Ja Young Kim-Muller

1.5k citations
15 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Pancreatic function and diabetes (9 papers)FOXO transcription factor regulation (5 papers)Metabolism, Diabetes, and Cancer (5 papers)

In The Last Decade

Ja Young Kim-Muller

15 papers receiving 1.1k citations

Hit Papers

Evidence of β-Cell Dedifferentiation in Human Type 2 Diab...20152026201820222015100200300400

Peers

Ja Young Kim-Muller
Comparison fields: 5 of 77
  • Surgery 750
  • Molecular Biology 481
  • Genetics 438
  • Endocrinology, Diabetes and Metabolism 377
  • Physiology 233
Replace Cristina Alarcón with:
Cristina Alarcón United States
Graeme J. Gowans United Kingdom
Dan Ploug Christensen Denmark
Jean‐Valéry Turatsinze Belgium
Latif Rachdi France
Mindy A. Kendrick United States
Mara Suleiman Italy
Karla F. Leavens United States
Balachandar Nedumaran South Korea
Hwanju Cheon South Korea
Ja Young Kim-Muller relative to Cristina Alarcón United States Cristina Alarcón's profile →
Citations per field
00.5×3.1×
Cristina Alarcón · 1×
Citations per year

Countries citing papers authored by Ja Young Kim-Muller

Since Specialization
Citations

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

Fields of papers citing papers by Ja Young Kim-Muller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja Young Kim-Muller. 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 Ja Young Kim-Muller. The network helps show where Ja Young Kim-Muller may publish in the future.

Co-authorship network of co-authors of Ja Young Kim-Muller

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 62
2 29
3 4
4 1
5 55
6 10
7 49
8 130
9 14
10 75
11
Evidence of β-Cell Dedifferentiation in Human Type 2 Diabetesbreakdown →
418
12 81
13 19
14 60
15 102

About Ja Young Kim-Muller

Ja Young Kim-Muller is a scholar working on Aging, Geriatrics and Gerontology and Physiology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), FOXO transcription factor regulation (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Geriatrics and Gerontology (93 citations), Endocrinology, Diabetes and Metabolism (377 citations) and Surgery (750 citations). Ja Young Kim-Muller has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Domenico Accili, Francesca Cinti, Emi Ishida, Lloyd E. Ratner, Yoshiaki Ohmura, Matilde Masini, Mara Suleiman, Ryotaro Bouchi, P. Rodrigo Sandoval and Lorella Marselli. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

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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