Neil Saunders
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Nuclear Structure and Function
- Cell Biology top 10%
- Hemoglobin structure and function
Papers in
-
- Genomics and Phylogenetic Studies 9
- Protist diversity and phylogeny 3
- Photosynthetic Processes and Mechanisms 3
- Co-authors
- Boštjan KobePaul M. G. CurmiStuart J. FergusonRicardo CavicchioliTimothy L. BaileyMartin C. FrithVilmos FülöpJános Hajdu
- Journals
- Journal of Proteome Research (4 papers)Molecular Microbiology (2 papers)Journal of Bacteriology (2 papers)Microbiology (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Neil Saunders
33 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.4k
- Cell Biology 213
- Ecology 297
- Pollution 105
- Biochemistry 54
Countries citing papers authored by Neil Saunders
This map shows the geographic impact of Neil Saunders'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 Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Saunders more than expected).
Fields of papers citing papers by Neil Saunders
This network shows the impact of papers produced by Neil Saunders. 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 Saunders. The network helps show where Neil Saunders may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil Saunders, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 24 | |
| 2 | 2015 | 18 | |
| 3 | 2014 | 131 | |
| 4 | 2012 | 8 | |
| 5 | 2011 | 5 | |
| 6 | 2010 | 328 | |
| 7 | 2009 | 12 | |
| 8 | 2008 | 269 | |
| 9 | 2008 | 105 | |
| 10 | 2008 | 25 | |
| 11 | 2008 | 53 | |
| 12 | 2005 | 42 | |
| 13 | 2004 | 0 | |
| 14 | 2004 | 47 | |
| 15 | 2003 | 80 | |
| 16 | 1999 | 35 | |
| 17 | 1997 | 101 | |
| 18 | 1997 | 19 | |
| 19 | 1997 | 31 | |
| 20 | 1996 | 19 |
About Neil Saunders
Neil Saunders is a scholar working on Computer Science Applications, Molecular Biology, Ecology, Pollution and Periodontics, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Enzyme Structure and Function (8 papers), Microbial Community Ecology and Physiology (6 papers), Protist diversity and phylogeny (3 papers), Microbial Fuel Cells and Bioremediation (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Hemoglobin structure and function (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cell Biology (213 citations), Ecology (297 citations), Pollution (105 citations) and Biochemistry (54 citations). Neil Saunders has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Boštjan Kobe, Paul M. G. Curmi, Stuart J. Ferguson, Ricardo Cavicchioli, Timothy L. Bailey, Martin C. Frith, Vilmos Fülöp, János Hajdu, Michael Guilhaus and Mark J. Raftery. Their work appears in journals such as Journal of Proteome Research, Molecular Microbiology, Journal of Bacteriology, Microbiology and PLoS Computational Biology.
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.