Lan Lin
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Streptococcal Infections and Treatments 8
- Neonatal and Maternal Infections 5
-
- Inflammation biomarkers and pathways 2
- Co-authors
- Craig D. Peacock (1 shared paper)William H. Matsui (1 shared paper)James P. Barber (1 shared paper)Ivan Borrello (1 shared paper)Qiuju Wang (1 shared paper)D. Neil Watkins (1 shared paper)Sarah K. Brennan (1 shared paper)Bruce Douglas Smith (1 shared paper)
- Journals
- Innate Immunity (1 paper)Advanced Science (1 paper)Infection and Immunity (1 paper)International Journal of Molecular Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lan Lin
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Hematology 248
- Oncology 276
- Immunology 197
- Infectious Diseases 143
- Molecular Biology 452
Countries citing papers authored by Lan Lin
This map shows the geographic impact of Lan Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Lin more than expected).
Fields of papers citing papers by Lan Lin
This network shows the impact of papers produced by Lan Lin. 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 Lin. The network helps show where Lan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Lin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 458 | |
| 2 | 2020 | 116 | |
| 3 | 2019 | 113 | |
| 4 | 2023 | 33 | |
| 5 | 2020 | 33 | |
| 6 | 2015 | 27 | |
| 7 | 2015 | 26 | |
| 8 | 2015 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2022 | 24 | |
| 11 | 2017 | 21 | |
| 12 | 2023 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2024 | 10 | |
| 20 | 2023 | 8 |
About Lan Lin
Lan Lin is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Epidemiology, Infectious Diseases and Hematology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (8 papers), Neonatal and Maternal Infections (5 papers), Inflammasome and immune disorders (4 papers), Fungal Infections and Studies (3 papers), Inflammation biomarkers and pathways (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Antifungal resistance and susceptibility (2 papers) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Hematology (248 citations), Oncology (276 citations), Immunology (197 citations), Infectious Diseases (143 citations) and Molecular Biology (452 citations). Lan Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Craig D. Peacock, William H. Matsui, James P. Barber, Ivan Borrello, Qiuju Wang, D. Neil Watkins, Sarah K. Brennan, Bruce Douglas Smith, Carol Ann Huff and Richard F. Ambinder. Their work appears in journals such as Innate Immunity, Advanced Science, Infection and Immunity, International Journal of Molecular Medicine and Cancer Research.
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.