Albert Tsai

1.8k citations
25 papers · 1.3k · h-index 19

Impact in

Papers in

    • RNA and protein synthesis mechanisms 16
    • RNA modifications and cancer 11
    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 6
    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 2
    • Bacterial Genetics and Biotechnology 7

Albert Tsai

25 papers receiving 1.3k citations

Peers

Albert Tsai
Comparison fields: 5 of 81
  • Structural Biology 33
  • Biophysics 113
  • Molecular Biology 1.1k
  • Genetics 238
  • Molecular Medicine 21
Replace Florian C. Oberstrass with:
Florian C. Oberstrass United States
A.B. Loveland United States
Roberto Galletto United States
Ann‐Christin Lindås Sweden
Saikat Chowdhury United States
Junhong Choi United States
Yong-Woon Han Japan
Mitsusada Iwasa Japan
Jörg Bürger Germany
Florence Proux France
Albert Tsai relative to Florian C. Oberstrass United States Florian C. Oberstrass's profile →
Citations per field
00.5×1.5×2.2×
Florian C. Oberstrass · 1×
Citations per year

Countries citing papers authored by Albert Tsai

Since Specialization
Citations

This map shows the geographic impact of Albert Tsai'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 Albert Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Tsai more than expected).

Fields of papers citing papers by Albert Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Tsai. 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 Albert Tsai. The network helps show where Albert Tsai may publish in the future.

Co-authors

The 25 scholars most cited alongside Albert Tsai, 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 Albert Tsai Line = papers co-authored together Albert Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016126
2 2014122
3 2013113
4 2013107
5 2017100
6 201270
7 201368
8 201961
9 202058
10 201654
11 201249
12 201347
13 201145
14 201440
15 201438
16 201237
17 201429
18 201229
19 201722
20 201518

About Albert Tsai

Albert Tsai is a scholar working on Molecular Biology, Genetics, Ecology, Biophysics and Plant Science, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (11 papers), Genomics and Chromatin Dynamics (7 papers), Bacterial Genetics and Biotechnology (7 papers), RNA Research and Splicing (6 papers), Bacteriophages and microbial interactions (5 papers), CRISPR and Genetic Engineering (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Structural Biology (33 citations), Biophysics (113 citations), Molecular Biology (1.1k citations), Genetics (238 citations) and Molecular Medicine (21 citations). Albert Tsai has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Joseph D. Puglisi, Alexey Petrov, Jin Chen, Seán E. O’Leary, Justin Crocker, Magnus Johansson, Mariana R. P. Alves, Sotaro Uemura, Luke D. Lavis and Robert H. Singer. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Nature, Development and Current Opinion in Structural 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.

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