blum, Jeffrey A. Jones, et al.. (2012). Flavopiridol treatment of patients aged 70 or older with refractory or relapsed chronic lymphocytic leukemia is a feasible and active therapeutic approach. Haematologica. 97(3). 423–427. 14 indexed citations

Blum, William, Mitch A. Phelps, Rebecca B. Klisovic, et al.. (2010). Phase I clinical and pharmacokinetic study of a novel schedule of flavopiridol in relapsed or refractory acute leukemias. Haematologica. 95(7). 1098–1105. 48 indexed citations

Byrd, J. C.. (2004). Addition of rituximab to fludarabine may prolong progression-free survival and overall survival in patients with previously untreated chronic lymphocytic leukemia: an updated retrospective comparative analysis of CALGB 9712 and CALGB 9011. Blood. 105(1). 49–53. 314 indexed citations

Byrd, J. C., et al.. (1988). Effect of mutation of cysteinyl residues in yeast Cu-metallothionein.. Journal of Biological Chemistry. 263(15). 7037–7042. 13 indexed citations

Byrd, J. C., Robert M. Berger, David R. McMillin, et al.. (1988). Characterization of the copper-thiolate cluster in yeast metallothionein and two truncated mutants.. Journal of Biological Chemistry. 263(14). 6688–6694. 80 indexed citations

George, Graham N., J. C. Byrd, & Dennis R. Winge. (1988). X-ray absorption studies of yeast copper metallothionein.. Journal of Biological Chemistry. 263(17). 8199–8203. 70 indexed citations

Wright, C F, Keith McKenney, Dean H. Hamer, J. C. Byrd, & Dennis R. Winge. (1987). Structural and functional studies of the amino terminus of yeast metallothionein.. Journal of Biological Chemistry. 262(27). 12912–12919. 25 indexed citations

Byrd, J. C. & Dennis R. Winge. (1986). Cooperative cluster formation in metallothionein. Archives of Biochemistry and Biophysics. 250(1). 233–237. 22 indexed citations

10.

Land, Geoffrey A., et al.. (1979). Evaluation of the new API 20C strip for yeast identification against a conventional method. Journal of Clinical Microbiology. 10(3). 357–364. 63 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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