Cátálin Bárbácioru

11.6k citations
34 papers · 4.9k indexed · 1 hit paper · h-index 19
Topics
Single-cell and spatial transcriptomics (7 papers)Cancer Genomics and Diagnostics (7 papers)Molecular Biology Techniques and Applications (5 papers)

In The Last Decade

Cátálin Bárbácioru

30 papers receiving 4.8k citations

Hit Papers

mRNA-Seq whole-transcriptome analysis of a single cell2009202620142020200950010001.5k2.0k2.5k

Peers

Cátálin Bárbácioru
Comparison fields: 5 of 143
  • Molecular Biology 3.7k
  • Cancer Research 1.1k
  • Oncology 622
  • Immunology 589
  • Genetics 382
Replace Xinglong Wu with:
Xinglong Wu China
Iain C. Macaulay United Kingdom
Brian B. Tuch United States
Alistair R. R. Forrest Australia
Raktima Raychowdhury United States
Irina Khrebtukova United States
Greg Finak United States
James B. Lorens Norway
Charlotte Soneson Switzerland
Hideya Kawaji Japan
Cátálin Bárbácioru relative to Xinglong Wu China Xinglong Wu's profile →
Citations per field
00.5×1.7×
Xinglong Wu · 1×
Citations per year

Countries citing papers authored by Cátálin Bárbácioru

Since Specialization
Citations

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

Fields of papers citing papers by Cátálin Bárbácioru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cátálin Bárbácioru

This figure shows the co-authorship network connecting the top 25 collaborators of Cátálin Bárbácioru. A scholar is included among the top collaborators of Cátálin Bárbácioru 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 Cátálin Bárbácioru. Cátálin Bárbácioru 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
#WorkIndexed citations
1 3
2 1
3 51
4 49
5 144
6 115
7 390
8 398
9
mRNA-Seq whole-transcriptome analysis of a single cellbreakdown →
2536
10 72
11 24
12 39
13 19
14 238
15 37
16 29
17 287
18 231
19 45
20 1

About Cátálin Bárbácioru

Cátálin Bárbácioru is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 34 papers that have together received 4.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (7 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.7k citations) and Biophysics (294 citations). Cátálin Bárbácioru has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include M. Azim Surani, Kaiqin Lao, Xiaohui Wang, Brian B. Tuch, John Bodeau, Clarence Lee, Asim Siddiqui, Fuchou Tang, Yangzhou Wang and Fuchou Tang. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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