Minji Jo
Impact in
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
- NF-κB Signaling Pathways
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
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- RNA Research and Splicing 3
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- Protease and Inhibitor Mechanisms 8
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Steven L. Gonias (19 shared papers)Stephen C. Strom (3 shared papers)James E. Esplen (2 shared papers)Kenneth Dorko (2 shared papers)Timothy R. Billiar (1 shared paper)Dai‐Wu Seol (1 shared paper)Tae‐Hyoung Kim (1 shared paper)Robin D. Lester (4 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Cancer Research (4 papers)American Journal Of Pathology (2 papers)Genes to Cells (2 papers)Cancer Science (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Minji Jo
33 papers receiving 2.5k citations
Minji Jo's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 841
- Immunology and Allergy 225
- Oncology 709
- Hepatology 198
- Hematology 225
Countries citing papers authored by Minji Jo
This map shows the geographic impact of Minji Jo'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 Minji Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minji Jo more than expected).
Fields of papers citing papers by Minji Jo
This network shows the impact of papers produced by Minji Jo. 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 Minji Jo. The network helps show where Minji Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minji Jo, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Apoptosis induced in normal human hepatocytes by tumor necrosis factor-related apoptosis-inducing ligand Hit paper breakdown → | 2000 | 703 |
| 2 | 2000 | 287 | |
| 3 | 2007 | 214 | |
| 4 | 2009 | 148 | |
| 5 | 2001 | 113 | |
| 6 | 2003 | 112 | |
| 7 | 2005 | 109 | |
| 8 | 2002 | 83 | |
| 9 | 2005 | 78 | |
| 10 | 2010 | 76 | |
| 11 | 2013 | 68 | |
| 12 | 2010 | 63 | |
| 13 | 2019 | 51 | |
| 14 | 2003 | 51 | |
| 15 | 2009 | 47 | |
| 16 | 2011 | 47 | |
| 17 | 2020 | 44 | |
| 18 | 2011 | 40 | |
| 19 | 1997 | 37 | |
| 20 | 2012 | 32 |
About Minji Jo
Minji Jo is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Immunology and Allergy, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Cell Adhesion Molecules Research (8 papers), Microtubule and mitosis dynamics (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Liver physiology and pathology (3 papers), Cancer Cells and Metastasis (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (841 citations), Immunology and Allergy (225 citations), Oncology (709 citations), Hepatology (198 citations) and Hematology (225 citations). Minji Jo has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Steven L. Gonias, Stephen C. Strom, James E. Esplen, Kenneth Dorko, Timothy R. Billiar, Dai‐Wu Seol, Tae‐Hyoung Kim, Robin D. Lester, Shinako Takimoto and Valérie Montel. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, American Journal Of Pathology, Genes to Cells and Cancer Science.
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.