Jingi Bae

682 citations
15 papers · 219 · h-index 11

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Alzheimer's disease research and treatments
    • Pain Mechanisms and Treatments

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Glycosylation and Glycoproteins Research 2
    • Machine Learning in Bioinformatics 1
    • Advanced Proteomics Techniques and Applications 5
    • Mass Spectrometry Techniques and Applications 4
    • Analytical Chemistry and Chromatography 3

Jingi Bae

13 papers receiving 215 citations

Peers

Jingi Bae
Comparison fields: 5 of 72
  • Spectroscopy 55
  • Physiology 46
  • Molecular Biology 110
  • Hematology 14
  • Neurology 10
Replace Hangyeore Lee with:
Hangyeore Lee South Korea
Tracy R. Keeney United States
Hokeun Kim South Korea
Tharin Limsakun United States
Maria Mikus Sweden
Daniella Muallem United Kingdom
Jacob Rose United States
Daniela Salas Chile
Lisa Staunton Ireland
Ralf A. Husain Germany
Jingi Bae relative to Hangyeore Lee South Korea Hangyeore Lee's profile →
Citations per field
00.5×1.5×1.8×
Hangyeore Lee · 1×
Citations per year

Countries citing papers authored by Jingi Bae

Since Specialization
Citations

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

Fields of papers citing papers by Jingi Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201528
2 201923
3 201420
4 201620
5 202018
6 201818
7 201218
8 202217
9 201516
10 201615
11 201613
12 20217
13 20196
14 20250
15 20240

About Jingi Bae

Jingi Bae is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Oncology and Neurology, having authored 15 papers that have together received 219 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Analytical Chemistry and Chromatography (3 papers), Nerve injury and regeneration (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Glycosylation and Glycoproteins Research (2 papers), Machine Learning in Bioinformatics (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Spectroscopy (55 citations), Physiology (46 citations), Molecular Biology (110 citations), Hematology (14 citations) and Neurology (10 citations). Jingi Bae has collaborated with scholars based in South Korea, Japan and Puerto Rico. Frequent co-authors include Sang‐Won Lee, Hangyeore Lee, Hokeun Kim, Dong‐Gi Mun, Su‐Jin Kim, Daehee Hwang, Hark Kyun Kim, Sehyun Chae, Seungho Lee and Kyunil Rah. Their work appears in journals such as Analytical Chemistry, Molecular & Cellular Proteomics, iScience, Scientific Reports and Progress in Neurobiology.

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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