Peimin Qi
- Molecular Biology top 10%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Immunology
- Co-authors
- Gabriel CorfasCarlos RíoHeather I. RieffAndrew ChessSusan E. ErdmanTatiana LevkovichYassin M. IbrahimEric J. Alm
- Topics
- Virus-based gene therapy research (4 papers)RNA Interference and Gene Delivery (4 papers)Herpesvirus Infections and Treatments (4 papers)
- Partner nations
- United StatesGreeceNetherlands
In The Last Decade
Peimin Qi
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 765
- Genetics 359
- Cellular and Molecular Neuroscience 177
- Oncology 152
- Immunology 138
Countries citing papers authored by Peimin Qi
This map shows the geographic impact of Peimin Qi'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 Peimin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peimin Qi more than expected).
Fields of papers citing papers by Peimin Qi
This network shows the impact of papers produced by Peimin Qi. 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 Peimin Qi. The network helps show where Peimin Qi may publish in the future.
Co-authorship network of co-authors of Peimin Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Peimin Qi. A scholar is included among the top collaborators of Peimin Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peimin Qi. Peimin Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | Generating Chimeric Mice by Using Embryos from Nonsuperovulated BALB/c Mice Compared with Superovulated BALB/c and Albino C57BL/6 Mice. | 4 |
| 3 | 132 | |
| 4 | 7 | |
| 5 | 237 | |
| 6 | Comparison of tetraploid blastocyst microinjection of outbred Crl:CD1(ICR), hybrid B6D2F1/Tac, and inbred C57BL/6NTac embryos for generation of mice derived from embryonic stem cells. | 6 |
| 7 | 49 | |
| 8 | 86 | |
| 9 | 196 | |
| 10 | [Effects of homocysteine on cardiovascular development in early chicken embryo]. | 3 |
| 11 | [Homocysteine-induced neural tube defects in chick embryos and protection of folic acid]. | 2 |
| 12 | 328 | |
| 13 | 81 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 77 | |
| 19 | 2 |
About Peimin Qi
Peimin Qi is a scholar working on Genetics, Developmental Neuroscience and Reproductive Medicine, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Developmental Neuroscience (136 citations), Biological Psychiatry (33 citations) and Genetics (359 citations). Peimin Qi has collaborated with scholars based in United States, Greece and Netherlands. Frequent co-authors include Gabriel Corfas, Carlos Río, Heather I. Rieff, Andrew Chess, Susan E. Erdman, Tatiana Levkovich, Yassin M. Ibrahim, Eric J. Alm, Bernard J. Varian and Antonis Chatzigiagkos. Their work appears in journals such as Nature, Cell 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.