Lindsay Burch
Impact in
- Algebra and Number Theory top 5%
- Commutative Algebra and Its Applications
- Geometry and Topology top 5%
Papers in
-
- Plant tissue culture and regeneration 4
- Ubiquitin and proteasome pathways 4
- Oncology 10
- Cancer-related Molecular Pathways 9
- Co-authors
- Ted R. Hupp (10 shared papers)Howard V. Davies (11 shared papers)Ashley Craig (5 shared papers)R. Horgan (2 shared papers)T. Stuchbury (3 shared papers)Amanda Smith (3 shared papers)Harumi Shimizu (3 shared papers)David Dornan (2 shared papers)
- Journals
- Mathematical Proceedings of the Cambridge Philosophical Society (5 papers)Phytochemistry (4 papers)PLANT PHYSIOLOGY (3 papers)Journal of Biological Chemistry (3 papers)Physiologia Plantarum (3 papers)
- Partner nations
- United KingdomCzechiaUnited States
In The Last Decade
Lindsay Burch
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Algebra and Number Theory 177
- Geometry and Topology 160
- Oncology 468
- Biotechnology 138
- Molecular Biology 935
Countries citing papers authored by Lindsay Burch
This map shows the geographic impact of Lindsay Burch'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 Lindsay Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindsay Burch more than expected).
Fields of papers citing papers by Lindsay Burch
This network shows the impact of papers produced by Lindsay Burch. 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 Lindsay Burch. The network helps show where Lindsay Burch may publish in the future.
Co-authors
The 25 scholars most cited alongside Lindsay Burch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 120 | |
| 2 | 2008 | 117 | |
| 3 | 2009 | 105 | |
| 4 | 1972 | 103 | |
| 5 | 2002 | 99 | |
| 6 | 1988 | 91 | |
| 7 | 2003 | 87 | |
| 8 | 1994 | 84 | |
| 9 | 2008 | 70 | |
| 10 | 1968 | 70 | |
| 11 | 1994 | 64 | |
| 12 | 2003 | 45 | |
| 13 | 1992 | 44 | |
| 14 | 2004 | 40 | |
| 15 | 1993 | 38 | |
| 16 | 1987 | 37 | |
| 17 | 1999 | 35 | |
| 18 | 1993 | 33 | |
| 19 | 1989 | 32 | |
| 20 | 2007 | 31 |
About Lindsay Burch
Lindsay Burch is a scholar working on Molecular Biology, Oncology, Plant Science, Food Science and Algebra and Number Theory, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Potato Plant Research (7 papers), Plant nutrient uptake and metabolism (6 papers), Commutative Algebra and Its Applications (5 papers), Rings, Modules, and Algebras (4 papers), Plant tissue culture and regeneration (4 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Algebra and Number Theory (177 citations), Geometry and Topology (160 citations), Oncology (468 citations), Biotechnology (138 citations) and Molecular Biology (935 citations). Lindsay Burch has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include Ted R. Hupp, Howard V. Davies, Ashley Craig, R. Horgan, T. Stuchbury, Amanda Smith, Harumi Shimizu, David Dornan, L. M. S. Palni and Benjamin J. Harrison. Their work appears in journals such as Mathematical Proceedings of the Cambridge Philosophical Society, Phytochemistry, PLANT PHYSIOLOGY, Journal of Biological Chemistry and Physiologia Plantarum.
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.