Naba Al‐Sari

7 papers receiving 337 citations

Naba Al‐Sari's Hit Papers

An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD) 2024 · 138 citations
1380+1Years since publication4080120

Peers

Naba Al‐Sari
Comparison fields: 5 of 114
  • Hepatology 22
  • Epidemiology 80
  • Endocrinology, Diabetes and Metabolism 39
  • Developmental Biology 4
  • Biochemistry 11
Replace Kenta Sato with:
Kenta Sato Japan
Seyed Ahmad Hosseini Iran
Ruifang Shi China
Robert H. Crawford Australia
Makoto Shirai Japan
Chang Wook Park South Korea
Jiamin Yan China
Bérénice Charrez United States
Yukio Iwamura Japan
Zhiyi Liao China
Naba Al‐Sari relative to Kenta Sato Japan Kenta Sato's profile →
Citations per field
00.5×5×10×13.5×
Kenta Sato · 1×
Citations per year

Countries citing papers authored by Naba Al‐Sari

Since Specialization
Citations

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

Fields of papers citing papers by Naba Al‐Sari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naba Al‐Sari. 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 Naba Al‐Sari. The network helps show where Naba Al‐Sari may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2020142
2
An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD)
Hit paper breakdown →
2024138
3 202117
4 202016
5 202214
6 202411
7 20234

About Naba Al‐Sari

Naba Al‐Sari is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology and Genetics, having authored 7 papers that have together received 342 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Diabetes Management and Research (1 paper), Muscle metabolism and nutrition (1 paper), Diabetes and associated disorders (1 paper), Adipose Tissue and Metabolism (1 paper), Lipid metabolism and disorders (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (22 citations), Epidemiology (80 citations), Endocrinology, Diabetes and Metabolism (39 citations), Developmental Biology (4 citations) and Biochemistry (11 citations). Naba Al‐Sari has collaborated with scholars based in United Kingdom, Denmark and Sweden. Frequent co-authors include Cristina Legido‐Quigley, Ismo Matias Mattila, Linda L. Ahonen, Ashfaq Ali, Sven Olaf Skouby, Søren Brunak, Åsa B. Tornberg, Tibor V. Varga, José Alejandro Romero Herrera and Tommi Suvitaival. Their work appears in journals such as EBioMedicine, Nature Metabolism, Diabetes/Metabolism Research and Reviews, Scientific Reports and PLoS ONE.

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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