Dan Tan
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
Papers in
-
- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Mitochondrial Function and Pathology 3
- Ubiquitin and proteasome pathways 2
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- Endoplasmic Reticulum Stress and Disease 2
- Biotin and Related Studies 2
- Co-authors
- Meng‐Qiu Dong (9 shared papers)Alan Saghatelian (6 shared papers)Qian Chu (5 shared papers)Thomas F. Martínez (4 shared papers)Cynthia J. Donaldson (4 shared papers)Maxim N. Shokhirev (1 shared paper)Long Wu (1 shared paper)Si‐Min He (1 shared paper)
- Journals
- Nature (4 papers)Nature Communications (3 papers)Protein & Cell (3 papers)Cell Research (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Tan
29 papers receiving 2.1k citations
Dan Tan's Hit Papers
Peers
Comparison fields: 5 of 121
- Business and International Management 54
- Molecular Biology 1.6k
- Aging 31
- Structural Biology 24
- Cell Biology 140
Countries citing papers authored by Dan Tan
This map shows the geographic impact of Dan Tan'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 Dan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Tan more than expected).
Fields of papers citing papers by Dan Tan
This network shows the impact of papers produced by Dan Tan. 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 Dan Tan. The network helps show where Dan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Tan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides Hit paper breakdown → | 2019 | 348 |
| 2 | CasX enzymes comprise a distinct family of RNA-guided genome editors Hit paper breakdown → | 2019 | 320 |
| 3 | 2013 | 184 | |
| 4 | 2016 | 170 | |
| 5 | 2019 | 143 | |
| 6 | 2019 | 142 | |
| 7 | 2017 | 121 | |
| 8 | 2022 | 91 | |
| 9 | 2016 | 74 | |
| 10 | 2018 | 70 | |
| 11 | 2019 | 67 | |
| 12 | 2018 | 63 | |
| 13 | 2020 | 54 | |
| 14 | 2024 | 45 | |
| 15 | 2016 | 40 | |
| 16 | 2018 | 34 | |
| 17 | 1994 | 27 | |
| 18 | 2023 | 23 | |
| 19 | 2016 | 17 | |
| 20 | 2018 | 15 |
About Dan Tan
Dan Tan is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Genetics, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Biotin and Related Studies (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Business and International Management (54 citations), Molecular Biology (1.6k citations), Aging (31 citations), Structural Biology (24 citations) and Cell Biology (140 citations). Dan Tan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Meng‐Qiu Dong, Alan Saghatelian, Qian Chu, Thomas F. Martínez, Cynthia J. Donaldson, Maxim N. Shokhirev, Long Wu, Si‐Min He, Yong Cao and Hao Chi. Their work appears in journals such as Nature, Nature Communications, Protein & Cell, Cell Research and The FASEB Journal.
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.