S. Reuse

594 citations
14 papers · 304 indexed · h-index 11

S. Reuse

14 papers receiving 258 citations

Peers

S. Reuse
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 115
  • Virology 24
  • Physiology 14
  • Oncology 82
  • Molecular Biology 153
Replace Tetsu M.C. Yung with:
Tetsu M.C. Yung Canada
D. Michael Evans United States
A. J. Salisbury United Kingdom
Bryn Grimison United States
Xiurong Shi United States
Silvia Napoletano Ireland
Michal Haimsohn Israel
Aymen Shatnawi United States
John Short United Kingdom
Gang‐Qing Yao United States
S. Reuse relative to Tetsu M.C. Yung Canada Tetsu M.C. Yung's profile →
Citations per field
00.5×4.1×
Tetsu M.C. Yung · 1×
Citations per year

Countries citing papers authored by S. Reuse

Since Specialization
Citations

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

Fields of papers citing papers by S. Reuse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1
Synergistic activation of HIV-1 expression by deacetylase inhibitors and prostratin: implications for treatment of latent infection
201025
2 200417
3 200116
4 19963
5 19949
6 199223
7 199135
8 199130
9 199050
10 199019
11
Function, proliferation and differentiation of the dog and human thyrocyte.
199020
12 198911
13 19879
14 198637

About S. Reuse

S. Reuse is a scholar working on Endocrinology, Diabetes and Metabolism, Virology, Cell Biology, Molecular Biology and Physiology, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Thyroid Disorders and Treatments (3 papers), Glycosylation and Glycoproteins Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Cancer therapeutics and mechanisms (1 paper), Calpain Protease Function and Regulation (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (115 citations), Virology (24 citations), Physiology (14 citations), Oncology (82 citations) and Molecular Biology (153 citations). S. Reuse has collaborated with scholars based in Belgium, Netherlands and Japan. Frequent co-authors include J.E. Dumont, J.E. Dumont, Pierre P. Roger, Carine Maenhaut, Isabelle Pirson, G Vassart, Eric Raspé, J.M. Boeynaems, B. Barón and Bernard Corvilain. Their work appears in journals such as Experimental Cell Research, European Journal of Cancer, Biochemical and Biophysical Research Communications, European Journal of Endocrinology and Biochimie.

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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