Ping Xia
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Hemoglobinopathies and Related Disorders
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- CRISPR and Genetic Engineering 10
- Pluripotent Stem Cells Research 3
- Genetics 11
- Virus-based gene therapy research 10
- Co-authors
- Punam Malik (9 shared papers)Lloyd A. Culp (2 shared papers)Paritha Arumugam (4 shared papers)Jessica Scholes (2 shared papers)Jiing‐Kuan Yee (2 shared papers)Natalya Perelman (2 shared papers)François Moreau‐Gaudry (3 shared papers)Tomoyasu Higashimoto (3 shared papers)
- Journals
- Molecular Therapy (5 papers)Blood (4 papers)Optics Letters (2 papers)Experimental Cell Research (2 papers)Stem Cells (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Ping Xia
19 papers receiving 688 citations
Peers
Comparison fields: 5 of 62
- Genetics 425
- Genetics 113
- Immunology and Allergy 61
- Molecular Biology 507
- Infectious Diseases 107
Countries citing papers authored by Ping Xia
This map shows the geographic impact of Ping Xia'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 Ping Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Xia more than expected).
Fields of papers citing papers by Ping Xia
This network shows the impact of papers produced by Ping Xia. 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 Ping Xia. The network helps show where Ping Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 144 | |
| 2 | 2001 | 100 | |
| 3 | 2007 | 92 | |
| 4 | 2009 | 61 | |
| 5 | 2009 | 57 | |
| 6 | 2001 | 49 | |
| 7 | 2009 | 39 | |
| 8 | 1995 | 38 | |
| 9 | 1994 | 36 | |
| 10 | 2004 | 29 | |
| 11 | 2013 | 23 | |
| 12 | 2009 | 8 | |
| 13 | 2014 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 1993 | 4 | |
| 16 | 1994 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 1997 | 1 | |
| 19 | 2005 | 1 |
About Ping Xia
Ping Xia is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Atomic and Molecular Physics, and Optics and Oncology, having authored 19 papers that have together received 696 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), CRISPR and Genetic Engineering (10 papers), Viral gastroenteritis research and epidemiology (5 papers), Pluripotent Stem Cells Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Photorefractive and Nonlinear Optics (2 papers), Advanced Fiber Laser Technologies (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Genetics (425 citations), Genetics (113 citations), Immunology and Allergy (61 citations), Molecular Biology (507 citations) and Infectious Diseases (107 citations). Ping Xia has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Punam Malik, Lloyd A. Culp, Paritha Arumugam, Jessica Scholes, Jiing‐Kuan Yee, Natalya Perelman, François Moreau‐Gaudry, Tomoyasu Higashimoto, Fabrizia Urbinati and Licheng Zeng. Their work appears in journals such as Molecular Therapy, Blood, Optics Letters, Experimental Cell Research and Stem Cells.
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.