J C Byrd

786 total citations
9 papers, 686 citations indexed

About

J C Byrd is a scholar working on Molecular Biology, Nutrition and Dietetics and Organic Chemistry. According to data from OpenAlex, J C Byrd has authored 9 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 3 papers in Organic Chemistry. Recurrent topics in J C Byrd's work include Glycosylation and Glycoproteins Research (6 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). J C Byrd is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). J C Byrd collaborates with scholars based in United States. J C Byrd's co-authors include Derek T. A. Lamport, James R. Gum, James W. Hicks, Neil W. Toribara, Bader Siddiqui, Young S. Kim, Jeannette Nardelli, Steven H. Itzkowitz, Bader Siddiki and Mei Yuan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemical Journal.

In The Last Decade

J C Byrd

9 papers receiving 675 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	522	221	152	135	125	9	686
Y S Kim United States	10	621 1.2×	206 0.9×	155 1.0×	95 0.7×	159 1.3×	12	901
Virginie Debailleul France	7	395 0.8×	127 0.6×	174 1.1×	71 0.5×	133 1.1×	8	552
Lowrie R. Glasgow United States	7	533 1.0×	248 1.1×	164 1.1×	76 0.6×	76 0.6×	8	715
E F Hounsell United Kingdom	15	582 1.1×	186 0.8×	208 1.4×	196 1.5×	66 0.5×	17	695
Séverine Nollet France	8	424 0.8×	116 0.5×	142 0.9×	139 1.0×	93 0.7×	8	518
F G Hanisch Germany	14	870 1.7×	297 1.3×	392 2.6×	284 2.1×	73 0.6×	23	1.1k
Maria Duk Poland	18	750 1.4×	220 1.0×	308 2.0×	260 1.9×	59 0.5×	45	992
Neil Myerscough United Kingdom	9	355 0.7×	120 0.5×	137 0.9×	40 0.3×	97 0.8×	18	461
Jutta Schlepper‐Schäfer Germany	18	432 0.8×	59 0.3×	211 1.4×	93 0.7×	103 0.8×	26	873
Weijie Dong China	17	613 1.2×	97 0.4×	216 1.4×	85 0.6×	40 0.3×	32	784

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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9 of 9 papers shown

1.

Byrd, J C, Darius Mehregan, & David A. Mehregan. (2001). Utility of anti-bacillus Calmette-Gu?rin antibodies as a screen for organisms in sporotrichoid infections. Journal of the American Academy of Dermatology. 44(2). 261–264. 8 indexed citations

2.

Ohara, Susumu, J C Byrd, James R. Gum, & Yan Kim. (1994). Biosynthesis of two distinct types of mucin in HM3 human colon cancer cells. Biochemical Journal. 297(3). 509–516. 11 indexed citations

3.

Huang, Jian, et al.. (1993). Monoclonal antibodies against partially deglycosylated colon cancer mucin that recognize Tn antigen.. PubMed. 10(2). 81–94. 27 indexed citations

4.

Rafiee, Parvaneh, et al.. (1991). A sialoglycoprotein complex linked to the microvillus cytoskeleton acts as a receptor for pilus (AF/R1) mediated adhesion of enteropathogenic Escherichia coli (RDEC-1) in rabbit small intestine.. The Journal of Cell Biology. 115(4). 1021–1029. 24 indexed citations

5.

Yan, Peisha, et al.. (1990). Expression of native and deglycosylated colon cancer mucin antigens in normal and malignant epithelial tissues.. PubMed. 63(5). 698–706. 24 indexed citations

6.

Byrd, J C, Derek T. A. Lamport, Bader Siddiqui, et al.. (1989). Deglycosylation of mucin from LS174T colon cancer cells by hydrogen fluoride treatment. Biochemical Journal. 261(2). 617–625. 25 indexed citations

7.

Gum, James R., et al.. (1989). Molecular Cloning of Human Intestinal Mucin cDNAs. Journal of Biological Chemistry. 264(11). 6480–6487. 487 indexed citations

8.

Byrd, J C, Jeannette Nardelli, Bader Siddiqui, & Young S. Kim. (1988). Isolation and characterization of colon cancer mucin from xenografts of LS174T cells.. PubMed. 48(23). 6678–85. 47 indexed citations

9.

Byrd, J C, et al.. (1985). Rat intestinal nucleotide-sugar pyrophosphatase. Localization, partial purification, and substrate specificity.. Journal of Biological Chemistry. 260(12). 7474–7480. 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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