Natalia Pediconi

3.5k citations
34 papers · 2.8k indexed · 1 hit paper · h-index 20
Topics
Cancer-related Molecular Pathways (8 papers)Hepatitis B Virus Studies (7 papers)Epigenetics and DNA Methylation (6 papers)
Partner nations
ItalyFranceUnited States

In The Last Decade

Natalia Pediconi

33 papers receiving 2.8k citations

Hit Papers

IFN-α inhibits HBV transcription and replication in cell ...20122026201620212012100200300400

Peers

Natalia Pediconi
Comparison fields: 5 of 104
  • Molecular Biology 1.6k
  • Epidemiology 1.0k
  • Oncology 712
  • Hepatology 702
  • Cancer Research 362
Replace Jean‐Philippe Theurillat with:
Jean‐Philippe Theurillat Switzerland
M Riggs United States
Cong Liu China
Andrew Y. Choo United States
Cheng-Ming Chiang United States
Yayoi Kimura Japan
Katja Pokrovskaja Tamm Sweden
Giuseppe Di Tullio Italy
James D. Bretz United States
Tarik Regad United Kingdom
Natalia Pediconi relative to Jean‐Philippe Theurillat Switzerland Jean‐Philippe Theurillat's profile →
Citations per field
00.5×7.1×
Jean‐Philippe Theurillat · 1×
Citations per year

Countries citing papers authored by Natalia Pediconi

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Pediconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Pediconi

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Pediconi. A scholar is included among the top collaborators of Natalia Pediconi 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 Natalia Pediconi. Natalia Pediconi 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 0
2 3
3 1
4 14
5 26
6 10
7 108
8 6
9 17
10 67
11 53
12 19
13 33
14 5
15 1
16 119
17 360
18 299
19 9
20 261

About Natalia Pediconi

Natalia Pediconi is a scholar working on Biophysics, Biochemistry and Biological Psychiatry, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Hepatitis B Virus Studies (7 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Hepatology (702 citations), Epidemiology (1.0k citations) and Oncology (712 citations). Natalia Pediconi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Massimo Levrero, Laura Belloni, Teresa Pollicino, Giovanni Raimondo, Francesca Guerrieri, Antonio Costanzo, Giovanni Squadrito, G. Raffa, Giovanni Blandino and Clara Balsano. Their work appears in journals such as Journal of Clinical Investigation, Molecular Cell and Gastroenterology.

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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