I. J. Harvey

762 total citations
11 papers, 620 citations indexed

About

I. J. Harvey is a scholar working on Urology, Molecular Biology and Rheumatology. According to data from OpenAlex, I. J. Harvey has authored 11 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Urology, 4 papers in Molecular Biology and 3 papers in Rheumatology. Recurrent topics in I. J. Harvey's work include Urinary Bladder and Prostate Research (6 papers), Pelvic floor disorders treatments (3 papers) and Urinary Tract Infections Management (2 papers). I. J. Harvey is often cited by papers focused on Urinary Bladder and Prostate Research (6 papers), Pelvic floor disorders treatments (3 papers) and Urinary Tract Infections Management (2 papers). I. J. Harvey collaborates with scholars based in United Kingdom, Sweden and United States. I. J. Harvey's co-authors include James Gillespie, Marcus J. Drake, W. A. van Duyl, Annette Meeson, Thomas W. J. Lennard, Katherine Stemke‐Hale, Rachel Eyre, Petter Hedlund, David Browell and Karl‐Erik Andersson and has published in prestigious journals such as The Journal of Urology, Cancer Letters and British Journal of Urology.

In The Last Decade

I. J. Harvey

11 papers receiving 611 citations

Peers

I. J. Harvey

UROLO

MB

RHEUM

ONCOL

EPIDE

Yoshio Mabuchi Japan

Seong‐Suk Jue South Korea

Marianela G. Dalghi United States

Betty Ng Canada

Anita Terse United States

Naoto Okubo Japan

Takeo Karakida Japan

Zehra Seda Halbutoğulları Türkiye

Patrick Sharman Japan

Keisuke Nara Japan

Yoshio Mabuchi Japan

I. J. Harvey

65 ×0.2

UROLO

162 ×0.9

MB

30 ×0.2

RHEUM

72 ×0.6

ONCOL

48 ×0.6

EPIDE

Citations per year, relative to I. J. Harvey I. J. Harvey (= 1×) peers Yoshio Mabuchi

Countries citing papers authored by I. J. Harvey

Since Specialization

Citations

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

Fields of papers citing papers by I. J. Harvey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. J. Harvey

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

All Works

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11 of 11 papers shown

1.

Eyre, Rachel, I. J. Harvey, Katherine Stemke‐Hale, et al.. (2014). Reversing paclitaxel resistance in ovarian cancer cells via inhibition of the ABCB1 expressing side population. Tumor Biology. 35(10). 9879–9892. 43 indexed citations

2.

Shaharuddin, Bakiah, I. J. Harvey, Sajjad Ahmad, Simi Ali, & Annette Meeson. (2013). Characterisation of Human Limbal Side Population Cells Isolated Using an Optimised Protocol From an Immortalised Epithelial Cell Line and Primary Limbal Cultures. Stem Cell Reviews and Reports. 10(2). 240–250. 15 indexed citations

3.

Eyre, Rachel, I. J. Harvey, Katherine Stemke‐Hale, et al.. (2012). Breast cancer, side population cells and ABCG2 expression. Cancer Letters. 323(1). 97–105. 107 indexed citations

4.

Drake, Marcus J., et al.. (2006). Muscarinic stimulation of the rat isolated whole bladder: pathophysiological models of detrusor overactivity. Autonomic and Autacoid Pharmacology. 26(3). 261–266. 21 indexed citations

5.

Gillespie, James, et al.. (2006). Muscarinic stimulation of the mouse isolated whole bladder: physiological responses in young and ageing mice. Autonomic and Autacoid Pharmacology. 26(3). 253–260. 19 indexed citations

6.

Drake, Marcus J., I. J. Harvey, James Gillespie, & W. A. van Duyl. (2005). Localized contractions in the normal human bladder and in urinary urgency. British Journal of Urology. 95(7). 1002–1005. 105 indexed citations

7.

Gillespie, James, I. J. Harvey, & Marcus J. Drake. (2003). Agonist‐ and Nerve‐Induced Phasic Activity in the Isolated Whole Bladder of the Guinea Pig: Evidence for Two types of Bladder Activity. Experimental Physiology. 88(3). 343–357. 71 indexed citations

8.

Drake, Marcus J., I. J. Harvey, & James Gillespie. (2003). Autonomous Activity in the Isolated Guinea Pig Bladder. Experimental Physiology. 88(1). 19–30. 115 indexed citations

9.

Drake, Marcus J., Petter Hedlund, I. J. Harvey, et al.. (2003). Partial Outlet Obstruction Enhances Modular Autonomous Activity in the Isolated Rat Bladder. The Journal of Urology. 170(1). 276–279. 73 indexed citations

10.

Harvey, I. J., et al.. (2000). A Putative Alternatively Spliced Variant of the P2X₁ Purinoreceptor in Human Bladder. Experimental Physiology. 85(4). 461–463. 14 indexed citations

11.

Lamb, Heather K., Alastair R. Hawkins, Melanie Smith, et al.. (1990). Spatial and biological characterisation of the complete quinic acid utilisation gene cluster in Aspergillus nidulans. Molecular and General Genetics MGG. 223(1). 17–23. 37 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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