S.N. Smith

2.1k citations
47 papers · 1.7k · h-index 18

Impact in

Papers in

S.N. Smith

47 papers receiving 1.6k citations

Peers

S.N. Smith
Comparison fields: 5 of 126
  • Metals and Alloys 194
  • Pulmonary and Respiratory Medicine 537
  • Genetics 309
  • Genetics 87
  • Molecular Biology 597
Replace Jianping Cao with:
Jianping Cao China
Robert K. Pope United States
Ryo Kikuchi Japan
Changyi Zhang China
Megumi Kimura Japan
Jae Hak Kim South Korea
Andres Kaech Switzerland
Xiaohui Li China
Tom Morrison United States
R. Braun United States
S.N. Smith relative to Jianping Cao China Jianping Cao's profile →
Citations per field
00.5×11.4×
Jianping Cao · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999336
2 1993329
3 1993128
4
A demonstration using mouse models that successful gene therapy for cystic fibrosis requires only partial gene correction.
1996119
5 1996105
6 199081
7 200271
8
Laboratory and clinical studies in support of cystic fibrosis gene therapy using pCMV-CFTR-DOTAP.
199660
9 199633
10 200831
11 197930
12 199828
13 199528
14 199422
15 199120
16 198619
17 198917
18 199217
19 199817
20 199916

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 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lichen and fungal ecology (8 papers), Cystic Fibrosis Research Advances (8 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), Mycorrhizal Fungi and Plant Interactions (3 papers) and Concrete Corrosion and Durability (3 papers). The work is most often cited by research in Metals and Alloys (194 citations), Pulmonary and Respiratory Medicine (537 citations), Genetics (309 citations), Genetics (87 citations) and Molecular Biology (597 citations). S.N. Smith has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Richard A. Armstrong, T. A. Ramanarayanan, Eric W.F.W. Alton, David J. Porteous, Julia R. Dorin, R Farley, J. D. Mumford, Peter G. Middleton, Felix M. Munkonge and D M Geddes. Their work appears in journals such as CORROSION, Symbiosis, Environmental and Experimental Botany, Enzyme and Microbial Technology and Journal of Fish Diseases.

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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