Joon Ha

1.1k citations
29 papers · 755 · h-index 14

Impact in

Papers in

Joon Ha

28 papers receiving 748 citations

Peers

Joon Ha
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 330
  • Surgery 332
  • Physiology 22
  • Genetics 114
  • Physiology 85
Replace A. M. Scott with:
A. M. Scott United Kingdom
Anthony H. Stonehouse United States
Leslie Glass United Kingdom
Giorgia Tascini Italy
Melissa Meredith United States
Mari L. Lund Denmark
Seika Kato Japan
Marianthe Hamilton-Wessler United States
Kavaljit H. Chhabra United States
Hisashi Koide Japan
Joon Ha relative to A. M. Scott United Kingdom A. M. Scott's profile →
Citations per field
00.5×20×40×56×
A. M. Scott · 1×
Citations per year

Countries citing papers authored by Joon Ha

Since Specialization
Citations

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

Fields of papers citing papers by Joon Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015183
2 201775
3 201564
4 201758
5 201654
6 202042
7 201639
8 201636
9 201528
10 201928
11 202121
12 202318
13 202217
14 202014
15 202013
16 202011
17 202211
18 201310
19 20216
20 20236

About Joon Ha

Joon Ha is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 755 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Pancreatic function and diabetes (8 papers), Diabetes Management and Research (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (330 citations), Surgery (332 citations), Physiology (22 citations), Genetics (114 citations) and Physiology (85 citations). Joon Ha has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Arthur Sherman, Leslie S. Satin, Peter C. Butler, Stephanie T. Chung, Richard Bertram, Anne E. Sumner, Joseph P. McKenna, Matthew J. Merrins, LILIAN MABUNDO and Alexey Kuznetsov. Their work appears in journals such as Diabetes Research and Clinical Practice, The Journal of Clinical Endocrinology & Metabolism, Biophysical Journal, American Journal of Physiology-Endocrinology and Metabolism and BMJ Open Diabetes Research & Care.

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.

Explore authors with similar magnitude of impact