R.F. Searle

4.1k citations
84 papers · 3.4k indexed · h-index 35

R.F. Searle

83 papers receiving 3.3k citations

Peers

R.F. Searle
Comparison fields: 5 of 105
  • Obstetrics and Gynecology 1.7k
  • Reproductive Medicine 943
  • Immunology 2.3k
  • Public Health, Environmental and Occupational Health 886
  • Pediatrics, Perinatology and Child Health 448
Replace Zoltán Papp with:
Zoltán Papp Hungary
Fernando Bonilla‐Musoles Spain
Christopher Redman United Kingdom
Clare Tower United Kingdom
Andrea Steinborn Germany
Juan A. Vanrell Spain
Liselotte Mettler Germany
G. Mage France
M. Hansmann Germany
Gianfranco Scarselli Italy
R.F. Searle relative to Zoltán Papp Hungary Zoltán Papp's profile →
Citations per field
00.5×2.7×
Zoltán Papp · 1×
Citations per year

Countries citing papers authored by R.F. Searle

Since Specialization
Citations

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

Fields of papers citing papers by R.F. Searle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.F. Searle. 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 R.F. Searle. The network helps show where R.F. Searle may publish in the future.

Co-authorship network

The 25 scholars most cited alongside R.F. Searle, 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 R.F. Searle Line = papers co-authored together R.F. Searle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20199
2 201710
3 201532
4 201147
5 2010110
6 201087
7 2009198
8 2008115
9 200646
10 2005143
11 200010
12 199935
13 199843
14 19945
15 19921
16 19886
17 19841
18 198129
19 197937
20 197699

About R.F. Searle

R.F. Searle is a scholar working on Obstetrics and Gynecology, Immunology, Reproductive Medicine, Family Practice and Urology, having authored 84 papers that have together received 3.4k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (48 papers), Pregnancy and preeclampsia studies (25 papers), Endometriosis Research and Treatment (16 papers), Preterm Birth and Chorioamnionitis (10 papers), Pregnancy and Medication Impact (9 papers), Surgical Simulation and Training (6 papers), Anatomy and Medical Technology (5 papers) and COVID-19 Impact on Reproduction (5 papers). The work is most often cited by research in Obstetrics and Gynecology (1.7k citations), Reproductive Medicine (943 citations), Immunology (2.3k citations), Public Health, Environmental and Occupational Health (886 citations) and Pediatrics, Perinatology and Child Health (448 citations). R.F. Searle has collaborated with scholars based in United Kingdom, Canada and Thailand. Frequent co-authors include Judith N. Bulmer, Stephen C. Robson, Barbara A. Innes, Gendie E. Lash, Eric J. Jenkinson, Rebecca Jones, H Otun, Meenakshi Swamy, Paula Williams and Maureen Kirkley. Their work appears in journals such as Journal of Reproductive Immunology, Placenta, Biology of Reproduction, Human Reproduction and Reproduction.

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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