S.N. Smith

2.1k citations
48 papers · 1.8k · h-index 17

Impact in

Papers in

S.N. Smith

48 papers receiving 1.7k citations

Peers

S.N. Smith
Comparison fields: 5 of 126
  • Metals and Alloys 192
  • Pulmonary and Respiratory Medicine 578
  • Genetics 336
  • Genetics 94
  • Molecular Biology 632
Replace Robert K. Pope with:
Robert K. Pope United States
Michael Walch Switzerland
Megumi Kimura Japan
Yoshimi Sato Japan
Hiroki Saito Japan
Masaki Shimono Japan
Karuppiah Balakrishnan India
R. Braun United States
Yachun Wang China
Xiaoyan Guan China
S.N. Smith relative to Robert K. Pope United States Robert K. Pope's profile →
Citations per field
00.5×5×10×14.4×
Robert K. Pope · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999353
2 1993335
3
A demonstration using mouse models that successful gene therapy for cystic fibrosis requires only partial gene correction.
1996128
4 1993127
5 1996103
6 199080
7 200271
8
Laboratory and clinical studies in support of cystic fibrosis gene therapy using pCMV-CFTR-DOTAP.
199662
9 200753
10 199633
11 200831
12 197930
13 199829
14 199528
15 199422
16 199120
17 198619
18 200417
19 199817
20 198917

About S.N. Smith

S.N. Smith is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Pulmonary and Respiratory Medicine, Metals and Alloys and Cell Biology, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (9 papers), Lichen and fungal ecology (8 papers), Botany and Plant Ecology Studies (7 papers), Corrosion Behavior and Inhibition (5 papers), Bryophyte Studies and Records (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Material Properties and Failure Mechanisms (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Metals and Alloys (192 citations), Pulmonary and Respiratory Medicine (578 citations), Genetics (336 citations), Genetics (94 citations) and Molecular Biology (632 citations). S.N. Smith has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Richard A. Armstrong, Trikur A. Ramanarayanan, Eric W.F.W. Alton, David John Porteous, Julia R. Dorin, J. D. Mumford, Felix M. Munkonge, Peter Gordon Middleton, Diana M. Steel and Natasha J. Caplen. Their work appears in journals such as CORROSION, Symbiosis, Environmental and Experimental Botany, Enzyme and Microbial Technology and New Phytologist.

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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