Geoff Smith

145 papers receiving 4.7k citations

Geoff Smith's Hit Papers

High-throughput sequencing of DNA G-quadruplex structures in the human genome 2015 · 981 citations
9810+4+9Years since publication250500750

Peers

Geoff Smith
Comparison fields: 5 of 203
  • Molecular Medicine 251
  • Clinical Biochemistry 311
  • Endocrinology 230
  • Molecular Biology 2.1k
  • Biophysics 165
Replace Sharon M. Kelly with:
Sharon M. Kelly United Kingdom
Paul N. Newton United Kingdom
Pierre Legrand France
Nicholas C. Price United Kingdom
Vicki H. Wysocki United States
Edward N. Baker New Zealand
Michel H. J. Koch Germany
Ying Zhang China
Vladimı́r Havlı́ček Czechia
David Sullivan United States
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 148 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 →
2015981
2
Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak
Hit paper breakdown →
2012494
3 2013240
4 2011176
5 2013156
6 1997113
7 2015105
8 2004103
9 199894
10 199588
11 201383
12 198283
13 199178
14 201070
15 200170
16 201269
17 198867
18 198962
19 201553
20 199453

About Geoff Smith

Geoff Smith is a scholar working on Molecular Biology, Analytical Chemistry, Biomedical Engineering, Food Science and Biotechnology, having authored 148 papers that have together received 4.9k 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), Freezing and Crystallization Processes (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Analytical Chemistry and Chromatography (7 papers) and Analytical Methods in Pharmaceuticals (6 papers). The work is most often cited by research in Molecular Medicine (251 citations), Clinical Biochemistry (311 citations), Endocrinology (230 citations), Molecular Biology (2.1k citations) and Biophysics (165 citations). Geoff Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Giovanni Marsico, Marco Di Antonio, Jonathan M. Boutell, Vicki S. Chambers, Shankar Balasubramanian, 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, European Journal of Pharmaceutics and Biopharmaceutics, Journal of Physics D Applied Physics, Journal of Non-Crystalline Solids and International Journal of Pharmaceutics.

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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