S.C. Bell

2.4k citations
66 papers · 2.1k · h-index 25

Impact in

Papers in

S.C. Bell

65 papers receiving 1.9k citations

Peers

S.C. Bell
Comparison fields: 5 of 84
  • Immunology 872
  • Obstetrics and Gynecology 182
  • Epidemiology 488
  • Pharmacology 144
  • Endocrinology, Diabetes and Metabolism 151
Replace Tetsu Sato with:
Tetsu Sato Japan
Fortunato Vesce Italy
Douglas A Gibson United Kingdom
Ali Akoum Canada
Irit Granot Israel
Stephen James Renaud Canada
Mingjun Sun China
Daniela Hornung Germany
Ana Laura Pereira-Suárez Mexico
Tomio Iwabe Japan
S.C. Bell relative to Tetsu Sato Japan Tetsu Sato's profile →
Citations per field
00.5×10×20×25.2×
Tetsu Sato · 1×
Citations per year

Countries citing papers authored by S.C. Bell

Since Specialization
Citations

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

Fields of papers citing papers by S.C. Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993201
2 1994183
3 2000119
4 199994
5 200785
6 198581
7 198873
8 199565
9 198664
10 198861
11 199961
12 200457
13 199649
14 198145
15 198544
16 197643
17 201040
18
Potential roles of metalloprotease mediated ectodomain cleavage in signaling by the endothelial receptor tyrosine kinase Tie-1.
199939
19 201038
20 198337

About S.C. Bell

S.C. Bell is a scholar working on Immunology, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Epidemiology and Pharmacology, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (45 papers), Preterm Birth and Chorioamnionitis (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Maternal and Perinatal Health Interventions (3 papers), Cannabis and Cannabinoid Research (3 papers), Microbial metabolism and enzyme function (2 papers), Pregnancy and preeclampsia studies (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (872 citations), Obstetrics and Gynecology (182 citations), Epidemiology (488 citations), Pharmacology (144 citations) and Endocrinology, Diabetes and Metabolism (151 citations). S.C. Bell has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include T. M. Malak, David J. Taylor, Janet F. McLaren, Shilpa Patel, GILLIAN T. WAITES, W. David Billington, James Drife, Philip H. Kirwan, Georgina Correia‐da‐Silva and Natércia A. A. Teixeira. Their work appears in journals such as Reproduction, Human Reproduction, Journal of Reproductive Immunology, Placenta and BJOG An International Journal of Obstetrics & Gynaecology.

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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