S Stone

474 citations
12 papers · 406 indexed · h-index 10

Impact in

Papers in

S Stone

12 papers receiving 395 citations

Peers

S Stone
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 196
  • Developmental Neuroscience 34
  • Behavioral Neuroscience 24
  • Endocrine and Autonomic Systems 42
  • Reproductive Medicine 39
Replace Karin Wallis with:
Karin Wallis Sweden
Javier Ortiz‐Caro Spain
P. Borboni Italy
Nathalie Coutry France
Tetsuro Sugisaki Japan
Sigrun Horn Germany
Amrita Pathak United States
Takafumi Yoshioka Japan
Jean‐Michel Gavaret France
Carmen Grijota-Martínez Spain
S Stone relative to Karin Wallis Sweden Karin Wallis's profile →
Citations per field
00.5×1.5×
Karin Wallis · 1×
Citations per year

Countries citing papers authored by S Stone

Since Specialization
Citations

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

Fields of papers citing papers by S Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside S Stone, 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 Stone Line = papers co-authored together S Stone links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 19995
2
Induction of transcription factor interferon regulatory factor-1 by interferon-gamma (IFN gamma) and tumor necrosis factor-alpha (TNF alpha) in FRTL-5 cells.
199922
3 19989
4 199611
5 199620
6 199539
7 199313
8 199248
9 1992106
10 199252
11 199219
12 199262

About S Stone

S Stone is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience, Nutrition and Dietetics, Cancer Research and Hepatology, having authored 12 papers that have together received 406 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Selenium in Biological Systems (2 papers), Fibroblast Growth Factor Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Immune Response and Inflammation (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (196 citations), Developmental Neuroscience (34 citations), Behavioral Neuroscience (24 citations), Endocrine and Autonomic Systems (42 citations) and Reproductive Medicine (39 citations). S Stone has collaborated with scholars based in United States. Frequent co-authors include William J. DeVito, Lewis E. Braverman, Sharon Alex, Jean‐Pierre Chanoine, Jack L. Leonard, William C. Okulicz, S L Fang, C I, Kam‐Tsun Tang and Marjorie Safran. Their work appears in journals such as Endocrinology, European Journal of Endocrinology, Journal of Cellular Biochemistry, Thyroid and PubMed.

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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