Dan Tan

3.2k citations
29 papers · 2.1k · 2 hit papers · h-index 18

Impact in

    • 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
    • Endoplasmic Reticulum Stress and Disease 2
    • Biotin and Related Studies 2

Dan Tan

29 papers receiving 2.1k citations

Dan Tan's Hit Papers

A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides 2019 · 348 citations
3480+2+4Years since publication100200300

Peers

Dan Tan
Comparison fields: 5 of 121
  • Business and International Management 54
  • Molecular Biology 1.6k
  • Aging 31
  • Structural Biology 24
  • Cell Biology 140
Replace Bei Yang with:
Bei Yang China
Christian Benda Germany
Xiquan Liang United States
Deqiang Yao China
Richard P. Bowater United Kingdom
Luther Davis United States
Ting Han China
Sadhna Phanse Canada
Vineeth Surendranath Germany
Dominique Rasoloson United States
Dan Tan relative to Bei Yang China Bei Yang's profile →
Citations per field
00.5×4.8×
Bei Yang · 1×
Citations per year

Countries citing papers authored by Dan Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Tan Line = papers co-authored together Dan Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2019348
2
CasX enzymes comprise a distinct family of RNA-guided genome editors
Hit paper breakdown →
2019320
3 2013184
4 2016170
5 2019143
6 2019142
7 2017121
8 202291
9 201674
10 201870
11 201967
12 201863
13 202054
14 202445
15 201640
16 201834
17 199427
18 202323
19 201617
20 201815

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.

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