Tim G. Downing

1.6k total citations
31 papers, 1.3k citations indexed

About

Tim G. Downing is a scholar working on Environmental Chemistry, Biochemistry and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tim G. Downing has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Chemistry, 14 papers in Biochemistry and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tim G. Downing's work include Aquatic Ecosystems and Phytoplankton Dynamics (15 papers), Amino Acid Enzymes and Metabolism (12 papers) and Biocrusts and Microbial Ecology (9 papers). Tim G. Downing is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (15 papers), Amino Acid Enzymes and Metabolism (12 papers) and Biocrusts and Microbial Ecology (9 papers). Tim G. Downing collaborates with scholars based in South Africa, Australia and Germany. Tim G. Downing's co-authors include Michelle M. Gehringer, Maranda Esterhuizen‐Londt, Maryna van de Venter, Enid Shephard, Simoné Downing, Claudia Wiegand, Sandra Anne Banack, Paul Alan Cox, James S. Metcalf and W.D. Leukes and has published in prestigious journals such as The International Journal of Biochemistry & Cell Biology, Toxicology and Applied Pharmacology and Ecotoxicology and Environmental Safety.

In The Last Decade

Tim G. Downing

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim G. Downing South Africa 20 770 383 353 317 293 31 1.3k
Michelle M. Gehringer Australia 19 1.1k 1.4× 563 1.5× 541 1.5× 342 1.1× 247 0.8× 36 1.6k
Louise F. Morrison United Kingdom 14 1.4k 1.8× 825 2.2× 451 1.3× 593 1.9× 302 1.0× 19 2.2k
Pedro Reis Costa Portugal 27 1.2k 1.5× 541 1.4× 234 0.7× 361 1.1× 441 1.5× 84 1.8k
Zouher Amzil France 32 2.1k 2.7× 1.3k 3.3× 94 0.3× 587 1.9× 877 3.0× 100 2.8k
Fumio Kondo Japan 27 1.8k 2.4× 1.2k 3.2× 704 2.0× 476 1.5× 312 1.1× 76 2.6k
Véronique Séchet France 25 983 1.3× 555 1.4× 26 0.1× 282 0.9× 463 1.6× 55 1.5k
Sara Jonasson Sweden 8 204 0.3× 122 0.3× 51 0.1× 206 0.6× 223 0.8× 11 660
Darı́o Andrinolo Argentina 21 1.3k 1.7× 629 1.6× 320 0.9× 312 1.0× 218 0.7× 50 1.6k
Maree J. Smith Australia 11 1.0k 1.3× 348 0.9× 275 0.8× 244 0.8× 94 0.3× 18 1.2k
Robyn K. Chiswell Australia 11 1.0k 1.3× 334 0.9× 266 0.8× 234 0.7× 95 0.3× 14 1.2k

Countries citing papers authored by Tim G. Downing

Since Specialization
Citations

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

Fields of papers citing papers by Tim G. Downing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim G. Downing. 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 Tim G. Downing. The network helps show where Tim G. Downing may publish in the future.

