Milena Pariali

1.6k citations
31 papers · 1.2k indexed · 1 hit paper · h-index 15

Milena Pariali

30 papers receiving 1.2k citations

Hit Papers

CNS Myelin and Sertoli Cell Tight Junction Strands Are Ab...5831999202620082017100200300400500

Peers

Milena Pariali
Comparison fields: 5 of 96
  • Neurology 300
  • Reproductive Medicine 159
  • Developmental Neuroscience 61
  • Hepatology 112
  • Oncology 323
Replace Yulong Han with:
Yulong Han United States
Sho Morioka United States
Huafeng Wei China
Juan P. Cerliani Argentina
Veela B. Mehta United States
Yuan Qiu China
Olivier Toutirais France
Neil Broadway United Kingdom
Matthew J. Kan United States
Hedwich F. Kuipers United States
Milena Pariali relative to Yulong Han United States Yulong Han's profile →
Citations per field
00.5×12.4×
Yulong Han · 1×
Citations per year

Countries citing papers authored by Milena Pariali

Since Specialization
Citations

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

Fields of papers citing papers by Milena Pariali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 201932
3 201754
4 20153
5 20154
6 201318
7 20118
8 200812
9 200714
10 2007133
11 200721
12 200615
13 20063
14 20066
15 20064
16 200622
17 20069
18 200525
19 200518
20
CNS Myelin and Sertoli Cell Tight Junction Strands Are Absent in Osp/Claudin-11 Null Micebreakdown →
1999583

About Milena Pariali

Milena Pariali is a scholar working on Hepatology, Cancer Research and Surgery, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (12 papers), Liver Disease and Transplantation (11 papers), Liver physiology and pathology (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Neurological diseases and metabolism (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (300 citations), Reproductive Medicine (159 citations) and Developmental Neuroscience (61 citations). Milena Pariali has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Cherie M. Southwood, Bechara Kachar, John Danias, Gavin P. Riordan, Alexander Gow, Scott E. Brodie, Jeff M. Bronstein, Robert A. Lazzarini, Pasquale Chieco and Franco Bazzoli. Their work appears in journals such as Liver International, Digestive and Liver Disease, Transplantation Proceedings, Scientific Reports and Clinical Cancer Research.

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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