J Shepherd

794 total citations
12 papers, 643 citations indexed

About

J Shepherd is a scholar working on Infectious Diseases, Surgery and Molecular Biology. According to data from OpenAlex, J Shepherd has authored 12 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in J Shepherd's work include HIV Research and Treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Cholesterol and Lipid Metabolism (2 papers). J Shepherd is often cited by papers focused on HIV Research and Treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Cholesterol and Lipid Metabolism (2 papers). J Shepherd collaborates with scholars based in United Kingdom, United States and Botswana. J Shepherd's co-authors include Julia M. Corton, A. Graham Pockley, Chris J. Packard, Thomas Demant, Dorothy Bedford, C.J. Packard, Gareth Lloyd-Jones, Howard R. Slater, Alyssa Finlay and John E. Oeltmann and has published in prestigious journals such as Journal of Clinical Investigation, Biochemical and Biophysical Research Communications and Journal of Lipid Research.

In The Last Decade

J Shepherd

12 papers receiving 612 citations

Peers

J Shepherd
David Weiland United States
Y. F. Shiau United States
P W Kohnen United States
Eva Lau Portugal
J Shepherd
Citations per year, relative to J Shepherd J Shepherd (= 1×) peers Patricia G. Vallés

Countries citing papers authored by J Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by J Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Shepherd

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

All Works

12 of 12 papers shown
1.
Zetola, Nicola M., Chawangwa Modongo, Patrick K. Moonan, et al.. (2016). Protocol for a population-based molecular epidemiology study of tuberculosis transmission in a high HIV-burden setting: the Botswana Kopanyo study. BMJ Open. 6(5). e010046–e010046. 13 indexed citations
2.
Menzies, Heather, Victoria M. Gammino, Marcus A. Bachhuber, et al.. (2014). Increase in anti-tuberculosis drug resistance in Botswana: results from the fourth National Drug Resistance Survey. The International Journal of Tuberculosis and Lung Disease. 18(9). 1026–1033. 22 indexed citations
3.
Dolling, David, AN Phillips, Valérie Delpech, et al.. (2011). Evaluating the extent of potential resistance to pre‐exposure prophylaxis within the UK HIV‐1‐infectious population of men who have sex with men. HIV Medicine. 13(5). 309–314. 9 indexed citations
4.
Kaye, Steve, Erasmus Smit, Peter Tilston, et al.. (2008). Genotypic antiretroviral drug resistance testing at low viral loads in the UK. HIV Medicine. 9(8). 673–676. 13 indexed citations
5.
Sacks, Frank M., Andrew Tonkin, J Shepherd, et al.. (2000). Prospective pravastatin pooling project: Relative risk reduction by baseline HDL and TG concentrations. Atherosclerosis. 151(1). 41–41. 5 indexed citations
6.
Pockley, A. Graham, J Shepherd, & Julia M. Corton. (1998). Detection of heat shock protein 70 (HSP70) and anti-HSP70 antibodies in the serum of normal individuals. Immunological Investigations. 27(6). 367–377. 236 indexed citations
7.
Shepherd, J & Gareth Lloyd-Jones. (1998). Novel Carbazole Degradation Genes ofSphingomonasCB3: Sequence Analysis, Transcription, and Molecular Ecology. Biochemical and Biophysical Research Communications. 247(1). 129–135. 50 indexed citations
8.
Dryburgh, F.J., et al.. (1994). Regional and supraregional biochemistry services in Scotland: a survey of hospital laboratory users.. Journal of Clinical Pathology. 47(5). 395–398. 4 indexed citations
9.
Demant, Thomas, Dorothy Bedford, Chris J. Packard, & J Shepherd. (1991). Influence of apolipoprotein E polymorphism on apolipoprotein B-100 metabolism in normolipemic subjects.. Journal of Clinical Investigation. 88(5). 1490–1501. 133 indexed citations
10.
Packard, C.J., et al.. (1983). Cholesterol feeding increases low density lipoprotein synthesis.. Journal of Clinical Investigation. 72(1). 45–51. 87 indexed citations
11.
Packard, C.J., et al.. (1983). Plasma lipid abnormalities in retinitis pigmentosa and related conditions.. PubMed. 103 ( Pt 5). 508–12. 42 indexed citations
12.
Slater, Howard R., Chris J. Packard, & J Shepherd. (1982). Measurement of receptor-independent lipoprotein catabolism using 1,2 cyclohexanedione-modified low density lipoprotein.. Journal of Lipid Research. 23(1). 92–96. 29 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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