Daniela Bianconi

28 total papers · 430 total citations
23 papers, 305 citations indexed

About

Daniela Bianconi is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela Bianconi has authored 23 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 11 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela Bianconi's work include Pancreatic and Hepatic Oncology Research (9 papers), Cancer Genomics and Diagnostics (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). Daniela Bianconi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (9 papers), Cancer Genomics and Diagnostics (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). Daniela Bianconi collaborates with scholars based in Austria, Switzerland and United States. Daniela Bianconi's co-authors include Gerald W. Prager, Matthias Unseld, Markus Kieler, Werner Scheithauer, Gabriela Kornek, Christoph Zielinski, Martin Schindl, Alexandra Kaider, Leonhard Müllauer and Merima Herac and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Daniela Bianconi

22 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Daniela Bianconi	160	100	73	64	57	23	305
Shunichi Ishigami	165 1.0×	105 1.1×	83 1.1×	41 0.6×	36 0.6×	25	342
Akira Gochi	168 1.1×	121 1.2×	40 0.5×	75 1.2×	30 0.5×	29	363
Alessandra Capuano	91 0.6×	136 1.4×	61 0.8×	55 0.9×	71 1.2×	26	302
J Simony	168 1.1×	124 1.2×	105 1.4×	79 1.2×	40 0.7×	21	343
Gabriel Mak	198 1.2×	99 1.0×	35 0.5×	71 1.1×	32 0.6×	20	287
Hanna Nyström	153 1.0×	107 1.1×	102 1.4×	37 0.6×	41 0.7×	18	270
S. Brugnara	173 1.1×	136 1.4×	61 0.8×	88 1.4×	22 0.4×	18	314
Jodi A. McKenzie	119 0.7×	155 1.6×	54 0.7×	71 1.1×	22 0.4×	30	298
Chun Zhuang	72 0.5×	200 2.0×	103 1.4×	81 1.3×	32 0.6×	25	325
Ágatha Martín	210 1.3×	105 1.1×	68 0.9×	43 0.7×	31 0.5×	15	323

Countries citing papers authored by Daniela Bianconi

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Bianconi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Bianconi

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