Z. Runlin
Impact in
- Genetics top 5%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Animal Genetics and Reproduction
- Immunology top 10%
- T-cell and B-cell Immunology
- Mast cells and histamine
- Immune Cell Function and Interaction
Papers in
-
- CRISPR and Genetic Engineering 4
- Epigenetics and DNA Methylation 3
- Genetics 11
- Genetic and phenotypic traits in livestock 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Forensic and Genetic Research 3
- Animal Genetics and Reproduction 3
- Co-authors
- Hua Zhong (5 shared papers)Bing Su (5 shared papers)Hong Shi (4 shared papers)Chunjie Xiao (3 shared papers)Cory Teuscher (6 shared papers)Xiaojiang S. Chen (2 shared papers)Xuebin Qi (3 shared papers)Yi Peng (3 shared papers)
- Journals
- BMC Genomics (3 papers)Journal of genetics and genomics (3 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)The Journal of Immunology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Z. Runlin
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Genetics 439
- Immunology 288
- Archeology 83
- Molecular Biology 491
- Oncology 169
Countries citing papers authored by Z. Runlin
This map shows the geographic impact of Z. Runlin'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 Z. Runlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Runlin more than expected).
Fields of papers citing papers by Z. Runlin
This network shows the impact of papers produced by Z. Runlin. 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 Z. Runlin. The network helps show where Z. Runlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. Runlin, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 130 | |
| 2 | 2008 | 120 | |
| 3 | 2007 | 108 | |
| 4 | 2010 | 100 | |
| 5 | 2010 | 97 | |
| 6 | 2006 | 87 | |
| 7 | 1999 | 75 | |
| 8 | 2013 | 54 | |
| 9 | 2014 | 44 | |
| 10 | 2011 | 41 | |
| 11 | 2016 | 41 | |
| 12 | 2012 | 39 | |
| 13 | 2010 | 34 | |
| 14 | 2013 | 32 | |
| 15 | 2003 | 29 | |
| 16 | 2012 | 26 | |
| 17 | 2020 | 24 | |
| 18 | 2012 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2018 | 22 |
About Z. Runlin
Z. Runlin is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Epidemiology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Microtubule and mitosis dynamics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genetic and phenotypic traits in livestock (3 papers), Epigenetics and DNA Methylation (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Forensic and Genetic Research (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Genetics (439 citations), Immunology (288 citations), Archeology (83 citations), Molecular Biology (491 citations) and Oncology (169 citations). Z. Runlin has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Hua Zhong, Bing Su, Hong Shi, Chunjie Xiao, Cory Teuscher, Xiaojiang S. Chen, Xuebin Qi, Yi Peng, Elizabeth P. Blankenhorn and James F. Zachary. Their work appears in journals such as BMC Genomics, Journal of genetics and genomics, American Journal of Respiratory Cell and Molecular Biology, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.