Daniel Trcka

1.4k citations
11 papers · 704 · 1 hit paper · h-index 11

Impact in

Papers in

    • Pluripotent Stem Cells Research 2
    • Single-cell and spatial transcriptomics 2
    • DNA Repair Mechanisms 1
    • Cancer Cells and Metastasis 2

Daniel Trcka

11 papers receiving 698 citations

Daniel Trcka's Hit Papers

Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell 2019 · 341 citations
3410+2+4Years since publication100200300

Peers

Daniel Trcka
Comparison fields: 5 of 83
  • Oncology 183
  • Endocrine and Autonomic Systems 43
  • Aging 10
  • Cell Biology 91
  • Molecular Biology 350
Replace Lev M. Fedorov with:
Lev M. Fedorov United States
Clemens Hofmann Germany
Miki Tanioka Japan
Kevin M. Pawlik United States
Mitsuru Morimoto Japan
Idan Cohen Israel
T. Fujiwara Japan
María Casanova-Acebes United States
Tommaso Nastasi Italy
Armin Akhavan United States
Daniel Trcka relative to Lev M. Fedorov United States Lev M. Fedorov's profile →
Citations per field
00.5×5.4×
Lev M. Fedorov · 1×
Citations per year

Countries citing papers authored by Daniel Trcka

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Trcka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell
Hit paper breakdown →
2019341
2 201974
3 202057
4 201556
5 200946
6 200644
7 202124
8 202223
9 202218
10 202411
11 202410

About Daniel Trcka

Daniel Trcka is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Biomedical Engineering, having authored 11 papers that have together received 704 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Cells and Metastasis (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Circadian rhythm and melatonin (1 paper), Dental Research and COVID-19 (1 paper), DNA Repair Mechanisms (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Oncology (183 citations), Endocrine and Autonomic Systems (43 citations), Aging (10 citations), Cell Biology (91 citations) and Molecular Biology (350 citations). Daniel Trcka has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jeffrey L. Wrana, Bibaswan Ghoshal, Jessica Gosio, Arshad Ayyaz, Kin Chan, Mardi Fink, Jess Shen, Sandeep Kumar, Shaida Ouladan and Seda Barutcu. Their work appears in journals such as Gut Microbes, Life Science Alliance, Nature Cell Biology, Virology Journal and American Journal Of Pathology.

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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