T. Wind

1.1k total citations
24 papers, 838 citations indexed

About

T. Wind is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, T. Wind has authored 24 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Chemistry, 10 papers in Health, Toxicology and Mutagenesis and 8 papers in Pollution. Recurrent topics in T. Wind's work include Environmental Chemistry and Analysis (12 papers), Mine drainage and remediation techniques (5 papers) and Toxic Organic Pollutants Impact (4 papers). T. Wind is often cited by papers focused on Environmental Chemistry and Analysis (12 papers), Mine drainage and remediation techniques (5 papers) and Toxic Organic Pollutants Impact (4 papers). T. Wind collaborates with scholars based in Germany, United States and United Kingdom. T. Wind's co-authors include Ralf Conrad, Stephan Stubner, Scott E. Belanger, R. Toy, Christof Achtnich, P.B. Dorn, Remi van Compernolle, Stuart Marshall, Geert Boeije and Manuel L. Cano and has published in prestigious journals such as Brain Research, Chemosphere and Ecotoxicology and Environmental Safety.

In The Last Decade

T. Wind

24 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Wind Germany 15 424 345 278 162 101 24 838
Ana Teresa Lombardi Brazil 27 621 1.5× 426 1.2× 561 2.0× 126 0.8× 180 1.8× 96 1.9k
Haixia Tian China 17 290 0.7× 381 1.1× 221 0.8× 89 0.5× 51 0.5× 59 924
Sara Preston United Kingdom 15 160 0.4× 504 1.5× 239 0.9× 50 0.3× 116 1.1× 19 863
Riina Turpeinen Finland 7 308 0.7× 392 1.1× 286 1.0× 90 0.6× 62 0.6× 8 623
Maria da Graça Gama Melão Brazil 19 341 0.8× 241 0.7× 336 1.2× 102 0.6× 79 0.8× 61 1.0k
Xingqing Zhao China 11 124 0.3× 328 1.0× 219 0.8× 201 1.2× 83 0.8× 18 702
Craig D. Phelps United States 16 452 1.1× 707 2.0× 308 1.1× 343 2.1× 183 1.8× 19 1.1k
Fen Yang China 15 157 0.4× 365 1.1× 243 0.9× 127 0.8× 63 0.6× 30 874
Logeshwaran Panneerselvan Australia 19 168 0.4× 535 1.6× 322 1.2× 84 0.5× 90 0.9× 39 994
Xiuying Jia China 20 264 0.6× 365 1.1× 487 1.8× 89 0.5× 130 1.3× 29 1.0k

Countries citing papers authored by T. Wind

Since Specialization
Citations

This map shows the geographic impact of T. Wind'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 T. Wind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wind more than expected).

Fields of papers citing papers by T. Wind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Wind. 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 T. Wind. The network helps show where T. Wind may publish in the future.

Co-authorship network of co-authors of T. Wind

This figure shows the co-authorship network connecting the top 25 collaborators of T. Wind. A scholar is included among the top collaborators of T. Wind 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 T. Wind. T. Wind 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.
Wind, T., et al.. (2021). Environmental risk assessment for relevant ingredients in adhesives and sealants in commonplace industrial uses. Integrated Environmental Assessment and Management. 18(5). 1288–1296. 1 indexed citations
3.
Tolls, Johannes, et al.. (2015). Estimating emissions from adhesives and sealants uses and manufacturing for environmental risk assessments. Integrated Environmental Assessment and Management. 12(1). 185–194. 9 indexed citations
4.
Dobe, Christopher, et al.. (2015). SPERCS—A tool for environmental emission estimation. Integrated Environmental Assessment and Management. 12(4). 772–781. 8 indexed citations
5.
Scheel, Julia, et al.. (2012). Risk assessment of amorphous silicon dioxide nanoparticles in a glass cleaner formulation. Nanotoxicology. 7(5). 974–988. 17 indexed citations
6.
Wind, T., Josef Steber, & Johannes Tolls. (2008). 50 Years of Environmental Monitoring at Henkel. Tenside Surfactants Detergents. 45(3). 144–152. 2 indexed citations
7.
Wind, T. & Scott E. Belanger. (2006). Acute and Chronic Toxicity of Alcohol Ethoxylates to the Green Alga, Desmodesmus (=Scenedesmus) subspicatus, and the Subsequent Development of Structure Activity Relationships. Bulletin of Environmental Contamination and Toxicology. 76(2). 218–225. 9 indexed citations
8.
Belanger, Scott E., P.B. Dorn, R. Toy, et al.. (2006). Aquatic risk assessment of alcohol ethoxylates in North America and Europe. Ecotoxicology and Environmental Safety. 64(1). 85–99. 72 indexed citations
9.
Boeije, Geert, Manuel L. Cano, Stuart Marshall, et al.. (2005). Ecotoxicity quantitative structure–activity relationships for alcohol ethoxylate mixtures based on substance-specific toxicity predictions. Ecotoxicology and Environmental Safety. 64(1). 75–84. 55 indexed citations
10.
Wind, T., et al.. (2005). Determination of the fate of alcohol ethoxylate homologues in a laboratory continuous activated-sludge unit study. Ecotoxicology and Environmental Safety. 64(1). 42–60. 31 indexed citations
11.
Compernolle, Remi van, Drew C. McAvoy, T. Wind, et al.. (2005). Predicting the sorption of fatty alcohols and alcohol ethoxylates to effluent and receiving water solids. Ecotoxicology and Environmental Safety. 64(1). 61–74. 39 indexed citations
12.
Rominger, Jeffrey, et al.. (2005). Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER. Environmental Modelling & Software. 21(7). 925–936. 41 indexed citations
14.
Wind, T., et al.. (2003). Environmental concentrations of boron, LAS, EDTA, NTA and Triclosan simulated with GREAT-ER in the river Itter. Chemosphere. 54(8). 1145–1154. 37 indexed citations
15.
Wind, T., Stephan Stubner, & Ralf Conrad. (1999). Sulfate-reducing Bacteria in Rice Field Soil and on Rice Roots. Systematic and Applied Microbiology. 22(2). 269–279. 66 indexed citations
16.
Stubner, Stephan, T. Wind, & Ralf Conrad. (1998). Sulfur Oxidation in Rice Field Soil: Activity, Enumeration, Isolation and Characterization of Thiosulfate-oxidizing Bacteria. Systematic and Applied Microbiology. 21(4). 569–578. 67 indexed citations
17.
Wind, T., et al.. (1997). Activation of ATP-sensitive potassium channels decreases neuronal injury caused by chemical hypoxia. Brain Research. 751(2). 295–299. 34 indexed citations
18.
Wind, T. & Ralf Conrad. (1997). Localization of sulfate reduction in planted and unplanted rice field soil. Biogeochemistry. 37(3). 253–278. 79 indexed citations
19.
Achtnich, Christof, et al.. (1995). Role of interspecies H2 transfer to sulfate and ferric iron-reducing bacteria in acetate consumption in anoxic paddy soil. FEMS Microbiology Ecology. 16(1). 61–70. 85 indexed citations
20.
Wind, T. & Ralf Conrad. (1995). Sulfur compounds, potential turnover of sulfate and thiosulfate, and numbers of sulfate-reducing bacteria in planted and unplanted paddy soil. FEMS Microbiology Ecology. 18(4). 257–266. 76 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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