Susanne Schmitz

108 total papers · 3.4k total citations
70 papers, 2.3k citations indexed

About

Susanne Schmitz is a scholar working on Economics and Econometrics, Immunology and Epidemiology. According to data from OpenAlex, Susanne Schmitz has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 14 papers in Immunology and 12 papers in Epidemiology. Recurrent topics in Susanne Schmitz's work include Labor market dynamics and wage inequality (12 papers), Immune Cell Function and Interaction (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Susanne Schmitz is often cited by papers focused on Labor market dynamics and wage inequality (12 papers), Immune Cell Function and Interaction (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Susanne Schmitz collaborates with scholars based in Ireland, Germany and Luxembourg. Susanne Schmitz's co-authors include Reinhold Förster, Cathal Walsh, Tatjana T. Makovski, Saverio Stranges, Maurice P. Zeegers, Marjan van den Akker, Immo Prinz, Vijaykumar Chennupati, Róisín Adams and R.M. Bruckmaier and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Susanne Schmitz

69 papers receiving 2.2k citations

Hit Papers

Multimorbidity and qualit... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Susanne Schmitz 771 444 277 253 194 70 2.3k
Ehud Kokia 228 0.3× 647 1.5× 190 0.7× 228 0.9× 167 0.9× 69 2.6k
R. Hirsch 306 0.4× 636 1.4× 118 0.4× 129 0.5× 179 0.9× 66 2.5k
James M. Bowen 209 0.3× 252 0.6× 234 0.8× 240 0.9× 152 0.8× 145 2.4k
Guangcai Duan 301 0.4× 296 0.7× 68 0.2× 464 1.8× 75 0.4× 121 2.9k
Karim F. Hirji 613 0.8× 429 1.0× 92 0.3× 283 1.1× 140 0.7× 64 3.0k
Frances M. Moore 185 0.2× 360 0.8× 81 0.3× 188 0.7× 178 0.9× 74 2.4k
Yik Ying Teo 163 0.2× 284 0.6× 307 1.1× 410 1.6× 236 1.2× 62 2.9k
Jiao Huang 96 0.1× 367 0.8× 252 0.9× 156 0.6× 123 0.6× 59 2.5k
Peter Doshi 185 0.2× 1.3k 3.0× 353 1.3× 234 0.9× 234 1.2× 91 3.0k
Li Wei 118 0.2× 254 0.6× 149 0.5× 287 1.1× 237 1.2× 94 2.6k

Countries citing papers authored by Susanne Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Schmitz

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

All Works

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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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