Valentin Dinu

894 total citations
32 papers, 550 citations indexed

About

Valentin Dinu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Valentin Dinu has authored 32 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Valentin Dinu's work include Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 papers). Valentin Dinu is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 papers). Valentin Dinu collaborates with scholars based in United States, Netherlands and Egypt. Valentin Dinu's co-authors include Prakash M. Nadkarni, Hongyu Zhao, Perry L. Miller, Natalia Briones, Peining Li, Bixia Xiang, Ao Li, Norma J. Nowak, Patrick E. Duffy and Raymond M. Moore and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Valentin Dinu

31 papers receiving 535 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valentin Dinu United States 14 249 136 59 53 50 32 550
Sunwon Lee South Korea 10 401 1.6× 63 0.5× 50 0.8× 97 1.8× 68 1.4× 22 710
Kaname Kojima Japan 17 453 1.8× 169 1.2× 45 0.8× 50 0.9× 31 0.6× 48 867
Abu Z M Dayem Ullah United Kingdom 9 254 1.0× 170 1.3× 31 0.5× 17 0.3× 36 0.7× 22 522
Brunilda Balliu United States 12 225 0.9× 158 1.2× 23 0.4× 27 0.5× 16 0.3× 27 479
K. Joeri van der Velde Netherlands 16 338 1.4× 282 2.1× 22 0.4× 46 0.9× 14 0.3× 30 642
Dina J. Zand United States 20 564 2.3× 271 2.0× 24 0.4× 38 0.7× 39 0.8× 34 1.0k
Ke Yuan China 13 254 1.0× 68 0.5× 31 0.5× 94 1.8× 41 0.8× 52 615
Divyansh Agarwal United States 13 277 1.1× 74 0.5× 20 0.3× 35 0.7× 31 0.6× 65 824
John Blischak United States 9 544 2.2× 145 1.1× 40 0.7× 28 0.5× 23 0.5× 17 753
Michael F. Buckley Australia 15 332 1.3× 227 1.7× 16 0.3× 18 0.3× 35 0.7× 32 701

Countries citing papers authored by Valentin Dinu

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Dinu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Dinu

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Dinu. A scholar is included among the top collaborators of Valentin Dinu 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 Dinu. Valentin Dinu 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
1.
Gu, Haiwei, et al.. (2023). Machine and deep learning identified metabolites and clinical features associated with gallstone disease. SHILAP Revista de lepidopterología. 3. 100106–100106. 3 indexed citations
2.
3.
Dinu, Valentin, et al.. (2020). Developing a machine learning model to identify protein–protein interaction hotspots to facilitate drug discovery. PeerJ. 8. e10381–e10381. 3 indexed citations
4.
Hingorani, Pooja, Valentin Dinu, Xiyuan Zhang, et al.. (2020). Transcriptome analysis of desmoplastic small round cell tumors identifies actionable therapeutic targets: a report from the Children’s Oncology Group. Scientific Reports. 10(1). 12318–12318. 25 indexed citations
5.
Lancaster, Hope Sparks, Xiaonan Liu, Valentin Dinu, & Jing Li. (2020). Identifying interactive biological pathways associated with reading disability. Brain and Behavior. 10(8). e01735–e01735. 4 indexed citations
6.
Peter, Beate, Valentin Dinu, Li Liu, et al.. (2019). Exome Sequencing of Two Siblings with Sporadic Autism Spectrum Disorder and Severe Speech Sound Disorder Suggests Pleiotropic and Complex Effects. Behavior Genetics. 49(4). 399–414. 16 indexed citations
7.
8.
Huentelman, Matthew J., Jason J. Corneveaux, Valentin Dinu, et al.. (2015). Association of SNPs in EGR3 and ARC with Schizophrenia Supports a Biological Pathway for Schizophrenia Risk. PLoS ONE. 10(10). e0135076–e0135076. 38 indexed citations
9.
Huang, Ke, Venkata Yellapantula, Leslie J. Baier, & Valentin Dinu. (2013). NGSPE: A pipeline for end-to-end analysis of DNA sequencing data and comparison between different platforms. Computers in Biology and Medicine. 43(9). 1171–1176. 2 indexed citations
10.
Dinu, Valentin, et al.. (2013). High performance computing methods for the integration and analysis of biomedical data using SAS. Computer Methods and Programs in Biomedicine. 112(3). 553–562. 7 indexed citations
11.
Gallitano, Amelia L., Rebecca Tillman, Valentin Dinu, & Barbara Geller. (2012). Family-based association study of early growth response gene 3 with child bipolar I disorder. Journal of Affective Disorders. 138(3). 387–396. 11 indexed citations
12.
Briones, Natalia & Valentin Dinu. (2012). Data mining of high density genomic variant data for prediction of Alzheimer's disease risk. BMC Medical Genetics. 13(1). 7–7. 27 indexed citations
13.
Stafford, Phillip, et al.. (2011). Statistical methods for analyzing immunosignatures. BMC Bioinformatics. 12(1). 349–349. 23 indexed citations
14.
Kriseman, Jeffrey, et al.. (2009). BING: Biomedical informatics pipeline for Next Generation Sequencing. Journal of Biomedical Informatics. 43(3). 428–434. 7 indexed citations
15.
Li, Chao, Yuhua Li, Xiangmin Zhang, Phillip Stafford, & Valentin Dinu. (2009). ICRPfinder: a fast pattern design algorithm for coding sequences and its application in finding potential restriction enzyme recognition sites. BMC Bioinformatics. 10(1). 286–286. 2 indexed citations
16.
Xiang, Bixia, Ao Li, Valentin Dinu, et al.. (2008). Analytical and clinical validity of whole‐genome oligonucleotide array comparative genomic hybridization for pediatric patients with mental retardation and developmental delay. American Journal of Medical Genetics Part A. 146A(15). 1942–1954. 54 indexed citations
17.
Dinu, Valentin, Hongyu Zhao, & Perry L. Miller. (2007). Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association analysis. Journal of Biomedical Informatics. 40(6). 750–760. 21 indexed citations
18.
Dinu, Valentin, Perry L. Miller, & Hongyu Zhao. (2007). Evidence for association between multiple complement pathway genes and AMD. Genetic Epidemiology. 31(3). 224–237. 39 indexed citations
19.
Dinu, Valentin & Prakash M. Nadkarni. (2006). Guidelines for the effective use of entity–attribute–value modeling for biomedical databases. International Journal of Medical Informatics. 76(11-12). 769–779. 62 indexed citations
20.
Dinu, Valentin, Prakash M. Nadkarni, & Cynthia Brandt. (2006). Pivoting approaches for bulk extraction of Entity–Attribute–Value data. Computer Methods and Programs in Biomedicine. 82(1). 38–43. 16 indexed citations

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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