David M. Goodall
- Spectroscopy top 0.5%
- Analytical Chemistry and Chromatography 49
- Mass Spectrometry Techniques and Applications 10
- Analytical Chemistry top 0.5%
- Food Science top 1%
- Pesticide Residue Analysis and Safety 10
- Biomedical Engineering top 1%
- Microfluidic and Capillary Electrophoresis Applications 59
- Innovative Microfluidic and Catalytic Techniques Innovation 22
- Microfluidic and Bio-sensing Technologies 11
- Bioengineering top 2%
- Analytical Chemistry and Sensors 13
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- Spectroscopy and Quantum Chemical Studies 10
- Co-authors
- Ian T. NortonManus M. RoganKevin D. AltriaEdmund T. BergströmDavid A. ReesSharron G. PennJohn S. LoranBrendan J. Keely
- Journals
- Journal of the American Chemical Society (1 paper)Accounts of Chemical Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
David M. Goodall
133 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 130
- Spectroscopy 1.6k
- Analytical Chemistry 457
- Food Science 827
- Biomedical Engineering 1.8k
- Bioengineering 187
Countries citing papers authored by David M. Goodall
This map shows the geographic impact of David M. Goodall'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 David M. Goodall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Goodall more than expected).
Fields of papers citing papers by David M. Goodall
This network shows the impact of papers produced by David M. Goodall. 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 David M. Goodall. The network helps show where David M. Goodall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Goodall, 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 | 2007 | 16 | |
| 2 | 2007 | 6 | |
| 3 | 2006 | 12 | |
| 4 | 2005 | 21 | |
| 5 | 2005 | 15 | |
| 6 | 2005 | 171 | |
| 7 | 2005 | 83 | |
| 8 | 2004 | 61 | |
| 9 | 2003 | 21 | |
| 10 | 2003 | 92 | |
| 11 | 2003 | 25 | |
| 12 | 2001 | 5 | |
| 13 | 2001 | 9 | |
| 14 | 2000 | 20 | |
| 15 | 2000 | 32 | |
| 16 | 1996 | 52 | |
| 17 | 1994 | 55 | |
| 18 | 1994 | 47 | |
| 19 | 1993 | 120 | |
| 20 | 1966 | 54 |
About David M. Goodall
David M. Goodall is a scholar working on Spectroscopy, Bioengineering and Biomedical Engineering, having authored 133 papers that have together received 3.9k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (59 papers), Analytical Chemistry and Chromatography (49 papers), Innovative Microfluidic and Catalytic Techniques Innovation (22 papers), Analytical Chemistry and Sensors (13 papers), Microfluidic and Bio-sensing Technologies (11 papers), Spectroscopy and Quantum Chemical Studies (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Pesticide Residue Analysis and Safety (10 papers). The work is most often cited by research in Spectroscopy (1.6k citations), Analytical Chemistry (457 citations) and Food Science (827 citations). David M. Goodall has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Ian T. Norton, Manus M. Rogan, Kevin D. Altria, Edmund T. Bergström, David A. Rees, Sharron G. Penn, John S. Loran, Brendan J. Keely, Pawel L. Urban and Neil C. Bruce. Their work appears in journals such as Journal of the American Chemical Society, Accounts of Chemical Research 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.