Gennaro Palmiotti

653 citations
22 papers · 332 indexed · h-index 9
Topics
Cancer Immunotherapy and Biomarkers (10 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Hepatocellular Carcinoma Treatment and Prognosis (4 papers)
Partner nations
ItalySpain

In The Last Decade

Gennaro Palmiotti

22 papers receiving 329 citations

Peers

Gennaro Palmiotti
Comparison fields: 5 of 57
  • Oncology 163
  • Pulmonary and Respiratory Medicine 105
  • Molecular Biology 74
  • Cancer Research 61
  • Radiology, Nuclear Medicine and Imaging 55
Replace Franz J. Hilke with:
Franz J. Hilke Germany
Davide Bosso Italy
Valentina Tateo Italy
Nikoletta Sidiropoulos United States
Zuoxing Niu China
Long-Zi Liu China
Francesca Comito Italy
Hironori Betsunoh Japan
Bharathi Vennapusa United States
Francesca Sparano Italy
Gennaro Palmiotti relative to Franz J. Hilke Germany Franz J. Hilke's profile →
Citations per field
00.5×1.5×2.0×
Franz J. Hilke · 1×
Citations per year

Countries citing papers authored by Gennaro Palmiotti

Since Specialization
Citations

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

Fields of papers citing papers by Gennaro Palmiotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gennaro Palmiotti

This figure shows the co-authorship network connecting the top 25 collaborators of Gennaro Palmiotti. A scholar is included among the top collaborators of Gennaro Palmiotti 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 Gennaro Palmiotti. Gennaro Palmiotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 3
3 1
4 72
5 5
6 1
7 3
8 6
9 3
10 82
11 52
12 2
13 3
14 5
15 3
16 14
17 22
18 6
19 9
20 19

About Gennaro Palmiotti

Gennaro Palmiotti is a scholar working on Oncology, Hepatology and Cancer Research, having authored 22 papers that have together received 332 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Oncology (163 citations), Hepatology (42 citations) and Cancer Research (61 citations). Gennaro Palmiotti has collaborated with scholars based in Italy and Spain. Frequent co-authors include Alessandro Rizzo, Antonio Cusmai, Gennaro Gadaleta‐Caldarola, L. Rinaldi, Silvana Acquafredda, A. Misino, Elisabetta Montagna, Francesco Giotta, Maria Colomba Comes and Annarita Fanizzi. Their work appears in journals such as Oncotarget, Cells and Cancers.

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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