S. Reuse

597 citations
17 papers · 538 · h-index 11

Impact in

Papers in

S. Reuse

16 papers receiving 481 citations

Peers

S. Reuse
Comparison fields: 5 of 54
  • Virology 198
  • Endocrinology, Diabetes and Metabolism 122
  • Infectious Diseases 139
  • Immunology 76
  • Molecular Biology 212
Replace Emily K. Tribble with:
Emily K. Tribble United States
Gao Liu China
Silvia Napoletano Ireland
Claire Beuneu France
A Modica Italy
Christine Frantz Canada
Xuelong Zhang China
Núria Nogués Spain
Xiaoming Zou China
Jeou-Yuan Chen Taiwan
S. Reuse relative to Emily K. Tribble United States Emily K. Tribble's profile →
Citations per field
00.5×2×4×6×8×9.4×
Emily K. Tribble · 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-authors

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

17 of 17 papers shown
#Work
1 2009214
2 199054
3 198637
4 199136
5 199131
6
Synergistic activation of HIV-1 expression by deacetylase inhibitors and prostratin: implications for treatment of latent infection
201027
7 199226
8 199021
9
Function, proliferation and differentiation of the dog and human thyrocyte.
199021
10 200420
11 200117
12 198911
13 19949
14 19879
15 19964
16 19901
17 20150

About S. Reuse

S. Reuse is a scholar working on Endocrinology, Diabetes and Metabolism, Virology, Molecular Biology, Immunology and Physiology, having authored 17 papers that have together received 538 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Thyroid Disorders and Treatments (4 papers), Glycosylation and Glycoproteins Research (2 papers), HIV Research and Treatment (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Polyamine Metabolism and Applications (1 paper), Cancer Genomics and Diagnostics (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Virology (198 citations), Endocrinology, Diabetes and Metabolism (122 citations), Infectious Diseases (139 citations), Immunology (76 citations) and Molecular Biology (212 citations). S. Reuse has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include J.E. Dumont, J.E. Dumont, Pierre P. Roger, Carine Maenhaut, Isabelle Pirson, Gilbert Vassart, Eric Raspé, J.M. Boeynaems, B. Barón and Éric Laurent. Their work appears in journals such as Experimental Cell Research, European Journal of Cancer, Biochemical and Biophysical Research Communications, Frontiers of hormone research and Journal of Endocrinology.

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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