William De Nardo

998 total citations · 2 hit papers
16 papers, 678 citations indexed

About

William De Nardo is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, William De Nardo has authored 16 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in William De Nardo's work include Liver Disease Diagnosis and Treatment (9 papers), Adipose Tissue and Metabolism (5 papers) and Diet, Metabolism, and Disease (3 papers). William De Nardo is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Adipose Tissue and Metabolism (5 papers) and Diet, Metabolism, and Disease (3 papers). William De Nardo collaborates with scholars based in Australia, United States and Canada. William De Nardo's co-authors include Matthew J. Watt, Magdalene K. Montgomery, Paula M. Miotto, Stacey N. Keenan, Gregory R. Steinberg, Jacqueline Bayliss, Ralf B. Schittenhelm, James G. Granneman, Nicholas A. Williamson and Shuai Nie and has published in prestigious journals such as Nature Communications, Endocrine Reviews and Diabetes.

In The Last Decade

William De Nardo

14 papers receiving 668 citations

Hit Papers

The Liver as an Endocrine Organ—Linking NAFLD and Insulin... 2019 2026 2021 2023 2019 2025 100 200 300 400

Peers

William De Nardo
Comparison fields: 5 of 69
  • Epidemiology 419
  • Molecular Biology 230
  • Endocrinology, Diabetes and Metabolism 183
  • Physiology 177
  • Cardiology and Cardiovascular Medicine 102
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Citations per field, relative to William De Nardo
William De Nardo · 1×
Citations per year, relative to William De Nardo
William De Nardo · 1×

Countries citing papers authored by William De Nardo

Since Specialization
Citations

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

Fields of papers citing papers by William De Nardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William De Nardo. 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 William De Nardo. The network helps show where William De Nardo may publish in the future.

Co-authorship network of co-authors of William De Nardo

This figure shows the co-authorship network connecting the top 25 collaborators of William De Nardo. A scholar is included among the top collaborators of William De Nardo 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 William De Nardo. William De Nardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2
Integrative metabolism in MASLD and MASH: Pathophysiology and emerging mechanisms breakdown →
33
3 0
4 20
5 0
6 2
7 17
8 2
9 6
10 22
11 17
12 11
13 14
14 28
15
The Liver as an Endocrine Organ—Linking NAFLD and Insulin Resistance breakdown →
448
16 56

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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