Geoff Smith

139 papers receiving 4.5k citations

Geoff Smith's Hit Papers

High-throughput sequencing of DNA G-quadruplex structures in the human genome 2015 · 968 citations
9680+4+9Years since publication250500750

Peers

Geoff Smith
Comparison fields: 5 of 199
  • Molecular Medicine 244
  • Clinical Biochemistry 290
  • Endocrinology 218
  • Molecular Biology 2.1k
  • Biophysics 155
Replace Sharon M. Kelly with:
Sharon M. Kelly United Kingdom
Nicholas C. Price United Kingdom
Paul N. Newton United Kingdom
Pierre Legrand France
Vicki H. Wysocki United States
Edward N. Baker New Zealand
Jim E. Riviere United States
Michel H. J. Koch Germany
Ying Zhang China
Weng C. Chan United Kingdom
Geoff Smith relative to Sharon M. Kelly United Kingdom Sharon M. Kelly's profile →
Citations per field
00.5×1.7×
Sharon M. Kelly · 1×
Citations per year

Countries citing papers authored by Geoff Smith

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-throughput sequencing of DNA G-quadruplex structures in the human genome
Hit paper breakdown →
2015968
2
Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak
Hit paper breakdown →
2012470
3 2013220
4 2011165
5 2013144
6 1997108
7 2015104
8 200496
9 199890
10 199585
11 201381
12 198281
13 199172
14 201069
15 201269
16 200166
17 198862
18 198958
19 201553
20 201649

About Geoff Smith

Geoff Smith is a scholar working on Molecular Biology, Analytical Chemistry, Biomedical Engineering, Food Science and Biotechnology, having authored 142 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protein purification and stability (14 papers), Spectroscopy and Chemometric Analyses (9 papers), Microencapsulation and Drying Processes (8 papers), Microbial Inactivation Methods (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Analytical Chemistry and Chromatography (7 papers), Freezing and Crystallization Processes (6 papers) and Analytical Methods in Pharmaceuticals (6 papers). The work is most often cited by research in Molecular Medicine (244 citations), Clinical Biochemistry (290 citations), Endocrinology (218 citations), Molecular Biology (2.1k citations) and Biophysics (155 citations). Geoff Smith has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Vicki S. Chambers, Shankar Balasubramanian, Marco Di Antonio, Jonathan M. Boutell, Giovanni Marsico, I. Ermolina, Keith C. Gordon, Julian Parkhill, Claudio U. Köser and Sharon J. Peacock. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Physics D Applied Physics, European Journal of Pharmaceutics and Biopharmaceutics, Journal of Non-Crystalline Solids and AAPS PharmSciTech.

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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