Jina Hong

1.1k citations
18 papers · 859 indexed · h-index 11
Topics
Adipose Tissue and Metabolism (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)Metabolism, Diabetes, and Cancer (3 papers)

In The Last Decade

Jina Hong

16 papers receiving 849 citations

Peers

Jina Hong
Comparison fields: 5 of 92
  • Physiology 355
  • Epidemiology 263
  • Endocrinology, Diabetes and Metabolism 202
  • Molecular Biology 180
  • Endocrine and Autonomic Systems 141
Replace Caroline Fernandes‐Santos with:
Caroline Fernandes‐Santos Brazil
Wataru Kameda Japan
Kalyani G. Bharadwaj United States
Alison E. Harvey United States
Solaleh Emamgholipour Iran
Christina Cochrane United States
Rocío Vila‐Bedmar Spain
Atul R. Chopra United States
Stephanie Pack United States
Nathalie Véga France
Jina Hong relative to Caroline Fernandes‐Santos Brazil Caroline Fernandes‐Santos's profile →
Citations per field
00.5×1.5×
Caroline Fernandes‐Santos · 1×
Citations per year

Countries citing papers authored by Jina Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jina Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jina Hong

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 0
3 12
4 3
5 2
6 0
7 10
8 14
9 6
10 265
11 163
12 31
13 15
14 51
15
Alcohol consumption, obesity, estrogen treatment and breast cancer.
12
16
Obesity impairs wound healing in ovariectomized female mice.
13
17 253
18 8

About Jina Hong

Jina Hong is a scholar working on Aging, Biochemistry and Endocrine and Autonomic Systems, having authored 18 papers that have together received 859 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (141 citations), Physiology (355 citations) and Endocrinology, Diabetes and Metabolism (202 citations). Jina Hong has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Nomelí P. Núñez, Renee Stubbins, Valerie B. Holcomb, Alison E. Harvey, Karen C. Poh, Doo-Young Kim, Jahae Kim, J. Carl Barrett, V. A. Tutelyan and Jin–Woong Cho. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Nutrients and Cancer Letters.

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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