Elizabeth Tseng

5.3k total citations · 3 hit papers
42 papers, 1.9k citations indexed

About

Elizabeth Tseng is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Elizabeth Tseng has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 15 papers in Cancer Research and 8 papers in Plant Science. Recurrent topics in Elizabeth Tseng's work include Genomics and Phylogenetic Studies (17 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (11 papers). Elizabeth Tseng is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (11 papers). Elizabeth Tseng collaborates with scholars based in United States, United Kingdom and Netherlands. Elizabeth Tseng's co-authors include Tyson A. Clark, Bo Wang, Michael Regulski, Andrew Olson, Jason G. Underwood, Doreen Ware, Ting Hon, Yinping Jiao, Joshua C. Stein and Zhenyuan Lu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Neuroscience.

In The Last Decade

Elizabeth Tseng

41 papers receiving 1.9k citations

Hit Papers

Unveiling the complexity of the maize transcriptome by si... 2016 2026 2019 2022 2016 2022 2024 100 200 300

Peers

Elizabeth Tseng
Comparison fields: 5 of 117
  • Molecular Biology 1.5k
  • Plant Science 480
  • Cancer Research 433
  • Genetics 251
  • Ecology 153
Jason G. Underwood United States
Sonia Tarazona Spain
Sam Kovaka United States
Michał Wojciech Szcześniak Poland
Roham Razaghi United States
Tian Tang China
Chun Liang United States
Yueyuan Zheng China
Delphine Naquin France
Dmitri Parkhomchuk Germany
Jason G. Underwood United States View profile →
Citations per field, relative to Elizabeth Tseng
Elizabeth Tseng · 1×
Citations per year, relative to Elizabeth Tseng
Elizabeth Tseng · 1×

Countries citing papers authored by Elizabeth Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Tseng. A scholar is included among the top collaborators of Elizabeth Tseng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth Tseng. Elizabeth Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms breakdown →
57
2 59
3 6
4 19
5 9
6 84
7 1
8 19
9 38
10 16
11 17
12 56
13 11
14 41
15 21
16
Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing breakdown →
397
17 80
18
SMRT® Sequencing Solutions for Large Genomes and Transcriptomes
2
19 46
20
Full Length cDNA Sequencing on the PacBio® RS
2

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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