Nina Buttmann‐Schweiger

53 total papers · 1.1k total citations
31 papers, 615 citations indexed

About

Nina Buttmann‐Schweiger is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Nina Buttmann‐Schweiger has authored 31 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 7 papers in Surgery and 7 papers in Oncology. Recurrent topics in Nina Buttmann‐Schweiger's work include Cervical Cancer and HPV Research (9 papers), Global Cancer Incidence and Screening (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Nina Buttmann‐Schweiger is often cited by papers focused on Cervical Cancer and HPV Research (9 papers), Global Cancer Incidence and Screening (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Nina Buttmann‐Schweiger collaborates with scholars based in Germany, Denmark and Netherlands. Nina Buttmann‐Schweiger's co-authors include Klaus Kraywinkel, Kristina Bardenheuer, Thai Do Minh, Jürgen Dinger, Alexander Luyten, Stefanie J. Klug, Karl Ulrich Petry, Bernd Holleczek, Christina Poethko‐Müller and Florian Heitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Cancer.

In The Last Decade

Nina Buttmann‐Schweiger

31 papers receiving 590 citations

Author Peers

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

Author Last Decade Papers Cites
Nina Buttmann‐Schweiger 264 152 128 126 83 31 615
Wendy Likes 221 0.8× 222 1.5× 176 1.4× 189 1.5× 63 0.8× 28 676
Daniel M. Breitkopf 174 0.7× 114 0.8× 104 0.8× 137 1.1× 193 2.3× 42 646
Barbara S. Apgar 351 1.3× 182 1.2× 106 0.8× 130 1.0× 140 1.7× 32 640
M.W. Beckmann 86 0.3× 141 0.9× 154 1.2× 71 0.6× 134 1.6× 40 657
T Kauraniemi 154 0.6× 64 0.4× 152 1.2× 117 0.9× 77 0.9× 18 641
Divya A. Patel 194 0.7× 291 1.9× 110 0.9× 80 0.6× 104 1.3× 18 678
M. E. Crowther 86 0.3× 84 0.6× 249 1.9× 63 0.5× 122 1.5× 25 602
James Nuovo 187 0.7× 74 0.5× 113 0.9× 50 0.4× 54 0.7× 30 537
S de Sanjosé 217 0.8× 50 0.3× 174 1.4× 54 0.4× 41 0.5× 19 642
Kerstin Nilsson 73 0.3× 115 0.8× 152 1.2× 75 0.6× 89 1.1× 26 524

Countries citing papers authored by Nina Buttmann‐Schweiger

Since Specialization
Citations

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

Fields of papers citing papers by Nina Buttmann‐Schweiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Buttmann‐Schweiger. 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 Nina Buttmann‐Schweiger. The network helps show where Nina Buttmann‐Schweiger may publish in the future.

Co-authorship network of co-authors of Nina Buttmann‐Schweiger

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Buttmann‐Schweiger. A scholar is included among the top collaborators of Nina Buttmann‐Schweiger 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 Nina Buttmann‐Schweiger. Nina Buttmann‐Schweiger 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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