William Atiomo

2.8k total citations
76 papers, 1.9k citations indexed

About

William Atiomo is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, William Atiomo has authored 76 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Reproductive Medicine, 41 papers in Public Health, Environmental and Occupational Health and 12 papers in Obstetrics and Gynecology. Recurrent topics in William Atiomo's work include Ovarian function and disorders (45 papers), Reproductive Biology and Fertility (32 papers) and Ovarian cancer diagnosis and treatment (16 papers). William Atiomo is often cited by papers focused on Ovarian function and disorders (45 papers), Reproductive Biology and Fertility (32 papers) and Ovarian cancer diagnosis and treatment (16 papers). William Atiomo collaborates with scholars based in United Kingdom, United Arab Emirates and Malaysia. William Atiomo's co-authors include Paul Hardiman, Zeina Haoula, Mehmet Coşkun Salman, Pamela Hagan, Nicolas Galazis, Robert Layfield, A. G. Prentice, Clare A. Daykin, Steve Shaw and Mohamad Nasir Shafiee and has published in prestigious journals such as The Lancet, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

William Atiomo

73 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Atiomo United Kingdom 24 1.3k 913 294 283 183 76 1.9k
Jonathan Lord United Kingdom 18 1.6k 1.2× 1.2k 1.4× 362 1.2× 286 1.0× 487 2.7× 45 2.5k
Anthony P. Cheung Canada 25 1.2k 0.9× 898 1.0× 242 0.8× 321 1.1× 184 1.0× 64 2.0k
Elisabetta Zanolin Italy 16 619 0.5× 503 0.6× 226 0.8× 91 0.3× 422 2.3× 40 1.7k
Rocco Rago Italy 20 709 0.5× 449 0.5× 160 0.5× 149 0.5× 143 0.8× 60 1.4k
Roberto Matorras Spain 30 1.6k 1.2× 1.1k 1.2× 276 0.9× 611 2.2× 93 0.5× 152 2.6k
Erica Johnstone United States 19 1.1k 0.9× 621 0.7× 196 0.7× 340 1.2× 99 0.5× 68 1.5k
Holly R. Harris United States 38 1.7k 1.3× 996 1.1× 597 2.0× 1.0k 3.6× 84 0.5× 125 3.8k
Martin Birkhäuser Switzerland 25 742 0.6× 594 0.7× 100 0.3× 173 0.6× 557 3.0× 63 1.7k
Patrice Lopès France 16 735 0.6× 463 0.5× 274 0.9× 186 0.7× 472 2.6× 78 1.7k
Avi Harlev Israel 21 888 0.7× 746 0.8× 216 0.7× 458 1.6× 39 0.2× 75 1.7k

Countries citing papers authored by William Atiomo

Since Specialization
Citations

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

Fields of papers citing papers by William Atiomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Atiomo

This figure shows the co-authorship network connecting the top 25 collaborators of William Atiomo. A scholar is included among the top collaborators of William Atiomo 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 William Atiomo. William Atiomo 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.
Atiomo, William, et al.. (2024). Prevalence and Diagnosis of PCOS Using Electronic Health Records: A Scoping Review and a Database Analysis. International Journal of Environmental Research and Public Health. 21(3). 354–354. 4 indexed citations
2.
Sverrisdóttir, Yrsa Bergmann, et al.. (2024). Prevalence of pre-eclampsia in women in the Middle East: a scoping review. Frontiers in Public Health. 12. 1384964–1384964. 2 indexed citations
3.
Atiomo, William, Ian Symonds, George Gwako, et al.. (2024). A common curriculum in obstetrics and gynecology for medical students globally. International Journal of Gynecology & Obstetrics. 167(1). 191–196. 1 indexed citations
4.
Mirza, Fadi, et al.. (2023). Prevalence of Polycystic Ovary Syndrome amongst Females Aged between 15 and 45 Years at a Major Women’s Hospital in Dubai, United Arab Emirates. International Journal of Environmental Research and Public Health. 20(9). 5717–5717. 7 indexed citations
5.
6.
Senok, Abiola, et al.. (2022). Polycystic Ovary Syndrome and Endometrial Cancer: A Scoping Review of the Literature on Gut Microbiota. Cells. 11(19). 3038–3038. 11 indexed citations
7.
Cooper, Nicola, et al.. (2020). The student is key: A realist review of educational interventions to develop analytical and non‐analytical clinical reasoning ability. Medical Education. 54(8). 709–719. 24 indexed citations
8.
Atiomo, William, et al.. (2019). Peer Mentor Schemes in Medical School: their need, their value and training for peer mentors. 2(2). 47–60. 3 indexed citations
9.
Hagan, Pamela, et al.. (2018). A systematic review of the literature describing the outcomes of near-peer mentoring programs for first year medical students. BMC Medical Education. 18(1). 98–98. 164 indexed citations
10.
11.
Galazis, Nicolas, et al.. (2013). Proteomic biomarkers of endometrial cancer risk in women with polycystic ovary syndrome: a systematic review and biomarker database integration. Gynecological Endocrinology. 29(7). 638–644. 18 indexed citations
12.
Osman, Wadah, et al.. (2013). Scrotal cooling and its benefits to male fertility: A systematic review. Journal of Obstetrics and Gynaecology. 33(4). 338–342. 8 indexed citations
13.
Atiomo, William & Clare A. Daykin. (2012). Metabolomic biomarkers in women with polycystic ovary syndrome: a pilot study. Molecular Human Reproduction. 18(11). 546–553. 48 indexed citations
14.
Galazis, Nicolas, et al.. (2012). MECHANISMS IN ENDOCRINOLOGY: Proteomic biomarkers of type 2 diabetes mellitus risk in women with polycystic ovary syndrome. European Journal of Endocrinology. 168(2). R33–R43. 26 indexed citations
15.
Atiomo, William. (2009). A Constructivist Strategy for Medium/Large Student Groups- The Contextual Learning Model. 2(1). 1–9. 2 indexed citations
16.
Atiomo, William, et al.. (2009). Future recruitment into obstetrics and gynaecology: Factors affecting early career choice. Journal of Obstetrics and Gynaecology. 29(5). 369–372. 10 indexed citations
17.
Crow, Jesse C., et al.. (2005). The association between polycystic ovaries and endometrial cancer. Human Reproduction. 21(4). 924–929. 91 indexed citations
18.
Hardiman, Paul, et al.. (2003). Erratum: Polycystic ovary syndrome and endometrial carcinoma (Lancet (May 24, 2003) 361 (1810-1812)). UCL Discovery (University College London). 1 indexed citations
19.
Atiomo, William, Sally‐Ann Pearson, Steve Shaw, A. G. Prentice, & Paul A. Dubbins. (2000). Ultrasound criteria in the diagnosis of polycystic ovary syndrome (PCOS). Ultrasound in Medicine & Biology. 26(6). 977–980. 53 indexed citations
20.
Atiomo, William, et al.. (1998). The plasminogen activator system in women with polycystic ovary syndrome. Fertility and Sterility. 69(2). 236–241. 105 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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