Barbara Franceschini

1.8k citations
64 papers · 1.5k · h-index 23

Impact in

Papers in

    • Immune cells in cancer 10
    • Immune Cell Function and Interaction 4
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver physiology and pathology 2

Barbara Franceschini

63 papers receiving 1.5k citations

Peers

Barbara Franceschini
Comparison fields: 5 of 61
  • Developmental Neuroscience 154
  • Immunology 263
  • Hepatology 90
  • Reproductive Medicine 70
  • Oncology 93
Replace Greg Conn with:
Greg Conn United States
Shih-Yu Chen United States
Bentley R. Midkiff United States
Jackie R. Bickenbach United States
Noriko Sanzen Japan
Neil P. Rodrigues United Kingdom
Yanling Wang China
Christopher J. Hindley United Kingdom
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Marc Delcommenne United States
Barbara Franceschini relative to Greg Conn United States Greg Conn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara Franceschini

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Franceschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara Franceschini, 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 Barbara Franceschini Line = papers co-authored together Barbara Franceschini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 199397
3 199592
4 199591
5 202282
6 200575
7 200770
8 200954
9 201954
10 201945
11 202244
12 200342
13 202341
14 200439
15 200638
16 200638
17 202034
18 202327
19 200325
20 202225

About Barbara Franceschini

Barbara Franceschini is a scholar working on Immunology, Hepatology, Developmental Neuroscience, Oncology and Surgery, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune cells in cancer (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Immune Cell Function and Interaction (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Liver physiology and pathology (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Developmental Neuroscience (154 citations), Immunology (263 citations), Hepatology (90 citations), Reproductive Medicine (70 citations) and Oncology (93 citations). Barbara Franceschini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Judith B. Grinspan, Fabio Grizzi, Maurizio Chiriva‐Internati, Cristiana Soldani, Nicola Dioguardi, Matteo Donadon, David Pleasure, Everardo Cobos, Carlo Russo and Ana Lleò. Their work appears in journals such as Digestive and Liver Disease, Liver International, Cancers, Blood and BMC Cancer.

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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