Wanjun Gu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 20
- Genomics and Phylogenetic Studies 16
- RNA modifications and cancer 11
- Circular RNAs in diseases 8
-
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 11
- Co-authors
- Tong Zhou (27 shared papers)David D. Pollock (8 shared papers)Todd A. Castoe (7 shared papers)A. P. Jason de Koning (6 shared papers)Mark A. Batzer (3 shared papers)Zuhong Lu (10 shared papers)Claus O. Wilke (2 shared papers)Xiao Sun (10 shared papers)
- Journals
- PLoS ONE (6 papers)Evolutionary Bioinformatics (5 papers)Bioinformatics (3 papers)Biosystems (3 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wanjun Gu
59 papers receiving 3.2k citations
Wanjun Gu's Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 594
- Molecular Biology 2.5k
- Genetics 616
- Plant Science 682
- Aging 15
Countries citing papers authored by Wanjun Gu
This map shows the geographic impact of Wanjun Gu'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 Wanjun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Gu more than expected).
Fields of papers citing papers by Wanjun Gu
This network shows the impact of papers produced by Wanjun Gu. 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 Wanjun Gu. The network helps show where Wanjun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanjun Gu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Repetitive Elements May Comprise Over Two-Thirds of the Human Genome Hit paper breakdown → | 2011 | 828 |
| 2 | 2009 | 256 | |
| 3 | 2010 | 252 | |
| 4 | 2009 | 180 | |
| 5 | 2004 | 169 | |
| 6 | 2005 | 137 | |
| 7 | 2020 | 136 | |
| 8 | 2004 | 99 | |
| 9 | 2013 | 85 | |
| 10 | 2011 | 83 | |
| 11 | 2014 | 82 | |
| 12 | 2011 | 80 | |
| 13 | 2017 | 68 | |
| 14 | 2018 | 54 | |
| 15 | 2010 | 53 | |
| 16 | 2012 | 52 | |
| 17 | 2017 | 47 | |
| 18 | 2002 | 45 | |
| 19 | 2015 | 45 | |
| 20 | 2008 | 36 |
About Wanjun Gu
Wanjun Gu is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (20 papers), Genomics and Phylogenetic Studies (16 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers), RNA modifications and cancer (11 papers), Circular RNAs in diseases (8 papers), Chromosomal and Genetic Variations (5 papers) and Genetic diversity and population structure (5 papers). The work is most often cited by research in Cancer Research (594 citations), Molecular Biology (2.5k citations), Genetics (616 citations), Plant Science (682 citations) and Aging (15 citations). Wanjun Gu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Tong Zhou, David D. Pollock, Todd A. Castoe, A. P. Jason de Koning, Mark A. Batzer, Zuhong Lu, Claus O. Wilke, Xiao Sun, Jianmin Ma and Xueying Xie. Their work appears in journals such as PLoS ONE, Evolutionary Bioinformatics, Bioinformatics, Biosystems and Frontiers in Oncology.
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.