Ping Ji
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 18
- RNA modifications and cancer 16
- RNA and protein synthesis mechanisms 8
- Oncology 17
- Cancer-related Molecular Pathways 7
- Co-authors
- Carsten Müller‐Tidow (11 shared papers)Wolfgang E. Berdel (10 shared papers)Hubert Serve (9 shared papers)Sven Diederichs (7 shared papers)Ralf Metzger (4 shared papers)Etmar Bulk (4 shared papers)Paul M. Schneider (3 shared papers)Michael Thomas (2 shared papers)
- Journals
- Oncogene (6 papers)Cancer Research (3 papers)The Journal of Pathology (3 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ping Ji
91 papers receiving 5.2k citations
Ping Ji's Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 2.4k
- Molecular Biology 3.5k
- Oncology 637
- Hematology 211
- Immunology 279
Countries citing papers authored by Ping Ji
This map shows the geographic impact of Ping 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 Ping Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Ji more than expected).
Fields of papers citing papers by Ping Ji
This network shows the impact of papers produced by Ping 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 Ping Ji. The network helps show where Ping Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Ji, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MALAT-1, a novel noncoding RNA, and thymosin β4 predict metastasis and survival in early-stage non-small cell lung cancer Hit paper breakdown → | 2003 | 1858 |
| 2 | 2013 | 313 | |
| 3 | 2004 | 243 | |
| 4 | 2004 | 168 | |
| 5 | 2014 | 154 | |
| 6 | 2009 | 153 | |
| 7 | 2018 | 127 | |
| 8 | 2014 | 106 | |
| 9 | 2015 | 103 | |
| 10 | 2009 | 99 | |
| 11 | 2021 | 97 | |
| 12 | 2015 | 92 | |
| 13 | 2014 | 91 | |
| 14 | 2004 | 91 | |
| 15 | 2014 | 83 | |
| 16 | 2004 | 78 | |
| 17 | 2010 | 70 | |
| 18 | 2016 | 69 | |
| 19 | 2019 | 56 | |
| 20 | 2017 | 52 |
About Ping Ji
Ping Ji is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Genetics, having authored 96 papers that have together received 5.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (18 papers), RNA modifications and cancer (16 papers), MicroRNA in disease regulation (8 papers), RNA and protein synthesis mechanisms (8 papers), Cancer-related Molecular Pathways (7 papers), Cancer-related molecular mechanisms research (6 papers), Platelet Disorders and Treatments (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (3.5k citations), Oncology (637 citations), Hematology (211 citations) and Immunology (279 citations). Ping Ji has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Carsten Müller‐Tidow, Wolfgang E. Berdel, Hubert Serve, Sven Diederichs, Ralf Metzger, Etmar Bulk, Paul M. Schneider, Michael Thomas, Wenbing Wang and Sebastian Böing. Their work appears in journals such as Oncogene, Cancer Research, The Journal of Pathology, Journal of Biological Chemistry and PLoS ONE.
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.