David Imo

760 total citations
7 papers, 495 citations indexed

About

David Imo is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions and Organizational Behavior and Human Resource Management. According to data from OpenAlex, David Imo has authored 7 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 3 papers in General Health Professions and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in David Imo's work include Global Public Health Policies and Epidemiology (3 papers), Heavy Metal Exposure and Toxicity (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). David Imo is often cited by papers focused on Global Public Health Policies and Epidemiology (3 papers), Heavy Metal Exposure and Toxicity (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). David Imo collaborates with scholars based in Switzerland, Netherlands and United Kingdom. David Imo's co-authors include Verônica Colpani, Wichor M. Bramer, Rajiv Chowdhury, Shanthi Mendis, Loes Jaspers, Taulant Muka, Raha Pazoki, Oscar H. Franco, Sven J. van der Lee and Abby Falla and has published in prestigious journals such as Cochrane Database of Systematic Reviews, International Journal of Environmental Research and Public Health and European Journal of Epidemiology.

In The Last Decade

David Imo

7 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Imo Switzerland 5 161 99 90 81 81 7 495
Rodrigo H Dias United States 6 121 0.8× 74 0.7× 87 1.0× 91 1.1× 71 0.9× 8 404
Rosa Haghshenas Iran 13 106 0.7× 69 0.7× 110 1.2× 53 0.7× 37 0.5× 36 479
Muhammad Jami Husain United States 15 174 1.1× 136 1.4× 120 1.3× 65 0.8× 114 1.4× 56 800
Alfredo Palacios Argentina 11 88 0.5× 91 0.9× 104 1.2× 32 0.4× 106 1.3× 61 496
Jarnail Singh Thakur India 15 151 0.9× 87 0.9× 133 1.5× 51 0.6× 32 0.4× 31 542
Patricia Soliz United States 11 226 1.4× 111 1.1× 137 1.5× 112 1.4× 97 1.2× 20 708
Liming Li China 10 106 0.7× 155 1.6× 138 1.5× 37 0.5× 40 0.5× 26 508
Wenlong Cui China 14 67 0.4× 49 0.5× 71 0.8× 46 0.6× 54 0.7× 31 364
Nikkil Sudharsanan United States 14 154 1.0× 60 0.6× 88 1.0× 46 0.6× 54 0.7× 46 525
Shabana Tharkar Saudi Arabia 12 102 0.6× 58 0.6× 96 1.1× 56 0.7× 38 0.5× 32 572

Countries citing papers authored by David Imo

Since Specialization
Citations

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

Fields of papers citing papers by David Imo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Imo

This figure shows the co-authorship network connecting the top 25 collaborators of David Imo. A scholar is included among the top collaborators of David Imo 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 David Imo. David Imo 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.
Radtke, Thomas, Dan Norbäck, David Imo, et al.. (2021). Humidification of indoor air for preventing or reducing dryness symptoms or upper respiratory infections in educational settings and at the workplace. Cochrane Database of Systematic Reviews. 2021(12). CD012219–CD012219. 15 indexed citations
2.
Imo, David, Stefanie Muff, Rudolf Schierl, et al.. (2018). Human-biomonitoring and individual soil measurements for children and mothers in an area with recently detected mercury-contaminations and public health concerns: a cross-sectional study. International Journal of Environmental Health Research. 28(4). 391–406. 3 indexed citations
3.
Imo, David, Holger Dressel, Matthias Bopp, et al.. (2018). Predicted Mercury Soil Concentrations from a Kriging Approach for Improved Human Health Risk Assessment. International Journal of Environmental Research and Public Health. 15(7). 1326–1326. 3 indexed citations
4.
Norbäck, Dan, David Imo, Matthias Schwenkglenks, et al.. (2016). Humidification of indoor air for preventing or reducing dryness symptoms or upper respiratory infections in educational settings and at the workplace. Cochrane Database of Systematic Reviews. 5 indexed citations
5.
Chaker, Layal, Abby Falla, Sven J. van der Lee, et al.. (2015). The global impact of non-communicable diseases on macro-economic productivity: a systematic review. European Journal of Epidemiology. 30(5). 357–395. 113 indexed citations
6.
Muka, Taulant, David Imo, Loes Jaspers, et al.. (2015). The global impact of non-communicable diseases on healthcare spending and national income: a systematic review. European Journal of Epidemiology. 30(4). 251–277. 241 indexed citations
7.
Jaspers, Loes, Verônica Colpani, Layal Chaker, et al.. (2014). The global impact of non-communicable diseases on households and impoverishment: a systematic review. European Journal of Epidemiology. 30(3). 163–188. 115 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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