Daniel S. Grosu

1.1k total citations
16 papers, 577 citations indexed

About

Daniel S. Grosu is a scholar working on Cancer Research, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel S. Grosu has authored 16 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 7 papers in Genetics and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel S. Grosu's work include Cancer Genomics and Diagnostics (9 papers), Veterinary Oncology Research (5 papers) and Prenatal Screening and Diagnostics (4 papers). Daniel S. Grosu is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Veterinary Oncology Research (5 papers) and Prenatal Screening and Diagnostics (4 papers). Daniel S. Grosu collaborates with scholars based in United States and Netherlands. Daniel S. Grosu's co-authors include Eyad Almasri, Mathias Ehrich, Amin R. Mazloom, Ron McCullough, John A. Tynan, Graham McLennan, Nilesh Dharajiya, Daniel H. Farkas, Theresa Boomer and Juan‐Sebastian Saldivar and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Daniel S. Grosu

15 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Grosu United States 11 303 183 172 164 101 16 577
Qiwei Guo China 10 65 0.2× 71 0.4× 94 0.5× 210 1.3× 56 0.6× 44 480
Yvonne K. Kwok China 13 300 1.0× 285 1.6× 63 0.4× 216 1.3× 12 0.1× 25 563
D. Halle Israel 5 53 0.2× 241 1.3× 52 0.3× 140 0.9× 59 0.6× 7 402
G Nagy Hungary 10 61 0.2× 117 0.6× 66 0.4× 142 0.9× 20 0.2× 30 379
Brian Thiel United States 10 201 0.7× 348 1.9× 31 0.2× 186 1.1× 44 0.4× 11 598
Cecilia Bussani Italy 15 156 0.5× 136 0.7× 32 0.2× 103 0.6× 12 0.1× 28 493
Susanne Michel Germany 11 72 0.2× 125 0.7× 31 0.2× 208 1.3× 32 0.3× 18 405
Liesbeth van Emst Netherlands 13 44 0.1× 92 0.5× 39 0.2× 268 1.6× 27 0.3× 28 562
An Ping China 5 108 0.4× 157 0.9× 19 0.1× 246 1.5× 40 0.4× 8 381
Brigitte Pabst Germany 12 65 0.2× 109 0.6× 33 0.2× 137 0.8× 50 0.5× 29 374

Countries citing papers authored by Daniel S. Grosu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Grosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Grosu

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

All Works

16 of 16 papers shown
1.
Ruiz-Pérez, Carlos A., Francesco Marass, Daniel S. Grosu, et al.. (2024). Proof-of-concept evaluation of next-generation sequencing-based liquid biopsy for non-invasive cancer detection in cats. Frontiers in Veterinary Science. 11. 1394686–1394686.
2.
Ruiz-Pérez, Carlos A., Allison L. O’Kell, Jason Chibuk, et al.. (2024). Clinical validation of a blood-based liquid biopsy test integrating cell-free DNA quantification and next-generation sequencing for cancer screening in dogs. Journal of the American Veterinary Medical Association. 262(5). 665–673. 2 indexed citations
3.
Kruglyak, Kristina M., Angela L. McCleary‐Wheeler, Allison L. O’Kell, et al.. (2023). Age at cancer diagnosis by breed, weight, sex, and cancer type in a cohort of more than 3,000 dogs: Determining the optimal age to initiate cancer screening in canine patients. PLoS ONE. 18(2). e0280795–e0280795. 33 indexed citations
4.
McCleary‐Wheeler, Angela L., Carlos A. Ruiz-Pérez, John A. Tynan, et al.. (2023). Next-generation sequencing-based liquid biopsy may be used for detection of residual disease and cancer recurrence monitoring in dogs. American Journal of Veterinary Research. 85(3). 1–8. 3 indexed citations
5.
Jensen, Taylor J., Aaron M. Goodman, Christopher K. Ellison, et al.. (2021). Genome-wide Sequencing of Cell-free DNA Enables Detection of Copy-number Alterations in Patients with Cancer Where Tissue Biopsy is Not Feasible. Molecular Cancer Therapeutics. 20(11). 2274–2279. 7 indexed citations
6.
Chibuk, Jason, Kristina M. Kruglyak, Nicole F. Leibman, et al.. (2021). Horizons in Veterinary Precision Oncology: Fundamentals of Cancer Genomics and Applications of Liquid Biopsy for the Detection, Characterization, and Management of Cancer in Dogs. Frontiers in Veterinary Science. 8. 664718–664718. 24 indexed citations
7.
Kruglyak, Kristina M., Jason Chibuk, Gilberto E. Hernandez, et al.. (2021). Blood-Based Liquid Biopsy for Comprehensive Cancer Genomic Profiling Using Next-Generation Sequencing: An Emerging Paradigm for Non-invasive Cancer Detection and Management in Dogs. Frontiers in Veterinary Science. 8. 704835–704835. 13 indexed citations
8.
Jensen, Taylor J., Aaron M. Goodman, Shumei Kato, et al.. (2018). Genome-Wide Sequencing of Cell-Free DNA Identifies Copy-Number Alterations That Can Be Used for Monitoring Response to Immunotherapy in Cancer Patients. Molecular Cancer Therapeutics. 18(2). 448–458. 67 indexed citations
9.
Ehrich, Mathias, John A. Tynan, Amin R. Mazloom, et al.. (2017). Genome-wide cfDNA screening: clinical laboratory experience with the first 10,000 cases. Genetics in Medicine. 19(12). 1332–1337. 46 indexed citations
10.
Dharajiya, Nilesh, Daniel S. Grosu, Daniel H. Farkas, et al.. (2017). Incidental Detection of Maternal Neoplasia in Noninvasive Prenatal Testing. Clinical Chemistry. 64(2). 329–335. 66 indexed citations
11.
Lefkowitz, Roy B., John A. Tynan, Tong Liu, et al.. (2016). Clinical validation of a noninvasive prenatal test for genomewide detection of fetal copy number variants. American Journal of Obstetrics and Gynecology. 215(2). 227.e1–227.e16. 134 indexed citations
12.
Helgeson, J., Theresa Boomer, Eyad Almasri, et al.. (2015). Clinical outcome of subchromosomal events detected by whole‐genome noninvasive prenatal testing. Prenatal Diagnosis. 35(10). 999–1004. 102 indexed citations
13.
Grosu, Daniel S., Kristina M. Kruglyak, Brandy Klotzle, et al.. (2014). Clinical investigational studies for validation of a next-generation sequencingin vitrodiagnostic device for cystic fibrosis testing. Expert Review of Molecular Diagnostics. 14(5). 605–622. 14 indexed citations
14.
Ong, Frank S, Jimmy Lin, Kingshuk Das, Daniel S. Grosu, & Jian‐Bing Fan. (2013). Translational utility of next-generation sequencing. Genomics. 102(3). 137–139. 25 indexed citations
15.
Gandhi, Manish J., Vamsidhar R. Narra, Jeffrey J. Brown, et al.. (2008). Clinical and Economic Impact of Falsely Decreased Calcium Values Caused by Gadoversetamide Interference. American Journal of Roentgenology. 190(3). W213–W217. 5 indexed citations
16.
Zahm, Daniel S., et al.. (1998). Distinct and interactive effects of d-amphetamine and haloperidol on levels of neurotensin and its mRNA in subterritories in the dorsal and ventral striatum of the rat. The Journal of Comparative Neurology. 400(4). 487–503. 36 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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