Pamela Bielli

3.0k citations
35 papers · 2.3k indexed · 1 hit paper · h-index 22
Topics
RNA Research and Splicing (24 papers)RNA modifications and cancer (20 papers)RNA and protein synthesis mechanisms (6 papers)
Partner nations
ItalyJapanUnited States

In The Last Decade

Pamela Bielli

35 papers receiving 2.2k citations

Hit Papers

mTOR inhibits autophagy by controlling ULK1 ubiquitylatio...20132026201720212013200400600

Peers

Pamela Bielli
Comparison fields: 5 of 99
  • Molecular Biology 1.6k
  • Epidemiology 597
  • Cancer Research 454
  • Cell Biology 244
  • Oncology 166
Replace Heling Pan with:
Heling Pan China
Vladislav O. Sviderskiy United States
Sungman Park United States
Shoshana Paglin United States
Uma Kant Misra United States
Michaël Boyer‐Guittaut France
Qinxi Li China
Cecilia Devlin United States
Hanneke E.C. Niessen Netherlands
Pamela Bielli relative to Heling Pan China Heling Pan's profile →
Citations per field
00.5×6.2×
Heling Pan · 1×
Citations per year

Countries citing papers authored by Pamela Bielli

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Bielli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Bielli

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Bielli. A scholar is included among the top collaborators of Pamela Bielli 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 Pamela Bielli. Pamela Bielli 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 4
2 14
3 11
4 41
5 11
6 29
7 114
8 112
9 28
10 175
11 70
12 52
13 76
14
mTOR inhibits autophagy by controlling ULK1 ubiquitylation, self-association and function through AMBRA1 and TRAF6breakdown →
622
15 135
16 104
17 99
18 7
19 171
20 15

About Pamela Bielli

Pamela Bielli is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (24 papers), RNA modifications and cancer (20 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Cancer Research (454 citations), Molecular Biology (1.6k citations) and Physiology (90 citations). Pamela Bielli has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Claudio Sette, Lilia Calabrese, Gian María Fimia, Matteo Bordi, Maria Paola Paronetto, Manuela Antonioli, Francesca Nazio, Flavie Strappazzon, Francesco Cecconi and Mauro Piacentini. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

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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