Tatjana Trcek

2.4k citations
17 papers · 1.6k indexed · 1 hit paper · h-index 13
  • Aging top 5%
    • RNA Research and Splicing 14
    • RNA and protein synthesis mechanisms 7
    • Genomics and Chromatin Dynamics 7
    • RNA modifications and cancer 6
    • Single-cell and spatial transcriptomics 4
    • Molecular Biology Techniques and Applications 3
    • Cancer-related gene regulation 2
  • Biophysics top 2%
  • Genetics top 10%
    • Skin and Cellular Biology Research 1

Tatjana Trcek

16 papers receiving 1.6k citations

Hit Papers

Transcriptional Pulsing of a Developmental Gene5422006202620122019100200300400500

Peers

Tatjana Trcek
Comparison fields: 5 of 83
  • Aging 39
  • Molecular Biology 1.5k
  • Biophysics 113
  • Genetics 181
  • Cell Biology 94
Replace Tineke L. Lenstra with:
Tineke L. Lenstra Netherlands
Yehuda Brody Israel
Wulan Deng United States
John C. Manteiga United States
Roy Long United States
Yoko Hayashi‐Takanaka Japan
Michael Stadler United States
Gail Sudlow United States
Sergey V. Ulianov Russia
Cornelia Fritsch Switzerland
Tatjana Trcek relative to Tineke L. Lenstra Netherlands Tineke L. Lenstra's profile →
Citations per field
00.5×2.6×
Tineke L. Lenstra · 1×
Citations per year

Countries citing papers authored by Tatjana Trcek

Since Specialization
Citations

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

Fields of papers citing papers by Tatjana Trcek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20250
2 202310
3 202212
4 202051
5 202061
6 201982
7 201871
8 20174
9 201681
10 2015129
11 201379
12 201399
13 201287
14 201253
15 2011200
16
Transcriptional Pulsing of a Developmental Genebreakdown →
2006542
17 200670

About Tatjana Trcek

Tatjana Trcek is a scholar working on Molecular Biology, Biophysics and Cell Biology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Chromatin Dynamics (7 papers), RNA modifications and cancer (6 papers), Single-cell and spatial transcriptomics (4 papers), Molecular Biology Techniques and Applications (3 papers), Cancer-related gene regulation (2 papers) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Aging (39 citations), Molecular Biology (1.5k citations) and Biophysics (113 citations). Tatjana Trcek has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Robert H. Singer, Shailesh M. Shenoy, Jonathan R. Chubb, Ruth Lehmann, Daniel R. Larson, Hari Shroff, Timothée Lionnet, Alberto Moldón, Charles C. Query and Markus Grosch. Their work appears in journals such as Cell, Nature Communications and Genes & Development.

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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