Sungchul Ji
- Molecular Biology
- Hepatology top 2%
- Pharmacology top 1%
- Epidemiology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Ronald G. ThurmanJohn J. LemastersDebra L. LaskinAnne M. PilaroRussell EsterlineKurt JungermannJames N. WeissJoshua I. Goldhaber
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Origins and Evolution of Life (11 papers)Alcohol Consumption and Health Effects (8 papers)
- Cited by
- HepatologyPharmacologyBiochemistry
- Partner nations
- United StatesGermanyChina
In The Last Decade
Sungchul Ji
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 556
- Hepatology 349
- Pharmacology 336
- Epidemiology 302
- Pathology and Forensic Medicine 275
Countries citing papers authored by Sungchul Ji
This map shows the geographic impact of Sungchul Ji'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 Sungchul Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungchul Ji more than expected).
Fields of papers citing papers by Sungchul Ji
This network shows the impact of papers produced by Sungchul Ji. 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 Sungchul Ji. The network helps show where Sungchul Ji may publish in the future.
Co-authorship network of co-authors of Sungchul Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Sungchul Ji. A scholar is included among the top collaborators of Sungchul Ji 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 Sungchul Ji. Sungchul Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | The Bhopalator: an information/energy dual model of the living cell (II) | 5 |
| 9 | 11 | |
| 10 | 24 | |
| 11 | 24-hour gastroesophageal double pH monitoring acid and alkaline gastroesophageal and duodenogastric refluxes in pediatric patients. | 8 |
| 12 | A cell linguistic analysis of apoptosis | 4 |
| 13 | 30 | |
| 14 | 12 | |
| 15 | Schrödinger and the riddle of life Molecular theories of cell life and death | 1 |
| 16 | 127 | |
| 17 | 19 | |
| 18 | 67 | |
| 19 | 3 | |
| 20 | 44 |
About Sungchul Ji
Sungchul Ji is a scholar working on Hepatology, Astronomy and Astrophysics and Pharmacology, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Origins and Evolution of Life (11 papers) and Alcohol Consumption and Health Effects (8 papers). The work is most often cited by research in Hepatology (349 citations), Pharmacology (336 citations) and Biochemistry (132 citations). Sungchul Ji has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ronald G. Thurman, John J. Lemasters, Debra L. Laskin, Anne M. Pilaro, Russell Esterline, Kurt Jungermann, James N. Weiss, Joshua I. Goldhaber, Karlheinz Beckh and Scott T. Lamp. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.