Daniela Basso

10.2k citations
295 papers · 6.5k · h-index 42

Impact in

    • Celiac Disease Research and Management
  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Helicobacter pylori-related gastroenterology studies 38
    • Pancreatitis Pathology and Treatment 30
    • Pancreatic and Hepatic Oncology Research 47

Daniela Basso

285 papers receiving 6.4k citations

Peers

Daniela Basso
Comparison fields: 5 of 143
  • Gastroenterology 487
  • Oncology 1.3k
  • Surgery 2.0k
  • Immunology 891
  • Cancer Research 513
Replace Jae Hee Cheon with:
Jae Hee Cheon South Korea
Minhu Chen China
Antonia R. Sepulveda United States
Dong Soo Han South Korea
Tuomo J. Karttunen Finland
In Sung Song South Korea
Hiroyuki Okada Japan
Luís Bujanda Spain
Yong Chan Lee South Korea
Jan H. Kleibeuker Netherlands
Daniela Basso relative to Jae Hee Cheon South Korea Jae Hee Cheon's profile →
Citations per field
00.5×1.5×
Jae Hee Cheon · 1×
Citations per year

Countries citing papers authored by Daniela Basso

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Basso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Basso Line = papers co-authored together Daniela Basso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 295 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008303
2 2019258
3 2005229
4 2020216
5 2004180
6 2010177
7 2010176
8 2000161
9 2004124
10 200796
11 199692
12 200784
13 200976
14 200675
15 201373
16 200870
17 199870
18 199570
19 200667
20 200264

About Daniela Basso

Daniela Basso is a scholar working on Surgery, Oncology, Epidemiology, Molecular Biology and Immunology, having authored 295 papers that have together received 6.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (47 papers), Helicobacter pylori-related gastroenterology studies (38 papers), Pancreatitis Pathology and Treatment (30 papers), Neuroendocrine Tumor Research Advances (21 papers), SARS-CoV-2 detection and testing (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Celiac Disease Research and Management (11 papers) and Galectins and Cancer Biology (10 papers). The work is most often cited by research in Gastroenterology (487 citations), Oncology (1.3k citations), Surgery (2.0k citations), Immunology (891 citations) and Cancer Research (513 citations). Daniela Basso has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mario Plebani, Andrea Padoan, Paola Fogar, Filippo Navaglia, Carlo‐Federico Zambon, Massimo Rugge, Eliana Greco, Sergio Pedrazzoli, Johannes G. Kusters and Francesco Di Mario. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Pancreas, PLoS ONE and Helicobacter.

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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