S.N. Smith

44 papers receiving 1.2k citations

Peers

S.N. Smith
Comparison fields: 5 of 120
  • Metals and Alloys 192
  • Pulmonary and Respiratory Medicine 371
  • Genetics 192
  • Genetics 66
  • Molecular Biology 408
Replace Stephen N. Smith with:
Stephen N. Smith United Kingdom
Ryo Kikuchi Japan
Xuerong Liu China
Changyi Zhang China
Xiaoyan Guan China
Robert J. Dodson United States
Yoshimi Sato Japan
Ramón A. Pizarro Argentina
François Ahimou Belgium
Huihua Wang China
S.N. Smith relative to Stephen N. Smith United Kingdom Stephen N. Smith's profile →
Citations per field
00.5×2.6×
Stephen N. Smith · 1×
Citations per year

Countries citing papers authored by S.N. Smith

Since Specialization
Citations

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

Fields of papers citing papers by S.N. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993299
2 1993124
3
A demonstration using mouse models that successful gene therapy for cystic fibrosis requires only partial gene correction.
1996114
4 199696
5 199080
6 200267
7
Laboratory and clinical studies in support of cystic fibrosis gene therapy using pCMV-CFTR-DOTAP.
199654
8 199630
9 199528
10 200828
11 199827
12 197927
13 199120
14 199419
15 198917
16 199817
17 199216
18 200416
19 200415
20 199915

About S.N. Smith

S.N. Smith is a scholar working on Plant Science, Molecular Biology, Pulmonary and Respiratory Medicine, Ecology, Evolution, Behavior and Systematics and Materials Chemistry, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lichen and fungal ecology (7 papers), Cystic Fibrosis Research Advances (7 papers), Botany and Plant Ecology Studies (7 papers), Corrosion Behavior and Inhibition (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Bryophyte Studies and Records (4 papers), Antifungal resistance and susceptibility (4 papers) and Material Properties and Failure Mechanisms (3 papers). The work is most often cited by research in Metals and Alloys (192 citations), Pulmonary and Respiratory Medicine (371 citations), Genetics (192 citations), Genetics (66 citations) and Molecular Biology (408 citations). S.N. Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include T. A. Ramanarayanan, Richard A. Armstrong, Eric W.F.W. Alton, David J. Porteous, Julia R. Dorin, J. D. Mumford, Peter G. Middleton, Felix M. Munkonge, Gerry McLachlan and R Farley. Their work appears in journals such as Environmental and Experimental Botany, Journal of Fish Diseases, Symbiosis, New Phytologist and Journal of Applied Microbiology.

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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