Sumi Jang

506 total citations
11 papers, 403 citations indexed

About

Sumi Jang is a scholar working on Molecular Biology, Clinical Biochemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sumi Jang has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sumi Jang's work include Advanced Glycation End Products research (3 papers), Image and Signal Denoising Methods (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Sumi Jang is often cited by papers focused on Advanced Glycation End Products research (3 papers), Image and Signal Denoising Methods (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Sumi Jang collaborates with scholars based in South Korea and United States. Sumi Jang's co-authors include Chankyu Park, Kyu Kwon, Ju‐Young Lee, Kwanghee Baek, Jeongho Kim, Lin Liu, Colette V. Browne, Bum Jung Kim, Byoung‐Seok Lee and Minhan Ka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Human Molecular Genetics.

In The Last Decade

Sumi Jang

10 papers receiving 397 citations

Peers

Sumi Jang
Comparison fields: 5 of 93
  • Clinical Biochemistry 129
  • Molecular Biology 121
  • Physiology 85
  • Neurology 71
  • Health, Toxicology and Mutagenesis 42
Replace Trine Henriksen with:
Trine Henriksen Denmark
Chen-Ping Huang China
Luigi Mosconi Italy
Stephanie Bezzina Wettinger Malta
Paolina Crocco Italy
Line Berthiaume Canada
Patricia B. Swan United States
I. Ceballos France
Gunnel Arnerup Sweden
M. Rothstein United States
Trine Henriksen Denmark View profile →
Citations per field, relative to Sumi Jang
Sumi Jang · 1×
Citations per year, relative to Sumi Jang
Sumi Jang · 1×

Countries citing papers authored by Sumi Jang

Since Specialization
Citations

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

Fields of papers citing papers by Sumi Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumi Jang

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 10
3 13
4 20
5 35
6 30
7 27
8 41
9 7
10 217
11 3

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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