Daniele Baiz

13 papers and 488 indexed citations i.

About

Daniele Baiz is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Daniele Baiz has authored 13 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Oncology. Recurrent topics in Daniele Baiz’s work include Meningioma and schwannoma management (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Daniele Baiz is often cited by papers focused on Meningioma and schwannoma management (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Daniele Baiz collaborates with scholars based in United States, Italy and United Kingdom. Daniele Baiz's co-authors include George Kulik, Sazzad Hassan, Yelena Karpova, Ashok Pullikuth, Ralph B. D’Agostino, Sandeep Robert Datta, Rossella Farra, Gabriele Grassi, Nika N. Danial and J. Mark Cline and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Daniele Baiz i

Fields of papers citing papers by Daniele Baiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Baiz

Since Specialization
Citations

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

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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2025