Garron T. Dodd

2.6k citations
32 papers · 1.9k indexed · 1 hit paper · h-index 22
Topics
Regulation of Appetite and Obesity (17 papers)Adipose Tissue and Metabolism (13 papers)Pancreatic function and diabetes (8 papers)

In The Last Decade

Garron T. Dodd

32 papers receiving 1.9k citations

Hit Papers

Obesity Drives STAT-1-Dependent NASH and STAT-3-Dependent...2018202620202023201850100150200250

Peers

Garron T. Dodd
Comparison fields: 5 of 97
  • Physiology 671
  • Endocrine and Autonomic Systems 623
  • Molecular Biology 596
  • Epidemiology 438
  • Nutrition and Dietetics 256
Replace Sravan K. Goparaju with:
Sravan K. Goparaju Japan
Kim Loh Australia
Pedro J. Camello Spain
Gergő Szanda Hungary
Hyung Hwan Baik South Korea
Sudarshana Purkayastha United States
Blanka Železná Czechia
Daniel Sanchı́s Spain
Bengt‐Frederik Belgardt Germany
Daniel I. Benjamin United States
Garron T. Dodd relative to Sravan K. Goparaju Japan Sravan K. Goparaju's profile →
Citations per field
00.5×3.3×
Sravan K. Goparaju · 1×
Citations per year

Countries citing papers authored by Garron T. Dodd

Since Specialization
Citations

This map shows the geographic impact of Garron T. Dodd'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 Garron T. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garron T. Dodd more than expected).

Fields of papers citing papers by Garron T. Dodd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garron T. Dodd. 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 Garron T. Dodd. The network helps show where Garron T. Dodd may publish in the future.

Co-authorship network of co-authors of Garron T. Dodd

This figure shows the co-authorship network connecting the top 25 collaborators of Garron T. Dodd. A scholar is included among the top collaborators of Garron T. Dodd 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 Garron T. Dodd. Garron T. Dodd 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 5
2 3
3 20
4 7
5 21
6 15
7 31
8 63
9 92
10 70
11 38
12 60
13
Obesity Drives STAT-1-Dependent NASH and STAT-3-Dependent HCCbreakdown →
280
14 54
15 30
16 319
17 153
18 97
19 72
20 21

About Garron T. Dodd

Garron T. Dodd is a scholar working on Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (17 papers), Adipose Tissue and Metabolism (13 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (623 citations), Physiology (671 citations) and Nutrition and Dietetics (256 citations). Garron T. Dodd has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Tony Tiganis, Zhong‐Yin Zhang, Simon M. Luckman, Florian Wiede, Michael A. Cowley, Zane B. Andrews, Stephanie E. Simonds, Troy L. Merry, Matthew J. Watt and Jens C. Brüning. Their work appears in journals such as Nature, Cell and Nature Communications.

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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