J D McGivan

4.9k total citations
111 papers, 4.2k citations indexed

About

J D McGivan is a scholar working on Molecular Biology, Clinical Biochemistry and Biochemistry. According to data from OpenAlex, J D McGivan has authored 111 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 48 papers in Clinical Biochemistry and 44 papers in Biochemistry. Recurrent topics in J D McGivan's work include Metabolism and Genetic Disorders (47 papers), Amino Acid Enzymes and Metabolism (36 papers) and Ion Transport and Channel Regulation (19 papers). J D McGivan is often cited by papers focused on Metabolism and Genetic Disorders (47 papers), Amino Acid Enzymes and Metabolism (36 papers) and Ion Transport and Channel Regulation (19 papers). J D McGivan collaborates with scholars based in United Kingdom, Spain and Netherlands. J D McGivan's co-authors include Norah M. Bradford, Joseph Chappell, Marçal Pastor‐Anglada, Žaklina Kovačević, Suresh K. Joseph, Peter J. F. Henderson, J.D. Wood, E. Doran, S K Moule and Martin Klingenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Physiological Reviews.

In The Last Decade

J D McGivan

109 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J D McGivan United Kingdom 37 2.1k 1.2k 1.2k 835 555 111 4.2k
D E Vance Canada 44 2.9k 1.4× 940 0.8× 1.1k 0.9× 505 0.6× 813 1.5× 72 5.2k
Gian C. Gazzola Italy 33 2.0k 1.0× 803 0.6× 1.5k 1.3× 556 0.7× 453 0.8× 83 3.5k
Henri Beaufay Belgium 30 3.9k 1.9× 1.1k 0.9× 802 0.7× 1.1k 1.4× 1.1k 1.9× 67 6.5k
H N Christensen United States 33 1.7k 0.8× 1.1k 0.9× 2.3k 1.9× 642 0.8× 429 0.8× 54 4.0k
Dale L. Oxender United States 39 3.4k 1.7× 879 0.7× 1.9k 1.6× 532 0.6× 468 0.8× 108 5.4k
Robert L. Wykle United States 49 3.4k 1.6× 626 0.5× 1.4k 1.2× 1.1k 1.4× 444 0.8× 110 5.9k
Moseley Waite United States 39 2.7k 1.3× 450 0.4× 1.1k 0.9× 900 1.1× 637 1.1× 113 4.7k
Henry Weiner United States 44 3.9k 1.9× 754 0.6× 876 0.7× 960 1.1× 983 1.8× 195 6.2k
Rolf F. Kletzien United States 32 2.7k 1.3× 389 0.3× 576 0.5× 1.1k 1.3× 525 0.9× 71 4.6k
A. Poulos Australia 44 2.8k 1.4× 1.1k 0.9× 768 0.6× 1.2k 1.4× 417 0.8× 142 4.6k

Countries citing papers authored by J D McGivan

Since Specialization
Citations

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

Fields of papers citing papers by J D McGivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J D McGivan

This figure shows the co-authorship network connecting the top 25 collaborators of J D McGivan. A scholar is included among the top collaborators of J D McGivan 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 D McGivan. J D McGivan 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.
2.
King, Nicola, Hua Lin, J D McGivan, & M.Saadeh Suleiman. (2006). Expression and activity of the glutamate transporter EAAT2 in cardiac hypertrophy: implications for ischaemia reperfusion injury. Pflügers Archiv - European Journal of Physiology. 452(6). 674–682. 17 indexed citations
3.
4.
Doran, E., et al.. (2004). The pig CYP2E1 promoter is activated by COUP-TF1 and HNF-1 and is inhibited by androstenone. Archives of Biochemistry and Biophysics. 431(2). 252–260. 44 indexed citations
5.
King, Nicola, S. Korolchuk, J D McGivan, & M.Saadeh Suleiman. (2004). A new method of quantifying glutathione levels in freshly isolated single superfused rat cardiomyocytes. Journal of Pharmacological and Toxicological Methods. 50(3). 215–222. 27 indexed citations
6.
Doran, E., et al.. (2004). Characterisation of androstenone metabolism in pig liver microsomes. Chemico-Biological Interactions. 147(2). 141–149. 69 indexed citations
7.
Pollard, Matthew, David Meredith, & J D McGivan. (2002). Characterisation and cloning of a Na+-dependent broad-specificity neutral amino acid transporter from NBL-1 cells: a novel member of the ASC/B0 transporter family. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1561(2). 202–208. 9 indexed citations
8.
Doran, E., F.W. Whittington, J.D. Wood, & J D McGivan. (2002). Cytochrome P450IIE1 (CYP2E1) is induced by skatole and this induction is blocked by androstenone in isolated pig hepatocytes. Chemico-Biological Interactions. 140(1). 81–92. 131 indexed citations
9.
Pollard, Matthew & J D McGivan. (2000). The rat hepatoma cell line H4‐II‐E‐C3 expresses high activities of the high‐affinity glutamate transporter GLT‐1A. FEBS Letters. 484(2). 74–76. 13 indexed citations
10.
McGivan, J D, et al.. (1997). Induction of the stress protein Grp75 by amino acid deprivation in CHO cells does not involve an increase in Grp75 mRNA levels. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1357(1). 31–40. 8 indexed citations
11.
Nicholson, Benjamin & J D McGivan. (1996). Induction of High Affinity Glutamate Transport Activity by Amino Acid Deprivation in Renal Epithelial Cells Does Not Involve an Increase in the Amount of Transporter Protein. Journal of Biological Chemistry. 271(21). 12159–12164. 29 indexed citations
12.
McGivan, J D, et al.. (1996). Regulation of amino acid transport in the renal epithelial cell line NBL-1. Amino Acids. 11(2). 107–116. 3 indexed citations
13.
Plakidou-Dymock, Stella & J D McGivan. (1994). Amino acid deprivation-induced stress response in the bovine renal epithelial cell line NBL-1: Induction of HSP 70 by phenylalanine. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1224(2). 189–197. 13 indexed citations
14.
Plakidou-Dymock, Stella & J D McGivan. (1994). Calreticulin — a stress protein induced in the renal epithelial cell line NBL-1 by amino acid deprivation. Cell Calcium. 16(1). 1–8. 24 indexed citations
15.
16.
Helps, Chris R. & J D McGivan. (1991). Adaptive regulation of Na+‐dependent phosphate transport in the bovine renal epithelial cell line NBL‐1. European Journal of Biochemistry. 200(3). 797–803. 10 indexed citations
17.
Moule, S K & J D McGivan. (1990). Epidermal growth factor and cyclic AMP stimulate Na+/H+ exchange in isolated rat hepatocytes. European Journal of Biochemistry. 187(3). 677–682. 36 indexed citations
18.
Barry, R. E., Alistair J.K. Williams, & J D McGivan. (1987). The detection of acetaldehyde/liver plasma membrane protein adduct formed in vivo by alcohol feeding. Liver International. 7(6). 364–368. 32 indexed citations
19.
Barry, R. E. & J D McGivan. (1985). Acetaldehyde alone may initiate hepatocellular damage in acute alcoholic liver disease.. Gut. 26(10). 1065–1069. 50 indexed citations
20.
Barry, R. E., et al.. (1984). Acetaldehyde binds to liver cell membranes without affecting membrane function.. Gut. 25(4). 412–416. 21 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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