Sha Ha
Impact in
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Protein purification and stability
- Biotechnology top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
-
- Pneumonia and Respiratory Infections 4
- Cytomegalovirus and herpesvirus research 4
- Herpesvirus Infections and Treatments 4
- Co-authors
- Suzanne Walker (5 shared papers)Richard R. Rustandi (18 shared papers)Deborah Walker (2 shared papers)Yigong Shi (1 shared paper)John W. Loughney (10 shared papers)Yanan Hu (2 shared papers)Ben Gross (1 shared paper)Lan Chen (1 shared paper)
- Journals
- Journal of Chromatography A (4 papers)Analytical Biochemistry (3 papers)Electrophoresis (3 papers)Vaccine (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Sha Ha
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 756
- Biotechnology 92
- Molecular Medicine 51
- Organic Chemistry 259
- Microbiology 51
Countries citing papers authored by Sha Ha
This map shows the geographic impact of Sha Ha'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 Sha Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Ha more than expected).
Fields of papers citing papers by Sha Ha
This network shows the impact of papers produced by Sha Ha. 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 Sha Ha. The network helps show where Sha Ha may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Ha, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 211 | |
| 2 | 2003 | 198 | |
| 3 | 2017 | 77 | |
| 4 | 2002 | 73 | |
| 5 | 1999 | 72 | |
| 6 | 2011 | 57 | |
| 7 | 2012 | 53 | |
| 8 | 2014 | 50 | |
| 9 | 2020 | 48 | |
| 10 | 2017 | 38 | |
| 11 | 2015 | 37 | |
| 12 | 2010 | 33 | |
| 13 | 2005 | 30 | |
| 14 | 2019 | 29 | |
| 15 | 2011 | 27 | |
| 16 | 2016 | 27 | |
| 17 | 2015 | 25 | |
| 18 | 2017 | 21 | |
| 19 | 2014 | 20 | |
| 20 | 2022 | 20 |
About Sha Ha
Sha Ha is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein purification and stability (7 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Pneumonia and Respiratory Infections (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Herpesvirus Infections and Treatments (4 papers), Bacterial Genetics and Biotechnology (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Molecular Biology (756 citations), Biotechnology (92 citations), Molecular Medicine (51 citations), Organic Chemistry (259 citations) and Microbiology (51 citations). Sha Ha has collaborated with scholars based in United States, China and France. Frequent co-authors include Suzanne Walker, Richard R. Rustandi, Deborah Walker, Yigong Shi, John W. Loughney, Yanan Hu, Ben Gross, Lan Chen, Brian V. Falcone and Melissa Hamm. Their work appears in journals such as Journal of Chromatography A, Analytical Biochemistry, Electrophoresis, Vaccine and Proceedings of the National Academy of Sciences.
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.