Dandan Lin
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immune Response and Inflammation
- Developmental Neuroscience top 5%
Papers in ⓘ
-
- Ubiquitin and proteasome pathways 9
- RNA modifications and cancer 7
- Immunology 37
- Immune Cell Function and Interaction 15
- interferon and immune responses 13
- Co-authors
- Bo Zhong (24 shared papers)Haiyan Liu (14 shared papers)Tianzi Liuyu (6 shared papers)Anshi Wu (12 shared papers)Bo Hu (12 shared papers)Man Zhang (4 shared papers)Qiyun Zhu (5 shared papers)Changwei Wei (11 shared papers)
- Journals
- Nature Communications (4 papers)The Journal of Immunology (4 papers)Frontiers in Immunology (3 papers)Acta Biochimica et Biophysica Sinica (3 papers)Advanced Science (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Dandan Lin
99 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 140
- Immunology 891
- Developmental Neuroscience 92
- Critical Care and Intensive Care Medicine 113
- Cancer Research 232
- Oncology 389
Countries citing papers authored by Dandan Lin
This map shows the geographic impact of Dandan 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 Dandan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Lin more than expected).
Fields of papers citing papers by Dandan Lin
This network shows the impact of papers produced by Dandan 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 Dandan Lin. The network helps show where Dandan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 161 | |
| 2 | 2020 | 155 | |
| 3 | 2015 | 107 | |
| 4 | 2018 | 88 | |
| 5 | 2017 | 71 | |
| 6 | 2020 | 67 | |
| 7 | 2019 | 67 | |
| 8 | 2020 | 60 | |
| 9 | 2018 | 60 | |
| 10 | 2020 | 48 | |
| 11 | 2019 | 47 | |
| 12 | 2018 | 45 | |
| 13 | 2021 | 44 | |
| 14 | 2022 | 43 | |
| 15 | 2021 | 42 | |
| 16 | 2022 | 42 | |
| 17 | 2014 | 36 | |
| 18 | 2021 | 35 | |
| 19 | 2017 | 34 | |
| 20 | 2015 | 33 |
About Dandan Lin
Dandan Lin is a scholar working on Molecular Biology, Immunology, Oncology, Developmental Neuroscience and Cancer Research, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), interferon and immune responses (13 papers), Anesthesia and Neurotoxicity Research (11 papers), Intensive Care Unit Cognitive Disorders (10 papers), Ubiquitin and proteasome pathways (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), RNA modifications and cancer (7 papers) and Parasites and Host Interactions (6 papers). The work is most often cited by research in Immunology (891 citations), Developmental Neuroscience (92 citations), Critical Care and Intensive Care Medicine (113 citations), Cancer Research (232 citations) and Oncology (389 citations). Dandan Lin has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Bo Zhong, Haiyan Liu, Tianzi Liuyu, Anshi Wu, Bo Hu, Man Zhang, Qiyun Zhu, Changwei Wei, Yu Mei and Tian-Chen Xiong. Their work appears in journals such as Nature Communications, The Journal of Immunology, Frontiers in Immunology, Acta Biochimica et Biophysica Sinica and Advanced Science.
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.