Weiting Su
Impact in
- Paleontology top 5%
- Evolution and Paleontology Studies
- Genetics top 10%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
Papers in
-
- Evolution and Paleontology Studies 8
- Genetics 14
- Genetic diversity and population structure 5
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Wenhui Nie (25 shared papers)Fengtang Yang (14 shared papers)Jinhuan Wang (12 shared papers)Yingxiang Wang (6 shared papers)Xiuguang Mao (4 shared papers)Wan‐Teng Lin (2 shared papers)Malcolm Andrew Ferguson-Smith (5 shared papers)Beiyuan Fu (4 shared papers)
- Journals
- Chromosome Research (7 papers)动物学研究 (2 papers)Biogerontology (1 paper)GigaScience (1 paper)Journal of Food Biochemistry (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Weiting Su
31 papers receiving 577 citations
Peers
Comparison fields: 5 of 82
- Paleontology 115
- Genetics 219
- Ecology, Evolution, Behavior and Systematics 146
- Plant Science 216
- Aging 8
Countries citing papers authored by Weiting Su
This map shows the geographic impact of Weiting Su'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 Weiting Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiting Su more than expected).
Fields of papers citing papers by Weiting Su
This network shows the impact of papers produced by Weiting Su. 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 Weiting Su. The network helps show where Weiting Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiting Su, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 50 | |
| 2 | 2019 | 43 | |
| 3 | 2007 | 41 | |
| 4 | 2008 | 39 | |
| 5 | 2008 | 39 | |
| 6 | 2014 | 38 | |
| 7 | 2007 | 37 | |
| 8 | 2006 | 36 | |
| 9 | 2017 | 36 | |
| 10 | 2005 | 22 | |
| 11 | 2011 | 20 | |
| 12 | 2015 | 20 | |
| 13 | 2005 | 19 | |
| 14 | 2006 | 17 | |
| 15 | 2011 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2009 | 12 | |
| 19 | 2010 | 10 | |
| 20 | 2010 | 10 |
About Weiting Su
Weiting Su is a scholar working on Paleontology, Genetics, Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 585 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (15 papers), Genomics and Phylogenetic Studies (8 papers), Evolution and Paleontology Studies (8 papers), Genetic diversity and population structure (5 papers), Bat Biology and Ecology Studies (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Paleontology (115 citations), Genetics (219 citations), Ecology, Evolution, Behavior and Systematics (146 citations), Plant Science (216 citations) and Aging (8 citations). Weiting Su has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Wenhui Nie, Fengtang Yang, Jinhuan Wang, Yingxiang Wang, Xiuguang Mao, Wan‐Teng Lin, Malcolm Andrew Ferguson-Smith, Beiyuan Fu, Ting Wang and Ling Huang. Their work appears in journals such as Chromosome Research, 动物学研究, Biogerontology, GigaScience and Journal of Food Biochemistry.
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.