Tobacco Induced Diseases

1.4k papers and 12.2k indexed citations i.

About

The 1.4k papers published in Tobacco Induced Diseases in the last decades have received a total of 12.2k indexed citations. Papers published in Tobacco Induced Diseases usually cover Physiology (808 papers), Public Health, Environmental and Occupational Health (308 papers) and Health, Toxicology and Mutagenesis (159 papers) specifically the topics of Smoking Behavior and Cessation (759 papers), Obesity, Physical Activity, Diet (209 papers) and Global Public Health Policies and Epidemiology (156 papers). The most active scholars publishing in Tobacco Induced Diseases are Constantine Vardavas, Katerina Nikitara, Steve Sussman, Brian R. Flay, David A. Scott, Allison C Hoffman, Chadda Rk, Donald R. Demuth, Scott T. Leatherdale and Ruijie Huang.

In The Last Decade

Fields of papers published in Tobacco Induced Diseases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Tobacco Induced Diseases. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Tobacco Induced Diseases.

Countries where authors publish in Tobacco Induced Diseases

Since Specialization
Citations

This map shows the geographic impact of research published in Tobacco Induced Diseases. 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 papers published in Tobacco Induced Diseases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobacco Induced Diseases more than expected).

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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