This map shows the geographic impact of O M Wrong'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 O M Wrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O M Wrong more than expected).
This network shows the impact of papers produced by O M Wrong. 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 O M Wrong. The network helps show where O M Wrong may publish in the future.
Co-authorship network of co-authors of O M Wrong
This figure shows the co-authorship network connecting the top 25 collaborators of O M Wrong.
A scholar is included among the top collaborators of O M Wrong 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 O M Wrong. O M Wrong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
18 of 18 papers shown
1.
Asplin, John R., et al.. (1999). Low molecular weight ('tubular') proteinuria in patients with mutations of the CLCN5 renal chloride channel gene.. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).6 indexed citations
Unwin, Richard D., et al.. (1996). Unravelling of the molecular mechanisms of kidney stones - Report of a meeting of physicians and scientists, University College London Medical School, London. UCL Discovery (University College London).1 indexed citations
4.
Lloyd, Sarah E., A D Thomson, Maria Luisa Bianchi, et al.. (1996). Mutations in the chloride channel gene (CLCN5) are associated with hypercalciuric rickets and nephrolithiasis.. Journal of Bone and Mineral Research. 11.1 indexed citations
5.
Wrong, O M, et al.. (1994). Dent's disease; a familial proximal renal tubular syndrome with low-molecular-weight proteinuria, hypercalciuria, nephrocalcinosis, metabolic bone disease, progressive renal failure and a marked male predominance.. PubMed. 87(8). 473–93.108 indexed citations
6.
Fisher, Simon E., Graeme C. Black, Sarah E. Lloyd, et al.. (1994). Isolation and partial characterization of a chloride channel gene which is expressed in kidney and is a candidate for Dent's disease (an X-linked hereditary nephrolithiasis).. PubMed. 3(11). 2053–9.127 indexed citations
7.
Wrong, O M. (1990). Dent's disease : a familial renal tubular syndrome with hypercalciuria, tubular proteinuria, rickets, nephrocalcinosis and eventual renal failure. QJM. 77. 1086–1087.10 indexed citations
MARSHALL, R. DEREK, et al.. (1987). A study of immune responses to Tamm-Horsfall glycoprotein in the sera of patients with renal tubular acidosis.. PubMed. 28(1). 39–47.1 indexed citations
10.
Rampton, D S, et al.. (1984). Treatment of chronic renal failure with dietary fiber.. PubMed. 21(3). 159–63.49 indexed citations
Wrong, O M. (1977). International Review of Physiology, vol 11: Kidney and Urinary Tract Physiology 2. Journal of the Royal Society of Medicine. 70(10). 746–747.1 indexed citations
13.
Evans, D J, et al.. (1971). Acute oliguric renal failure due to accelerated (malignant) hypertension.. PubMed. 40(157). 127–44.28 indexed citations
14.
Wrong, O M, et al.. (1969). In vivo dialysis of faeces as a method of stool analysis. IV. The organic anion component.. PubMed. 37(2). 549–64.83 indexed citations
15.
Ing, T.S., et al.. (1968). In vivo dialysis of faeces as a method of stool analysis. 3. The effect of intestinal antibiotics.. PubMed. 34(1). 211–21.25 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.