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
- Immune Cell Function and Interaction
- Mast cells and histamine
Papers in
-
- CRISPR and Genetic Engineering 4
- Genetics 12
- Forensic and Genetic Research 4
- Genetic and phenotypic traits in livestock 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)Elizabeth P. Blankenhorn (3 shared papers)
- Journals
- Journal of genetics and genomics (3 papers)BMC Genomics (3 papers)The Journal of Immunology (2 papers)Virology (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Z. Runlin
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Genetics 427
- Immunology 304
- Archeology 83
- Molecular Biology 517
- Oncology 175
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 | 116 | |
| 2 | 2008 | 113 | |
| 3 | 2007 | 105 | |
| 4 | 2010 | 89 | |
| 5 | 2006 | 84 | |
| 6 | 1999 | 74 | |
| 7 | 2010 | 72 | |
| 8 | 2013 | 50 | |
| 9 | 2014 | 44 | |
| 10 | 2011 | 41 | |
| 11 | 2016 | 41 | |
| 12 | 2012 | 36 | |
| 13 | 2013 | 32 | |
| 14 | 2010 | 30 | |
| 15 | 2003 | 29 | |
| 16 | 2012 | 25 | |
| 17 | 2012 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2006 | 22 | |
| 20 | 2007 | 22 |
About Z. Runlin
Z. Runlin is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Forensic and Genetic Research (4 papers), CRISPR and Genetic Engineering (4 papers), T-cell and B-cell Immunology (4 papers), Genetic and phenotypic traits in livestock (3 papers), Immune Cell Function and Interaction (3 papers), Microtubule and mitosis dynamics (3 papers), Immunotherapy and Immune Responses (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Genetics (427 citations), Immunology (304 citations), Archeology (83 citations), Molecular Biology (517 citations) and Oncology (175 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, Elizabeth P. Blankenhorn, Yi Peng and James F. Zachary. Their work appears in journals such as Journal of genetics and genomics, BMC Genomics, The Journal of Immunology, Virology and American Journal of Respiratory Cell and Molecular Biology.
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.