Ying Bai
- Parasitology top 0.1%
- Infectious Diseases top 0.5%
- Virology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 5%
- Co-authors
- Michael KosoyKenneth L. GageLynn M. OsikowiczLeonard F. PeruskiLile MalaniaKriangkrai LerdthusneeHidenori KabeyaSoichi Maruyama
- Topics
- Bartonella species infections research (59 papers)Viral Infections and Vectors (52 papers)Vector-borne infectious diseases (38 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ying Bai
98 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 98
- Parasitology 2.2k
- Infectious Diseases 1.9k
- Virology 554
- Public Health, Environmental and Occupational Health 467
- Genetics 389
Countries citing papers authored by Ying Bai
This map shows the geographic impact of Ying Bai'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 Ying Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Bai more than expected).
Fields of papers citing papers by Ying Bai
This network shows the impact of papers produced by Ying Bai. 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 Ying Bai. The network helps show where Ying Bai may publish in the future.
Co-authorship network of co-authors of Ying Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Bai. A scholar is included among the top collaborators of Ying Bai 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 Ying Bai. Ying Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | The diagnostic value of circulating tumor cells and ctDNA for gene mutations in lung cancer | 2 |
| 14 | 20 | |
| 15 | 38 | |
| 16 | 27 | |
| 17 | Prevalence and Correlated Factors of PTSD in Refugees Created by Disaster 6 Months after Wenchuan Earthquake | 1 |
| 18 | 55 | |
| 19 | 46 | |
| 20 | 17 |
About Ying Bai
Ying Bai is a scholar working on Parasitology, Virology and Infectious Diseases, having authored 102 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bartonella species infections research (59 papers), Viral Infections and Vectors (52 papers) and Vector-borne infectious diseases (38 papers). The work is most often cited by research in Parasitology (2.2k citations), Virology (554 citations) and Infectious Diseases (1.9k citations). Ying Bai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael Kosoy, Kenneth L. Gage, Lynn M. Osikowicz, Leonard F. Peruski, Lile Malania, Kriangkrai Lerdthusnee, Hidenori Kabeya, Soichi Maruyama, Kelly Sheff and Sumalee Boonmar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.