Neil Swainston

8.2k citations
50 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
Microbial Metabolic Engineering and Bioproduction (29 papers)RNA and protein synthesis mechanisms (11 papers)Metabolomics and Mass Spectrometry Studies (9 papers)

In The Last Decade

Neil Swainston

50 papers receiving 2.8k citations

Hit Papers

ChEBI in 2016: Improved services and an expanding collect...20152026201820222015200400600

Peers

Neil Swainston
Comparison fields: 5 of 152
  • Molecular Biology 2.3k
  • Biomedical Engineering 491
  • Computational Theory and Mathematics 383
  • Spectroscopy 239
  • Pharmacology 220
Replace Gareth Owen with:
Gareth Owen United Kingdom
Jennifer Fostel United States
Lars Ridder Netherlands
Marcus Ennis United Kingdom
Shuguang Yuan China
Sérgio M. Marques Czechia
Paula de Matos United Kingdom
Stephen R. Heller United States
Tiago Rodrigues Portugal
Ida Schomburg Germany
Neil Swainston relative to Gareth Owen United Kingdom Gareth Owen's profile →
Citations per field
00.5×1.5×2.4×
Gareth Owen · 1×
Citations per year

Countries citing papers authored by Neil Swainston

Since Specialization
Citations

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

Fields of papers citing papers by Neil Swainston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Swainston

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Swainston. A scholar is included among the top collaborators of Neil Swainston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil Swainston. Neil Swainston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 25
2 54
3 50
4 34
5 69
6 22
7 9
8 24
9 9
10 14
11
ChEBI in 2016: Improved services and an expanding collection of metabolitesbreakdown →
648
12 149
13 28
14 22
15 12
16 8
17 128
18 13
19 4
20 9

About Neil Swainston

Neil Swainston is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics, having authored 50 papers that have together received 2.8k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (29 papers), RNA and protein synthesis mechanisms (11 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Computational Theory and Mathematics (383 citations) and Spectroscopy (239 citations). Neil Swainston has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Douglas B. Kell, Pedro Mendes, Andrew Currin, Philip J. Day, Kieran Smallbone, Venkatesh Muthukrishnan, Adriano Dekker, Christoph Steinbeck, Janna Hastings and Steve Turner. Their work appears in journals such as Chemical Society Reviews, Nucleic Acids Research and Nature Communications.

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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