Dong‐Gi Mun
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Glycosylation and Glycoproteins Research 4
- Genomics and Phylogenetic Studies 3
- Spectroscopy 20
- Advanced Proteomics Techniques and Applications 19
- Mass Spectrometry Techniques and Applications 15
- Analytical Chemistry and Chromatography 4
- Co-authors
- Sang‐Won Lee (15 shared papers)Akhilesh Pandey (23 shared papers)Hokeun Kim (10 shared papers)Kishore Garapati (5 shared papers)Mayank Saraswat (5 shared papers)Anil K. Madugundu (6 shared papers)Hangyeore Lee (5 shared papers)Jingi Bae (5 shared papers)
- Journals
- Analytical Chemistry (5 papers)Journal of Proteome Research (5 papers)The Analyst (3 papers)PROTEOMICS (3 papers)Cancers (2 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Dong‐Gi Mun
34 papers receiving 476 citations
Peers
Comparison fields: 5 of 73
- Spectroscopy 179
- Molecular Biology 235
- Cell Biology 52
- Infectious Diseases 54
- Physiology 57
Countries citing papers authored by Dong‐Gi Mun
This map shows the geographic impact of Dong‐Gi Mun'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 Dong‐Gi Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Gi Mun more than expected).
Fields of papers citing papers by Dong‐Gi Mun
This network shows the impact of papers produced by Dong‐Gi Mun. 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 Dong‐Gi Mun. The network helps show where Dong‐Gi Mun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐Gi Mun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2012 | 44 | |
| 3 | 2016 | 38 | |
| 4 | 2015 | 29 | |
| 5 | 2014 | 23 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2023 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2012 | 15 | |
| 17 | 2024 | 13 | |
| 18 | 2011 | 13 | |
| 19 | 2014 | 13 | |
| 20 | 2024 | 12 |
About Dong‐Gi Mun
Dong‐Gi Mun is a scholar working on Molecular Biology, Spectroscopy, Oncology, Infectious Diseases and Surgery, having authored 36 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (19 papers), Mass Spectrometry Techniques and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Glycosylation and Glycoproteins Research (4 papers), Analytical Chemistry and Chromatography (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Spectroscopy (179 citations), Molecular Biology (235 citations), Cell Biology (52 citations), Infectious Diseases (54 citations) and Physiology (57 citations). Dong‐Gi Mun has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Sang‐Won Lee, Akhilesh Pandey, Hokeun Kim, Kishore Garapati, Mayank Saraswat, Anil K. Madugundu, Hangyeore Lee, Jingi Bae, Patrick M. Vanderboom and Su‐Jin Kim. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, The Analyst, PROTEOMICS and Cancers.
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.