Ian Simms

97 papers receiving 3.4k citations

Ian Simms's Hit Papers

The natural history of Chlamydia trachomatis infection in women: a multi-parameter evidence synthesis 2016 · 350 citations
3500+3+6Years since publication100200300

Peers

Ian Simms
Comparison fields: 5 of 127
  • Microbiology 1.8k
  • Endocrinology 174
  • Physiology 628
  • Epidemiology 742
  • Infectious Diseases 398
Replace Marcus Y. Chen with:
Marcus Y. Chen Australia
Khalil G. Ghanem United States
Hannelore M Götz Netherlands
Sylvia M. Bruisten Netherlands
Susan Cu‐Uvin United States
Lori M. Newman United States
Barbara Van Der Pol United States
Robert D. Kirkcaldy United States
J A Emslie United Kingdom
J. Neil Simonsen Canada
Ian Simms relative to Marcus Y. Chen Australia Marcus Y. Chen's profile →
Citations per field
00.5×2.9×
Marcus Y. Chen · 1×
Citations per year

Countries citing papers authored by Ian Simms

Since Specialization
Citations

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

Fields of papers citing papers by Ian Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian Simms, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Simms Line = papers co-authored together Ian Simms links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The natural history of Chlamydia trachomatis infection in women: a multi-parameter evidence synthesis
Hit paper breakdown →
2016350
2 2010226
3 2005157
4 2001145
5 2015122
6 2010121
7 2006119
8 2000115
9 2013112
10 201783
11 200380
12 201579
13 200379
14 200171
15 200665
16 200665
17 200461
18 202354
19 200354
20 199952

About Ian Simms

Ian Simms is a scholar working on Microbiology, Physiology, Epidemiology, General Health Professions and Public Health, Environmental and Occupational Health, having authored 103 papers that have together received 3.5k indexed citations. Recurring topics across this work include Reproductive tract infections research (53 papers), Syphilis Diagnosis and Treatment (31 papers), Adolescent Sexual and Reproductive Health (8 papers), Escherichia coli research studies (8 papers), Urinary Tract Infections Management (6 papers), Viral gastroenteritis research and epidemiology (5 papers), HIV, Drug Use, Sexual Risk (5 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). The work is most often cited by research in Microbiology (1.8k citations), Endocrinology (174 citations), Physiology (628 citations), Epidemiology (742 citations) and Infectious Diseases (398 citations). Ian Simms has collaborated with scholars based in United Kingdom, Maldives and United States. Frequent co-authors include Gwenda Hughes, Paddy Horner, Katy Turner, Mike Catchpole, Malcolm J Price, Nicky J. Welton, A. E. Ades, John Macleod, Kate Soldan and Daniela De Angelis. Their work appears in journals such as Sexually Transmitted Infections, Eurosurveillance, International Journal of STD & AIDS, Sexual Health and Sexually Transmitted Diseases.

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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