Co-authorship network of co-authors of Tim G. Downing

This figure shows the co-authorship network connecting the top 25 collaborators of Tim G. Downing. A scholar is included among the top collaborators of Tim G. Downing 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 Tim G. Downing. Tim G. Downing 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
1.
2.
Downing, Tim G., et al.. (2022). β-N-methylamino-l-alanine is a non-competitive inhibitor of vesicular monoamine transporter 2. Toxicon. 222. 106978–106978. 3 indexed citations
3.
Downing, Tim G., et al.. (2021). Neonatal Reserpine Administration Produces Widespread Neuronal Losses and ⍺-Synuclein Inclusions in a Rat Model. Neurotoxicity Research. 39(6). 1762–1770. 12 indexed citations
4.
Scott, Laura, et al.. (2020). Evaluating amino acids as protectants against β-N-methylamino-l-alanine-induced developmental neurotoxicity in a rat model. Toxicology and Applied Pharmacology. 403. 115140–115140. 4 indexed citations
5.
Scott, Laura, Simoné Downing, & Tim G. Downing. (2018). Potential for dietary exposure to β-N-methylamino-L-alanine and microcystin from a freshwater system. Toxicon. 150. 261–266. 11 indexed citations
6.
Downing, Tim G., et al.. (2018). BMAA-protein interactions: A possible new mechanism of toxicity. Toxicon. 143. 74–80. 30 indexed citations
7.
Downing, Tim G., et al.. (2015). Bacteria do not incorporate β-N-methylamino-l-alanine into their proteins. Toxicon. 102. 55–61. 34 indexed citations
8.
Esterhuizen‐Londt, Maranda, Claudia Wiegand, & Tim G. Downing. (2015). β-N-methylamino-l-alanine (BMAA) uptake by the animal model, Daphnia magna and subsequent oxidative stress. Toxicon. 100. 20–26. 31 indexed citations
9.
Scott, Laura, et al.. (2014). Environmental modulation of microcystin and β-N-methylamino-l-alanine as a function of nitrogen availability. Toxicon. 87. 1–5. 31 indexed citations
10.
Banack, Sandra Anne, James S. Metcalf, Zdeněk Spáčil, et al.. (2011). Distinguishing the cyanobacterial neurotoxin β-N-methylamino-l-alanine (BMAA) from other diamino acids. Toxicon. 57(5). 730–738. 53 indexed citations
11.
Esterhuizen‐Londt, Maranda, Stephan Pflugmacher, & Tim G. Downing. (2010). β-N-Methylamino-l-alanine (BMAA) uptake by the aquatic macrophyte Ceratophyllum demersum. Ecotoxicology and Environmental Safety. 74(1). 74–77. 35 indexed citations
12.
Banack, Sandra Anne, Tim G. Downing, Zdeněk Spáčil, et al.. (2010). Distinguishing the cyanobacterial neurotoxin β-N-methylamino-l-alanine (BMAA) from its structural isomer 2,4-diaminobutyric acid (2,4-DAB). Toxicon. 56(6). 868–879. 51 indexed citations
13.
Esterhuizen‐Londt, Maranda & Tim G. Downing. (2008). β-N-methylamino-l-alanine (BMAA) in novel South African cyanobacterial isolates. Ecotoxicology and Environmental Safety. 71(2). 309–313. 154 indexed citations
14.
Downing, Tim G., et al.. (2007). Optimization of laboratory scale production and purification of microcystin-LR from pure cultures of Microcystis aeruginosa. AFRICAN JOURNAL OF BIOTECHNOLOGY. 6(21). 2451–2457. 15 indexed citations
15.
Downing, Tim G., et al.. (2006). Traditional herbal medicines : microbial contamination, consumer safety and the need for standards : research letter. South African Journal of Science. 102. 253–255. 19 indexed citations
16.
17.
Gehringer, Michelle M., et al.. (2004). Comparison of the structure of key variants of microcystin to vasopressin. Environmental Toxicology and Pharmacology. 19(2). 297–303. 10 indexed citations
18.
Gehringer, Michelle M., Enid Shephard, Tim G. Downing, Claudia Wiegand, & Brett A. Neilan. (2003). An investigation into the detoxification of microcystin-LR by the glutathione pathway in Balb/c mice. The International Journal of Biochemistry & Cell Biology. 36(5). 931–941. 119 indexed citations
19.
Gehringer, Michelle M., et al.. (2003). The role of microcystin-LR in the induction of apoptosis and oxidative stress in CaCo2 cells. Toxicon. 43(1). 85–92. 105 indexed citations
20.
Hatfill, S.J., et al.. (1993). A role for mitochondrial DNA in the pathogenesis of radiation-induced myelodysplasia and secondary leukemia. Leukemia Research. 17(11). 907–913. 13 indexed citations

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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