Tim G. Downing

1.6k citations
31 papers · 1.3k · h-index 20

Impact in

Papers in

Tim G. Downing

31 papers receiving 1.3k citations

Peers

Tim G. Downing
Comparison fields: 5 of 94
  • Environmental Chemistry 770
  • Biochemistry 250
  • Oceanography 383
  • Ecology, Evolution, Behavior and Systematics 353
  • Ecology 317
Replace Louise F. Morrison with:
Louise F. Morrison United Kingdom
Michelle M. Gehringer Australia
Zouher Amzil France
Sara Jonasson Sweden
Véronique Séchet France
Pedro Reis Costa Portugal
Damien Réveillon France
Sandra Lage Sweden
Fumio Kondo Japan
Simoné Downing South Africa
Tim G. Downing relative to Louise F. Morrison United Kingdom Louise F. Morrison's profile →
Citations per field
00.5×1.5×
Louise F. Morrison · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Tim G. Downing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim G. Downing Line = papers co-authored together Tim G. Downing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008154
2 2003119
3 2005112
4 2005106
5 2003105
6 201199
7 200380
8 200461
9 201153
10 201051
11 201144
12 201035
13 201534
14 201431
15 201531
16 201830
17 201425
18 201723
19 201720
20
Traditional herbal medicines : microbial contamination, consumer safety and the need for standards : research letter
200619

About Tim G. Downing

Tim G. Downing is a scholar working on Environmental Chemistry, Biochemistry, Ecology, Evolution, Behavior and Systematics, Oceanography and Ecology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (15 papers), Amino Acid Enzymes and Metabolism (12 papers), Biocrusts and Microbial Ecology (9 papers), Marine and coastal ecosystems (8 papers), Microbial Community Ecology and Physiology (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurological diseases and metabolism (4 papers) and Biochemical Acid Research Studies (3 papers). The work is most often cited by research in Environmental Chemistry (770 citations), Biochemistry (250 citations), Oceanography (383 citations), Ecology, Evolution, Behavior and Systematics (353 citations) and Ecology (317 citations). Tim G. Downing has collaborated with scholars based in South Africa, Australia and Germany. Frequent co-authors include Michelle M. Gehringer, Maranda Esterhuizen‐Londt, Maryna van de Venter, Simoné Downing, Enid Shephard, Claudia Wiegand, James S. Metcalf, Paul Alan Cox, Sandra Anne Banack and W.D. Leukes. Their work appears in journals such as Toxicon, South African Journal of Science, Neurotoxicity Research, Ecotoxicology and Environmental Safety and Microbial Ecology.

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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