S. Campbell

39 total papers · 1.1k total citations
22 papers, 695 citations indexed

About

S. Campbell is a scholar working on Genetics, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, S. Campbell has authored 22 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Obstetrics and Gynecology and 4 papers in Reproductive Medicine. Recurrent topics in S. Campbell's work include Estrogen and related hormone effects (7 papers), Pregnancy and preeclampsia studies (3 papers) and Reproductive System and Pregnancy (2 papers). S. Campbell is often cited by papers focused on Estrogen and related hormone effects (7 papers), Pregnancy and preeclampsia studies (3 papers) and Reproductive System and Pregnancy (2 papers). S. Campbell collaborates with scholars based in United Kingdom, United States and South Africa. S. Campbell's co-authors include Malcolm Whitehead, John McQueen, R.J.B. King, Joseph Minardi, P. T. Townsend, William P. Collins, MI Whitehead, Amma Kyei-Mensah, Jinan Bekir and J. Zaidi and has published in prestigious journals such as Obstetrics and Gynecology, BJOG An International Journal of Obstetrics & Gynaecology and Acta Paediatrica.

In The Last Decade

S. Campbell

22 papers receiving 620 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Campbell 238 237 189 177 155 22 695
Pietro Galantino 138 0.6× 269 1.1× 168 0.9× 220 1.2× 283 1.8× 24 731
Simon Kipersztok 153 0.6× 228 1.0× 97 0.5× 157 0.9× 73 0.5× 18 646
Kyong Wook Yi 96 0.4× 292 1.2× 130 0.7× 142 0.8× 268 1.7× 47 713
Malcolm Padwick 189 0.8× 240 1.0× 208 1.1× 80 0.5× 181 1.2× 28 676
Kate Maclaran 118 0.5× 224 0.9× 175 0.9× 202 1.1× 86 0.6× 21 593
Eva-Katrin Bentz 164 0.7× 161 0.7× 117 0.6× 129 0.7× 125 0.8× 22 660
Rashna Chenoy 99 0.4× 109 0.5× 97 0.5× 116 0.7× 151 1.0× 26 569
L.A. Schellekens 103 0.4× 156 0.7× 246 1.3× 134 0.8× 99 0.6× 21 759
Mithat Erenus 146 0.6× 303 1.3× 226 1.2× 242 1.4× 100 0.6× 48 699
Po Mui Lam 65 0.3× 188 0.8× 129 0.7× 262 1.5× 188 1.2× 33 679

Countries citing papers authored by S. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by S. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Campbell

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

All Works

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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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