Ulli Weisz

1.1k total citations · 1 hit paper
9 papers, 708 citations indexed

About

Ulli Weisz is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions and Automotive Engineering. According to data from OpenAlex, Ulli Weisz has authored 9 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 4 papers in General Health Professions and 1 paper in Automotive Engineering. Recurrent topics in Ulli Weisz's work include Climate Change and Health Impacts (5 papers), Air Quality and Health Impacts (4 papers) and Global Health Care Issues (3 papers). Ulli Weisz is often cited by papers focused on Climate Change and Health Impacts (5 papers), Air Quality and Health Impacts (4 papers) and Global Health Care Issues (3 papers). Ulli Weisz collaborates with scholars based in Austria, Germany and United States. Ulli Weisz's co-authors include Helga Weisz, Peter‐Paul Pichler, Willi Haas, Hans‐Peter Hutter, Peter Wallner, Michael Kundi, Cem Ekmekçioğlu, Jürgen M. Pelikan, Sarah Matej and Florian Bachner and has published in prestigious journals such as Critical Reviews in Food Science and Nutrition, International Journal of Environmental Research and Public Health and Resources Conservation and Recycling.

In The Last Decade

Ulli Weisz

8 papers receiving 681 citations

Hit Papers

International comparison of health care carbon footprints 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulli Weisz Austria 6 399 203 155 98 58 9 708
James Smith United Kingdom 8 220 0.6× 108 0.5× 110 0.7× 42 0.4× 110 1.9× 19 464
Nevin Cohen United States 18 288 0.7× 125 0.6× 51 0.3× 36 0.4× 57 1.0× 58 1.1k
Alina Herrmann Germany 13 236 0.6× 163 0.8× 64 0.4× 143 1.5× 35 0.6× 44 819
Sinéad Boylan Australia 17 165 0.4× 184 0.9× 488 3.1× 31 0.3× 97 1.7× 38 977
Peter Day New Zealand 11 255 0.6× 116 0.6× 280 1.8× 22 0.2× 12 0.2× 15 747
Sabrina Havard France 15 320 0.8× 150 0.7× 335 2.2× 72 0.7× 192 3.3× 25 1.0k
Donna Armstrong United States 12 390 1.0× 156 0.8× 64 0.4× 41 0.4× 23 0.4× 20 785
Jared M. Ulmer United States 10 254 0.6× 69 0.3× 147 0.9× 33 0.3× 18 0.3× 13 645
Daniel Kass United States 19 685 1.7× 71 0.3× 120 0.8× 31 0.3× 15 0.3× 28 1.1k
Sarah Carter Australia 12 226 0.6× 116 0.6× 76 0.5× 45 0.5× 11 0.2× 27 608

Countries citing papers authored by Ulli Weisz

Since Specialization
Citations

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

Fields of papers citing papers by Ulli Weisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulli Weisz

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

All Works

9 of 9 papers shown
1.
Singh, Hardeep, Ulli Weisz, Suthirat Kittipongvises, et al.. (2025). The Lancet Commission on Sustainable Health Care measurement framework for advancing sustainable health care transformation. The Lancet Planetary Health. 10(1). 101398–101398.
2.
Eckelman, Matthew J., et al.. (2024). Guiding principles for the next generation of health-care sustainability metrics. The Lancet Planetary Health. 8(8). e603–e609. 8 indexed citations
3.
Weisz, Ulli, Peter‐Paul Pichler, Willi Haas, et al.. (2020). Carbon emission trends and sustainability options in Austrian health care. Resources Conservation and Recycling. 160. 104862–104862. 72 indexed citations
4.
Pichler, Peter‐Paul, et al.. (2019). International comparison of health care carbon footprints. Environmental Research Letters. 14(6). 64004–64004. 425 indexed citations breakdown →
5.
Haas, Willi, Gabriel Bachner, Ulli Weisz, et al.. (2018). Evaluating Health Co-Benefits of Climate Change Mitigation in Urban Mobility. International Journal of Environmental Research and Public Health. 15(5). 880–880. 32 indexed citations
6.
Ekmekçioğlu, Cem, Peter Wallner, Michael Kundi, et al.. (2016). Red meat, diseases, and healthy alternatives: A critical review. Critical Reviews in Food Science and Nutrition. 58(2). 247–261. 131 indexed citations
7.
Weisz, Ulli. (2016). Zur Arbeit an der Natur im Krankenhaus. Perspektiven nachhaltiger Krankenbehandlung. 13. 267–288. 1 indexed citations
8.
Hutter, Hans‐Peter, Michael Kundi, Hanns Moshammer, et al.. (2011). Anpassungsmaßnahmen zur Reduktion von klimawandelinduzierten Gesundheitsrisiken in Österreich. Prävention und Gesundheitsförderung. 6(3). 164–171. 3 indexed citations
9.
Weisz, Ulli, et al.. (2011). Sustainable Hospitals: A Socio-Ecological Approach. GAIA - Ecological Perspectives for Science and Society. 20(3). 191–198. 36 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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