Tine L.M. Hectors

627 total citations
7 papers, 499 citations indexed

About

Tine L.M. Hectors is a scholar working on Health, Toxicology and Mutagenesis, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tine L.M. Hectors has authored 7 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 2 papers in Surgery and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tine L.M. Hectors's work include Effects and risks of endocrine disrupting chemicals (5 papers), Pancreatic function and diabetes (2 papers) and Estrogen and related hormone effects (1 paper). Tine L.M. Hectors is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (5 papers), Pancreatic function and diabetes (2 papers) and Estrogen and related hormone effects (1 paper). Tine L.M. Hectors collaborates with scholars based in Belgium and Canada. Tine L.M. Hectors's co-authors include Caroline Vanparys, Ronny Blust, Philippe G. Jorens, Anna Pereira-Fernandes, Geert A. Martens, Adrian Covaci, Luc F. Van Gaal, Wim De Coen, Karlijn van der Ven and Heidi Demaegdt and has published in prestigious journals such as PLoS ONE, Environmental Health Perspectives and Diabetologia.

In The Last Decade

Tine L.M. Hectors

7 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tine L.M. Hectors Belgium 7 315 110 88 52 52 7 499
Alice Marmugi France 8 330 1.0× 74 0.7× 96 1.1× 51 1.0× 29 0.6× 9 551
Monika Rönn Sweden 12 424 1.3× 76 0.7× 49 0.6× 39 0.8× 44 0.8× 15 605
Priscila L. Podratz Brazil 17 385 1.2× 46 0.4× 55 0.6× 87 1.7× 44 0.8× 22 693
Takashige Kawakami Japan 14 326 1.0× 75 0.7× 122 1.4× 54 1.0× 116 2.2× 31 675
Phillip G. Kopf United States 10 206 0.7× 69 0.6× 142 1.6× 21 0.4× 36 0.7× 16 527
Timothy A. Roy United States 15 161 0.5× 53 0.5× 74 0.8× 27 0.5× 68 1.3× 31 537
Fengjiang Sun China 11 193 0.6× 31 0.3× 74 0.8× 47 0.9× 71 1.4× 21 422
Se-A Kim South Korea 12 169 0.5× 117 1.1× 101 1.1× 27 0.5× 18 0.3× 16 469
Rahul Pathak India 16 250 0.8× 51 0.5× 146 1.7× 44 0.8× 81 1.6× 23 648
Eduardo Merlo Brazil 16 407 1.3× 49 0.4× 49 0.6× 99 1.9× 46 0.9× 22 661

Countries citing papers authored by Tine L.M. Hectors

Since Specialization
Citations

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

Fields of papers citing papers by Tine L.M. Hectors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tine L.M. Hectors. 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 Tine L.M. Hectors. The network helps show where Tine L.M. Hectors may publish in the future.

Co-authorship network of co-authors of Tine L.M. Hectors

This figure shows the co-authorship network connecting the top 25 collaborators of Tine L.M. Hectors. A scholar is included among the top collaborators of Tine L.M. Hectors 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 Tine L.M. Hectors. Tine L.M. Hectors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Pereira-Fernandes, Anna, Caroline Vanparys, Tine L.M. Hectors, et al.. (2013). Unraveling the mode of action of an obesogen: Mechanistic analysis of the model obesogen tributyltin in the 3T3-L1 cell line. Molecular and Cellular Endocrinology. 370(1-2). 52–64. 41 indexed citations
2.
Hectors, Tine L.M., Caroline Vanparys, Luc F. Van Gaal, et al.. (2013). Insulin Resistance and Environmental Pollutants: Experimental Evidence and Future Perspectives. Environmental Health Perspectives. 121(11-12). 1273–1281. 37 indexed citations
3.
Pereira-Fernandes, Anna, Heidi Demaegdt, K. Vandermeiren, et al.. (2013). Evaluation of a Screening System for Obesogenic Compounds: Screening of Endocrine Disrupting Compounds and Evaluation of the PPAR Dependency of the Effect. PLoS ONE. 8(10). e77481–e77481. 145 indexed citations
4.
Hectors, Tine L.M., Caroline Vanparys, Anna Pereira-Fernandes, Geert A. Martens, & Ronny Blust. (2013). Evaluation of the INS-1 832/13 Cell Line as a Beta-Cell Based Screening System to Assess Pollutant Effects on Beta-Cell Function. PLoS ONE. 8(3). e60030–e60030. 35 indexed citations
5.
Hectors, Tine L.M., Caroline Vanparys, Anna Pereira-Fernandes, Dries Knapen, & Ronny Blust. (2012). Mechanistic evaluation of the insulin response in H4IIE hepatoma cells: New endpoints for toxicity testing?. Toxicology Letters. 212(2). 180–189. 10 indexed citations
6.
Hectors, Tine L.M., Caroline Vanparys, Karlijn van der Ven, et al.. (2011). Environmental pollutants and type 2 diabetes: a review of mechanisms that can disrupt beta cell function. Diabetologia. 54(6). 1273–1290. 222 indexed citations
7.
Vanparys, Caroline, Tine L.M. Hectors, Ronny Blust, & Wim De Coen. (2011). Mechanistic profiling of the cAMP-dependent steroidogenic pathway in the H295R endocrine disrupter screening system: New endpoints for toxicity testing. Toxicology Letters. 208(2). 174–184. 9 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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