Sandra Ott

40 papers receiving 3.5k citations

Sandra Ott's Hit Papers

An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform 2014 · 1.3k citations
1.3k0+6+12Years since publication4008001.2k

Peers

Sandra Ott
Comparison fields: 5 of 154
  • Sensory Systems 157
  • Microbiology 194
  • Endocrinology, Diabetes and Metabolism 415
  • Molecular Biology 1.4k
  • Genetics 557
Replace John D. Bancroft with:
John D. Bancroft United States
G. Breves Germany
Christian Ramakers Netherlands
Buck S. Samuel United States
Jian Ye China
Pascale Jeannin France
Linda Giblin Ireland
Si Lok Hong Kong
Aylwin Ng United States
Patrick J. Biggs New Zealand
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Citations per field
00.5×11.6×
John D. Bancroft · 1×
Citations per year

Countries citing papers authored by Sandra Ott

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform
Hit paper breakdown →
20141331
2
A Null Mutation in Human APOC3 Confers a Favorable Plasma Lipid Profile and Apparent Cardioprotection
Hit paper breakdown →
2008517
3 2008227
4 2006227
5 2007124
6 2019103
7 200594
8 200079
9 199977
10 200575
11 201565
12 201754
13 201854
14 201653
15 200448
16 201638
17 200437
18 201536
19 201435
20 201435

About Sandra Ott

Sandra Ott is a scholar working on Molecular Biology, Epidemiology, Genetics, Insect Science and Infectious Diseases, having authored 40 papers that have together received 3.5k indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (6 papers), Genomics and Phylogenetic Studies (5 papers), Pneumonia and Respiratory Infections (4 papers), Parasitic Diseases Research and Treatment (3 papers), Pancreatic function and diabetes (3 papers), Streptococcal Infections and Treatments (3 papers), Gut microbiota and health (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Sensory Systems (157 citations), Microbiology (194 citations), Endocrinology, Diabetes and Metabolism (415 citations), Molecular Biology (1.4k citations) and Genetics (557 citations). Sandra Ott has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Naomi Sengamalay, Jacques Ravel, Pawel Gajer, Rebecca M. Brotman, Douglas Fadrosh, Bing Ma, Braxton D. Mitchell, Coleen Damcott, Alan R. Shuldiner and Toni I. Pollin. Their work appears in journals such as Diabetes, BMC Genomics, Infection and Immunity, American Journal of Ophthalmology and PLoS ONE.

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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