Ling Ran
Impact in
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
-
- Hydrology and Drought Analysis
- Land Use and Ecosystem Services
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 4
-
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 7
- Co-authors
- Lifeng Zhang (5 shared papers)Shengpeng Cao (3 shared papers)Yi He (4 shared papers)Yu‐Jie Ding (4 shared papers)Mikalai Filonchyk (2 shared papers)Zhenhui Song (8 shared papers)Kai Wang (5 shared papers)Qiuhan Yu (4 shared papers)
In The Last Decade
Ling Ran
25 papers receiving 251 citations
Peers
Comparison fields: 5 of 68
- Animal Science and Zoology 40
- Global and Planetary Change 71
- Infectious Diseases 56
- Immunology 33
- Oral Surgery 9
Countries citing papers authored by Ling Ran
This map shows the geographic impact of Ling Ran'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 Ling Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ran more than expected).
Fields of papers citing papers by Ling Ran
This network shows the impact of papers produced by Ling Ran. 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 Ling Ran. The network helps show where Ling Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ran, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 50 | |
| 2 | 2023 | 27 | |
| 3 | 2023 | 24 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 2 |
About Ling Ran
Ling Ran is a scholar working on Oncology, Immunology, Infectious Diseases, Animal Science and Zoology and Surgery, having authored 28 papers that have together received 253 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Animal Virus Infections Studies (5 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Animal Science and Zoology (40 citations), Global and Planetary Change (71 citations), Infectious Diseases (56 citations), Immunology (33 citations) and Oral Surgery (9 citations). Ling Ran has collaborated with scholars based in China, Belarus and Canada. Frequent co-authors include Lifeng Zhang, Shengpeng Cao, Yi He, Yu‐Jie Ding, Mikalai Filonchyk, Zhenhui Song, Kai Wang, Qiuhan Yu, Yang Yang and Ying Liu. Their work appears in journals such as The Science of The Total Environment, Research in Veterinary Science, Frontiers in Microbiology, Cell Reports and The International Journal of Developmental Biology.
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.