Valeria Denninghoff

71 total papers · 471 total citations
33 papers, 249 citations indexed

About

Valeria Denninghoff is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Valeria Denninghoff has authored 33 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Valeria Denninghoff's work include Lung Cancer Treatments and Mutations (7 papers), Cancer Genomics and Diagnostics (5 papers) and Cutaneous Melanoma Detection and Management (5 papers). Valeria Denninghoff is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Cancer Genomics and Diagnostics (5 papers) and Cutaneous Melanoma Detection and Management (5 papers). Valeria Denninghoff collaborates with scholars based in Argentina, Spain and United States. Valeria Denninghoff's co-authors include Boris Elsner, Alejandra Avagnina, Ricardo de Alvarenga Yoshida, Jorge Falcó, Christian Rolfo, Andrea G. Kahn, Alessandro Russo, Diego de Miguel‐Pérez, Umberto Malapelle and Andrés F. Cardona and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Valeria Denninghoff

28 papers receiving 240 citations

Author Peers

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

Author Last Decade Papers Cites
Valeria Denninghoff 94 64 63 58 51 33 249
David Parada 57 0.6× 108 1.7× 45 0.7× 60 1.0× 59 1.2× 50 248
Ece Esin 151 1.6× 59 0.9× 50 0.8× 39 0.7× 65 1.3× 33 313
Tamara Saurí 105 1.1× 44 0.7× 40 0.6× 47 0.8× 64 1.3× 30 223
Yoko Zaitsu 125 1.3× 74 1.2× 25 0.4× 105 1.8× 37 0.7× 30 255
Genki Usui 78 0.8× 81 1.3× 51 0.8× 81 1.4× 99 1.9× 25 287
Myoung Won Son 101 1.1× 100 1.6× 54 0.9× 61 1.1× 67 1.3× 35 259
Su‐Han Jin 71 0.8× 60 0.9× 82 1.3× 47 0.8× 107 2.1× 31 310
Fredrik Petersson 66 0.7× 117 1.8× 47 0.7× 90 1.6× 111 2.2× 28 308
Massimo Vergine 104 1.1× 61 1.0× 53 0.8× 46 0.8× 64 1.3× 30 319
Cristina Iosif 99 1.1× 82 1.3× 45 0.7× 81 1.4× 66 1.3× 34 276

Countries citing papers authored by Valeria Denninghoff

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Denninghoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Denninghoff

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