Séverine Tual

35 papers receiving 675 citations

Peers

Séverine Tual
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 129
  • Pollution 109
  • Plant Science 273
  • Cancer Research 95
  • Neurology 48
Replace Steven T. Singleton with:
Steven T. Singleton United States
Toru Yamauchi Japan
Elisabeth Marcotullio France
Gongchang Yu China
Clément Piel France
Aya Nakajima Japan
Colleen A. Cushing United States
Nagendra Kumar India
Cunxiang Bo China
Yanhua Wang China
Séverine Tual relative to Steven T. Singleton United States Steven T. Singleton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Séverine Tual

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Tual

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Séverine Tual, 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 Séverine Tual Line = papers co-authored together Séverine Tual links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017121
2 2019109
3 201460
4 201753
5 202144
6 201339
7 201830
8 201629
9 201727
10 201326
11 201625
12 200817
13 201914
14 201713
15 201512
16 201011
17 200810
18 201710
19 20107
20 20226

About Séverine Tual

Séverine Tual is a scholar working on Plant Science, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Physiology and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 687 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (13 papers), Air Quality and Health Impacts (3 papers), Asthma and respiratory diseases (3 papers), Indoor Air Quality and Microbial Exposure (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (129 citations), Pollution (109 citations), Plant Science (273 citations), Cancer Research (95 citations) and Neurology (48 citations). Séverine Tual has collaborated with scholars based in France, United States and Luxembourg. Frequent co-authors include Pierre Lebailly, Isabelle Baldi, Bénédicte Clin, Elisabeth Marcotullio, Clément Piel, Camille Pouchieu, Mathilde Boulanger, Camille Carles, Anne Grüber and Catherine Helmer. Their work appears in journals such as Occupational and Environmental Medicine, International Journal of Epidemiology, Cancer Causes & Control, International Archives of Occupational and Environmental Health and Environmental Research.

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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