James Tang

821 total citations
21 papers, 328 citations indexed

About

James Tang is a scholar working on Biomedical Engineering, General Health Professions and Mechanics of Materials. According to data from OpenAlex, James Tang has authored 21 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in General Health Professions and 4 papers in Mechanics of Materials. Recurrent topics in James Tang's work include Metal Extraction and Bioleaching (4 papers), Mobile Health and mHealth Applications (4 papers) and Advanced Surface Polishing Techniques (3 papers). James Tang is often cited by papers focused on Metal Extraction and Bioleaching (4 papers), Mobile Health and mHealth Applications (4 papers) and Advanced Surface Polishing Techniques (3 papers). James Tang collaborates with scholars based in Australia, United States and Canada. James Tang's co-authors include Marjorie Valix, Matei I. Radulescu, Zhengyi Jiang, A. Kiet Tieu, Gene H. Stollerman, Irwin Nydick, Felix Wröblewski, John S. LaDue, Martin Howell and Weichen Sun and has published in prestigious journals such as Physical Review Letters, Circulation and The American Journal of Medicine.

In The Last Decade

James Tang

18 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Tang Australia 11 131 91 74 56 47 21 328
Keith Alexander New Zealand 11 69 0.5× 22 0.2× 33 0.4× 190 3.4× 96 2.0× 39 514
Francisco Marcondes Brazil 14 336 2.6× 116 1.3× 11 0.1× 56 1.0× 40 0.9× 48 489
Jin Yoshida Japan 12 163 1.2× 77 0.8× 14 0.2× 7 0.1× 20 0.4× 37 577
Stephen W. Stein United States 18 48 0.4× 174 1.9× 8 0.1× 10 0.2× 103 2.2× 35 1.1k
Xiangling Kong China 6 98 0.7× 27 0.3× 4 0.1× 87 1.6× 13 0.3× 19 417
Ali Maleki Iran 6 129 1.0× 10 0.1× 6 0.1× 166 3.0× 40 0.9× 15 345
R. L. Williams United Kingdom 12 18 0.1× 86 0.9× 4 0.1× 86 1.5× 122 2.6× 25 480
Van-Sang Pham Vietnam 12 23 0.2× 487 5.4× 231 3.1× 15 0.3× 11 0.2× 30 622
Sourav Sarkar India 13 80 0.6× 229 2.5× 31 0.4× 6 0.1× 34 0.7× 52 469
Nitin Deshpande United Kingdom 13 52 0.4× 113 1.2× 54 0.7× 20 0.4× 2 0.0× 25 398

Countries citing papers authored by James Tang

Since Specialization
Citations

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

Fields of papers citing papers by James Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Tang

This figure shows the co-authorship network connecting the top 25 collaborators of James Tang. A scholar is included among the top collaborators of James Tang 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 Tang. James Tang 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.
Resch, Joseph A., et al.. (2025). Bayesian Transition Diagnostic Classification Models with Polya-Gamma Augmentation. Psychometrika. 90(4). 1368–1399.
3.
4.
Tang, James, Martin Howell, Vincent Lee, et al.. (2023). Patients’ Perspectives, Factors, and Patterns of eHealth Use in Kidney Transplant Recipients. Kidney International Reports. 8(4). 727–736. 3 indexed citations
5.
Huben, Amy Von, Martin Howell, Sarah Norris, et al.. (2023). Stakeholder preferences for attributes of digital health technologies to consider in health service funding. International Journal of Technology Assessment in Health Care. 39(1). e12–e12. 9 indexed citations
6.
Tang, James, Germaine Wong, Martin Howell, et al.. (2021). Perspectives of solid organ transplant recipients on medicine-taking: Systematic review of qualitative studies. American Journal of Transplantation. 21(10). 3369–3387. 14 indexed citations
7.
Tang, James, Laura James, Martin Howell, Allison Tong, & Germaine Wong. (2020). eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Transplantation. 104(8). e224–e235. 21 indexed citations
8.
Ko, Yanna, et al.. (2015). Safety of proton pump inhibitors and risk of gastric cancers: review of literature and pathophysiological mechanisms. Expert Opinion on Drug Safety. 15(1). 53–63. 24 indexed citations
9.
Tang, James & Matei I. Radulescu. (2012). Dynamics of shock induced ignition in Fickett’s model: Influence of χ . Proceedings of the Combustion Institute. 34(2). 2035–2041. 16 indexed citations
10.
Radulescu, Matei I. & James Tang. (2011). Nonlinear Dynamics of Self-Sustained Supersonic Reaction Waves: Fickett’s Detonation Analogue. Physical Review Letters. 107(16). 164503–164503. 15 indexed citations
11.
Jiang, Zhengyi, James Tang, Weichen Sun, A. Kiet Tieu, & Dongbin Wei. (2010). Analysis of tribological feature of the oxide scale in hot strip rolling. Tribology International. 43(8). 1339–1345. 34 indexed citations
12.
Jiang, Zhengyi, James Tang, A. Kiet Tieu, Wei Sun, & Dongbin Wei. (2008). Surface roughness micro-deformation and transfer of bulk steel in hot rolling. International Journal of Surface Science and Engineering. 2(1/2). 139–139. 2 indexed citations
13.
Tieu, A. Kiet, James Tang, Zhengyi Jiang, Wei Sun, & Cheng Lü. (2007). Surface roughness transformation and deformation of the scale in hot rolling. International Journal of Surface Science and Engineering. 1(1). 125–125. 2 indexed citations
14.
Tang, James & Marjorie Valix. (2006). Leaching of low grade limonite and nontronite ores by fungi metabolic acids. Minerals Engineering. 19(12). 1274–1279. 60 indexed citations
15.
Tang, James, A. Kiet Tieu, & Zhengyi Jiang. (2006). Modelling of oxide scale surface roughness in hot metal forming. Journal of Materials Processing Technology. 177(1-3). 126–129. 18 indexed citations
16.
Tang, James, et al.. (2006). Comparative study of chelating ion exchange resins for metal recovery from bioleaching of nickel laterite ores. Minerals Engineering. 19(12). 1280–1289. 35 indexed citations
17.
Tang, James, et al.. (2006). Effect of saline stress on fungi metabolism and biological leaching of weathered saprolite ores. Minerals Engineering. 19(12). 1266–1273. 15 indexed citations
18.
Tang, James, Jingyu Tang, W.H. Cheung, & Marjorie Valix. (2004). Biological leaching of nickel laterites: Use of synchrotron based X-ray diffraction in elucidating nickel laterite amenability to fungi metabolic acids. 378. 3 indexed citations
19.
Harris, T. N., Sidney Friedman, & James Tang. (1957). The appearance of new cardiac murmurs in patients having rheumatic heart disease with no concomitant evidence of rheumatic activity. The American Journal of Medicine. 23(5). 748–760. 5 indexed citations
20.
Nydick, Irwin, James Tang, Gene H. Stollerman, Felix Wröblewski, & John S. LaDue. (1955). The Influence of Rheumatic Fever on Serum Concentrations of the Enzyme, Glutamic Oxalacetic Transaminase. Circulation. 12(5). 795–806. 49 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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