Lan-Bi Nie
Impact in
- Parasitology top 2%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
-
- Rabies epidemiology and control
Papers in
- Parasitology 17
- Toxoplasma gondii Research Studies 16
- Parasitic Infections and Diagnostics 12
- Epidemiology 12
- Herpesvirus Infections and Treatments 10
- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Xing‐Quan Zhu (18 shared papers)Qin‐Li Liang (13 shared papers)Hany M. Elsheikha (8 shared papers)Wei Cong (7 shared papers)Yang Zou (8 shared papers)Rui Du (7 shared papers)Jin‐Lei Wang (4 shared papers)Feng‐Cai Zou (2 shared papers)
- Journals
- Parasitology Research (5 papers)Acta Tropica (3 papers)PLoS neglected tropical diseases (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Lan-Bi Nie
22 papers receiving 275 citations
Peers
Comparison fields: 5 of 41
- Parasitology 188
- Virology 20
- Epidemiology 105
- Animal Science and Zoology 32
- Infectious Diseases 49
Countries citing papers authored by Lan-Bi Nie
This map shows the geographic impact of Lan-Bi Nie'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 Lan-Bi Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan-Bi Nie more than expected).
Fields of papers citing papers by Lan-Bi Nie
This network shows the impact of papers produced by Lan-Bi Nie. 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 Lan-Bi Nie. The network helps show where Lan-Bi Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan-Bi Nie, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 34 | |
| 2 | 2018 | 28 | |
| 3 | 2019 | 24 | |
| 4 | 2017 | 23 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 4 |
About Lan-Bi Nie
Lan-Bi Nie is a scholar working on Parasitology, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 276 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (16 papers), Parasitic Infections and Diagnostics (12 papers), Herpesvirus Infections and Treatments (10 papers), Viral Infections and Immunology Research (2 papers), Study of Mite Species (2 papers), Animal Virus Infections Studies (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Parasitology (188 citations), Virology (20 citations), Epidemiology (105 citations), Animal Science and Zoology (32 citations) and Infectious Diseases (49 citations). Lan-Bi Nie has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Xing‐Quan Zhu, Qin‐Li Liang, Hany M. Elsheikha, Wei Cong, Yang Zou, Rui Du, Jin‐Lei Wang, Feng‐Cai Zou, Li‐Xiu Sun and Kun Shi. Their work appears in journals such as Parasitology Research, Acta Tropica, PLoS neglected tropical diseases, Frontiers in Cellular and Infection Microbiology and BioMed Research International.
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.