Nadege Gunn

2.4k citations
21 papers · 583 indexed · 1 hit paper · h-index 10
Topics
Liver Disease Diagnosis and Treatment (17 papers)Diet, Metabolism, and Disease (8 papers)Liver Disease and Transplantation (4 papers)

In The Last Decade

Nadege Gunn

19 papers receiving 572 citations

Hit Papers

Efficacy and Safety of Aldafermin, an Engineered FGF19 An...2020202620222024202050100150200

Peers

Nadege Gunn
Comparison fields: 5 of 58
  • Epidemiology 439
  • Hepatology 210
  • Endocrinology, Diabetes and Metabolism 188
  • Molecular Biology 159
  • Surgery 82
Replace Hiroshi Ishiba with:
Hiroshi Ishiba Japan
Rashmee Patil United States
Stephanie A. Osganian United States
Hiroyoshi Taketani Japan
Dina Halegoua‐DeMarzio United States
Yasuko Nozaki Japan
Ramchandra Ranvir India
Anuradha Krishnan United States
Monique Allman United States
Masafumi Uno Japan
Nadege Gunn relative to Hiroshi Ishiba Japan Hiroshi Ishiba's profile →
Citations per field
00.5×
Hiroshi Ishiba · 1×
Citations per year

Countries citing papers authored by Nadege Gunn

Since Specialization
Citations

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

Fields of papers citing papers by Nadege Gunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadege Gunn

This figure shows the co-authorship network connecting the top 25 collaborators of Nadege Gunn. A scholar is included among the top collaborators of Nadege Gunn 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 Nadege Gunn. Nadege Gunn 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 0
2 1
3 12
4 59
5 65
6 2
7 5
8 13
9 18
10 24
11 82
12
Lean Nonalcoholic Steatohepatitis and Nonalcoholic Fatty Liver Disease.
1
13
Efficacy and Safety of Aldafermin, an Engineered FGF19 Analog, in a Randomized, Double-Blind, Placebo-Controlled Trial of Patients With Nonalcoholic Steatohepatitisbreakdown →
218
14 5
15 1
16 2
17 41
18 2
19 23
20 9

About Nadege Gunn

Nadege Gunn is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 583 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Diet, Metabolism, and Disease (8 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Hepatology (210 citations), Epidemiology (439 citations) and Endocrinology, Diabetes and Metabolism (188 citations). Nadege Gunn has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mitchell L. Shiffman, Stephen A. Harrison, Anita Kohli, Guy Neff, Ziad Younes, James F. Trotter, Hsiao D. Lieu, Angelo H. Paredes, Mildred D. Gottwald and Lei Ling. Their work appears in journals such as Nature Communications, Gastroenterology and Journal of Hepatology.

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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