Valentin Antonescu

3.9k citations
7 papers · 2.4k indexed · 2 hit papers · h-index 6
Topics
Genomics and Phylogenetic Studies (4 papers)RNA and protein synthesis mechanisms (3 papers)Gene expression and cancer classification (3 papers)
Partner nations
United StatesChina

In The Last Decade

Valentin Antonescu

7 papers receiving 2.3k citations

Hit Papers

TIGR Gene Indices clustering tools (TGICL): a softwaresys...20032026201020182003201850010001.5k

Peers

Valentin Antonescu
Comparison fields: 5 of 125
  • Molecular Biology 1.4k
  • Plant Science 698
  • Genetics 416
  • Ecology 294
  • Immunology 213
Replace Svetlana Karamycheva with:
Svetlana Karamycheva United States
Jennifer Tsai United States
Răzvan Sultana United States
L. Wei China
Zhixing Feng China
Beom‐Soon Choi South Korea
Emmanuel Quévillon United Kingdom
S. Pillai United Kingdom
Eric Ross United States
Yuandan Lee United States
Valentin Antonescu relative to Svetlana Karamycheva United States Svetlana Karamycheva's profile →
Citations per field
00.5×1.5×2.4×
Svetlana Karamycheva · 1×
Citations per year

Countries citing papers authored by Valentin Antonescu

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Antonescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Antonescu

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Antonescu. A scholar is included among the top collaborators of Valentin Antonescu 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 Valentin Antonescu. Valentin Antonescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Scaling read aligners to hundreds of threads on general-purpose processorsbreakdown →
492
2 72
3 5
4 12
5
TIGR Gene Indices clustering tools (TGICL): a softwaresystem for fast clustering of large EST datasetsbreakdown →
1574
6 114
7 101

About Valentin Antonescu

Valentin Antonescu is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Plant Science (698 citations) and Insect Science (207 citations). Valentin Antonescu has collaborated with scholars based in United States and China. Frequent co-authors include Răzvan Sultana, John Quackenbush, Foo Cheung, Jennifer Tsai, Geo Pertea, Svetlana Karamycheva, Joseph White, Yuandan Lee, Liang Feng and Xiaoqiu Huang. Their work appears in journals such as Bioinformatics, Cancer and Genome Research.

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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