Matthias Kalder

184 total papers · 2.6k total citations
113 papers, 1.8k citations indexed

About

Matthias Kalder is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Matthias Kalder has authored 113 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 16 papers in Public Health, Environmental and Occupational Health and 14 papers in Obstetrics and Gynecology. Recurrent topics in Matthias Kalder's work include Bone health and treatments (14 papers), Cancer Risks and Factors (14 papers) and Global Cancer Incidence and Screening (11 papers). Matthias Kalder is often cited by papers focused on Bone health and treatments (14 papers), Cancer Risks and Factors (14 papers) and Global Cancer Incidence and Screening (11 papers). Matthias Kalder collaborates with scholars based in Germany, France and Greece. Matthias Kalder's co-authors include Karel Kostev, Louis Jacob, Peyman Hadji, M. Ziller, Volker Ziller, Ute‐Susann Albert, Uwe Wagner, Karsten Münstedt, Konstantinos Dinas and Ioannis Kyvernitakis and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthias Kalder

110 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Matthias Kalder 705 284 227 218 213 113 1.8k
Hema N. Viswanathan 348 0.5× 130 0.5× 182 0.8× 97 0.4× 166 0.8× 71 1.7k
Jennifer Blake 172 0.2× 393 1.4× 109 0.5× 306 1.4× 177 0.8× 70 1.7k
Shahram Bahmanyar 322 0.5× 213 0.8× 168 0.7× 114 0.5× 570 2.7× 97 2.3k
Gregory P. Hess 195 0.3× 176 0.6× 120 0.5× 58 0.3× 400 1.9× 83 1.6k
Karen K. Swenson 1.2k 1.7× 266 0.9× 249 1.1× 124 0.6× 417 2.0× 55 2.0k
Jin Long 274 0.4× 159 0.6× 234 1.0× 143 0.7× 289 1.4× 117 2.3k
Jenny M. Kindblom 300 0.4× 346 1.2× 438 1.9× 431 2.0× 143 0.7× 80 2.3k
Gro Berntsen 353 0.5× 274 1.0× 699 3.1× 91 0.4× 304 1.4× 65 2.3k
Karen Smith 208 0.3× 222 0.8× 444 2.0× 77 0.4× 145 0.7× 42 1.6k
Ying Zhou 171 0.2× 168 0.6× 70 0.3× 57 0.3× 197 0.9× 95 1.6k

Countries citing papers authored by Matthias Kalder

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Kalder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Kalder

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kalder. A scholar is included among the top collaborators of Matthias Kalder 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 Matthias Kalder. Matthias Kalder 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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