Yasaman Vali

2.8k citations
24 papers · 728 indexed · 1 hit paper · h-index 13
Topics
Liver Disease Diagnosis and Treatment (10 papers)Meta-analysis and systematic reviews (6 papers)Liver Disease and Transplantation (6 papers)

In The Last Decade

Yasaman Vali

23 papers receiving 706 citations

Hit Papers

Prognostic accuracy of FIB‐4, NAFLD fibrosis score and AP...2020202620222024202050100150200

Peers

Yasaman Vali
Comparison fields: 5 of 90
  • Epidemiology 430
  • Hepatology 244
  • Endocrinology, Diabetes and Metabolism 133
  • Surgery 114
  • Physiology 87
Replace Abdul Mannan Khan Minhas with:
Abdul Mannan Khan Minhas United States
Jingfeng Bi China
M Holmes United Kingdom
Mina O. Rakoski United States
Rahul Aggarwal United States
Izza Shahid United States
Constantinos A. Parisinos United Kingdom
Husam M. Salah United States
Fernando Álvarez Guisasola Spain
Dandan Liu United States
Yasaman Vali relative to Abdul Mannan Khan Minhas United States Abdul Mannan Khan Minhas's profile →
Citations per field
00.5×5.0×
Abdul Mannan Khan Minhas · 1×
Citations per year

Countries citing papers authored by Yasaman Vali

Since Specialization
Citations

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

Fields of papers citing papers by Yasaman Vali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasaman Vali

This figure shows the co-authorship network connecting the top 25 collaborators of Yasaman Vali. A scholar is included among the top collaborators of Yasaman Vali 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 Yasaman Vali. Yasaman Vali 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 2
2 3
3 10
4 5
5 3
6 24
7 42
8 29
9 33
10 7
11 31
12 29
13 51
14
Prognostic accuracy of FIB‐4, NAFLD fibrosis score and APRI for NAFLD‐related events: A systematic reviewbreakdown →
226
15 4
16 7
17 37
18 47
19 47
20 12

About Yasaman Vali

Yasaman Vali is a scholar working on Health Informatics, Hepatology and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 728 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Meta-analysis and systematic reviews (6 papers) and Liver Disease and Transplantation (6 papers). The work is most often cited by research in Hepatology (244 citations), Epidemiology (430 citations) and Geriatrics and Gerontology (38 citations). Yasaman Vali has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include Patrick M. Bossuyt, Quentin M. Anstee, Jenny Lee, Mohammad Hadi Zafarmand, Jérôme Boursier, René Spijker, Arash Rashidian, M. Julia Brosnan, Heidrun Sturm and Andrew D Oxman. Their work appears in journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Neuroscience & Biobehavioral Reviews.

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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