Xinjun Ji
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
-
- RNA modifications and cancer 17
- RNA Research and Splicing 14
- RNA and protein synthesis mechanisms 8
- Epigenetics and DNA Methylation 2
-
- Cancer-related molecular mechanisms research 2
- Co-authors
- Stephen A. Liebhaber (18 shared papers)David Baillat (1 shared paper)Kenneth J. Finn (1 shared paper)Amy E. Pasquinelli (1 shared paper)Ramin Shiekhattar (1 shared paper)Thimmaiah P. Chendrimada (1 shared paper)Richard I. Gregory (1 shared paper)Jian Kong (4 shared papers)
- Journals
- Molecular and Cellular Biology (6 papers)Biochemistry and Cell Biology (3 papers)Nucleic Acids Research (2 papers)Blood (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Xinjun Ji
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 379
- Genetics 149
- Molecular Biology 881
- Aging 20
- Hematology 77
Countries citing papers authored by Xinjun Ji
This map shows the geographic impact of Xinjun 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 Xinjun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinjun Ji more than expected).
Fields of papers citing papers by Xinjun Ji
This network shows the impact of papers produced by Xinjun 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 Xinjun Ji. The network helps show where Xinjun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinjun 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 397 | |
| 2 | 2018 | 111 | |
| 3 | 2004 | 110 | |
| 4 | 2008 | 103 | |
| 5 | 2004 | 74 | |
| 6 | 2015 | 46 | |
| 7 | 2012 | 40 | |
| 8 | 2003 | 40 | |
| 9 | 2013 | 39 | |
| 10 | 2003 | 38 | |
| 11 | 2016 | 35 | |
| 12 | 2007 | 30 | |
| 13 | 2011 | 29 | |
| 14 | 2017 | 26 | |
| 15 | 2018 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2000 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2019 | 3 |
About Xinjun Ji
Xinjun Ji is a scholar working on Molecular Biology, Cancer Research, Genetics, Physiology and Hematology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (17 papers), RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (8 papers), Hemoglobinopathies and Related Disorders (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Epigenetics and DNA Methylation (2 papers), Iron Metabolism and Disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (379 citations), Genetics (149 citations), Molecular Biology (881 citations), Aging (20 citations) and Hematology (77 citations). Xinjun Ji has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Stephen A. Liebhaber, David Baillat, Kenneth J. Finn, Amy E. Pasquinelli, Ramin Shiekhattar, Thimmaiah P. Chendrimada, Richard I. Gregory, Jian Kong, M. Celeste Simon and Regina M. Young. Their work appears in journals such as Molecular and Cellular Biology, Biochemistry and Cell Biology, Nucleic Acids Research, Blood and Journal of Biological Chemistry.
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.