S. Sims

7 papers receiving 373 citations

Peers

S. Sims
Comparison fields: 5 of 76
  • Pharmaceutical Science 62
  • Obstetrics and Gynecology 30
  • Reproductive Medicine 28
  • Epidemiology 95
  • Agronomy and Crop Science 30
Replace Ilona Zemlyak with:
Ilona Zemlyak United States
A López Bernal United Kingdom
Nobuyuki Masumoto Japan
TAKAHIRO KUMASAKA Japan
I. R. Young Australia
Stanisława Stefańczyk‐Krzymowska Poland
Herbert M. Todd United States
Manuel Ramos-Kuri Mexico
Hector N. Aguilar Canada
Kevin P. Corley United States
S. Sims relative to Ilona Zemlyak United States Ilona Zemlyak's profile →
Citations per field
00.5×5×12.4×
Ilona Zemlyak · 1×
Citations per year

Countries citing papers authored by S. Sims

Since Specialization
Citations

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

Fields of papers citing papers by S. Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside S. Sims, 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. Sims Line = papers co-authored together S. Sims links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1977287
2 199466
3 200724
4 198223
5 20239
6
The nature of control over coupling between smooth muscle cells and layers; its contribution to the synchrony of smooth muscle contraction.
19782
7
Structure and function of smooth muscle, role of cell-to-cell coupling.
19801
8 19951

About S. Sims

S. Sims is a scholar working on Pharmaceutical Science, Nephrology, Public Health, Environmental and Occupational Health, Insect Science and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (1 paper), Pregnancy-related medical research (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper), Preterm Birth and Chorioamnionitis (1 paper), Physiological and biochemical adaptations (1 paper), Neurobiology and Insect Physiology Research (1 paper), Advancements in Transdermal Drug Delivery (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Pharmaceutical Science (62 citations), Obstetrics and Gynecology (30 citations), Reproductive Medicine (28 citations), Epidemiology (95 citations) and Agronomy and Crop Science (30 citations). S. Sims has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include R. E. Garfield, Edwin E. Daniel, Janet A. Hoogstraate, V. S. Srinivasan, William I. Higuchi, Qingping Feng, Dylan E Burger, Xin Lü, Venkatachalem Sathish and Tianqing Peng. Their work appears in journals such as Science, Nature, Canadian Journal of Anesthesia/Journal canadien d anesthésie, Journal of Controlled Release and Journal of the American Society of Nephrology.

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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