Daniel Ferguson

2.1k citations
22 papers · 794 · 1 hit paper · h-index 11

Impact in

Papers in

Daniel Ferguson

21 papers receiving 790 citations

Daniel Ferguson's Hit Papers

Emerging therapeutic approaches for the treatment of NAFLD and type 2 diabetes mellitus 2021 · 342 citations
3420+1+3Years since publication100200300

Peers

Daniel Ferguson
Comparison fields: 5 of 76
  • Epidemiology 369
  • Endocrinology, Diabetes and Metabolism 170
  • Biochemistry 68
  • Hepatology 74
  • Physiology 178
Replace Yong‐Hyun Han with:
Yong‐Hyun Han South Korea
Benita L. McVicker United States
Nikolaos Dedousis United States
Jeong Su Park South Korea
Zhen Sun China
Fareeba Sheedfar Netherlands
Tura Ferré Spain
Karla F. Leavens United States
Laia Vilà Spain
Michal Ganz United States
Daniel Ferguson relative to Yong‐Hyun Han South Korea Yong‐Hyun Han's profile →
Citations per field
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Yong‐Hyun Han · 1×
Citations per year

Countries citing papers authored by Daniel Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging therapeutic approaches for the treatment of NAFLD and type 2 diabetes mellitus
Hit paper breakdown →
2021342
2 2020127
3 201793
4 202332
5 201628
6 202227
7 202126
8 201923
9 201716
10 202015
11 202314
12 201810
13 20218
14 20247
15 20237
16 20226
17 20236
18 20244
19 20251
20 20211

About Daniel Ferguson

Daniel Ferguson is a scholar working on Molecular Biology, Physiology, Epidemiology, Biochemistry and Surgery, having authored 22 papers that have together received 794 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism and Genetic Disorders (4 papers), Lipid metabolism and biosynthesis (4 papers), Diet, Metabolism, and Disease (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diet and metabolism studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Epidemiology (369 citations), Endocrinology, Diabetes and Metabolism (170 citations), Biochemistry (68 citations), Hepatology (74 citations) and Physiology (178 citations). Daniel Ferguson has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Brian N. Finck, Charles Harris, Irina Hutson, Gretchen A. Meyer, Kyle S. McCommis, Richard Lee, Robert N. Helsley, Yun‐Rak Choi, Kelsey H. Collins and Christine T. N. Pham. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, iScience, Diabetes and Cell Reports.

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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