Jihui Sha
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
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- Biotin and Related Studies
Papers in
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- Toxoplasma gondii Research Studies 8
- Co-authors
- James A. Wohlschlegel (26 shared papers)Peter J. Bradley (8 shared papers)Ajay A. Vashisht (3 shared papers)Andy S. Moon (3 shared papers)P. Back (3 shared papers)Yasaman Jami‐Alahmadi (4 shared papers)Brian D. Young (1 shared paper)Michael L. Reese (1 shared paper)
- Journals
- mBio (3 papers)Journal of Proteome Research (2 papers)Nature Communications (2 papers)mSphere (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesBrazilArgentina
In The Last Decade
Jihui Sha
27 papers receiving 274 citations
Peers
Comparison fields: 5 of 75
- Parasitology 80
- Cell Biology 41
- Microbiology 13
- Molecular Biology 129
- Epidemiology 60
Countries citing papers authored by Jihui Sha
This map shows the geographic impact of Jihui Sha'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 Jihui Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihui Sha more than expected).
Fields of papers citing papers by Jihui Sha
This network shows the impact of papers produced by Jihui Sha. 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 Jihui Sha. The network helps show where Jihui Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Jihui Sha, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 34 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 17 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Jihui Sha
Jihui Sha is a scholar working on Molecular Biology, Parasitology, Epidemiology, Cell Biology and Immunology, having authored 29 papers that have together received 276 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (8 papers), Cytomegalovirus and herpesvirus research (5 papers), Herpesvirus Infections and Treatments (5 papers), Plant Molecular Biology Research (3 papers), Plant nutrient uptake and metabolism (3 papers), Biotin and Related Studies (3 papers), Smoking Behavior and Cessation (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Parasitology (80 citations), Cell Biology (41 citations), Microbiology (13 citations), Molecular Biology (129 citations) and Epidemiology (60 citations). Jihui Sha has collaborated with scholars based in United States, Brazil and Argentina. Frequent co-authors include James A. Wohlschlegel, Peter J. Bradley, Ajay A. Vashisht, Andy S. Moon, P. Back, Yasaman Jami‐Alahmadi, Brian D. Young, Michael L. Reese, Weixian Deng and Kathrin Plath. Their work appears in journals such as mBio, Journal of Proteome Research, Nature Communications, mSphere and PLoS Pathogens.
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.