Petr Starostik

4.3k total citations
83 papers, 2.7k citations indexed

About

Petr Starostik is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Petr Starostik has authored 83 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pathology and Forensic Medicine, 17 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Petr Starostik's work include Lymphoma Diagnosis and Treatment (21 papers), Acute Myeloid Leukemia Research (10 papers) and Genetic factors in colorectal cancer (9 papers). Petr Starostik is often cited by papers focused on Lymphoma Diagnosis and Treatment (21 papers), Acute Myeloid Leukemia Research (10 papers) and Genetic factors in colorectal cancer (9 papers). Petr Starostik collaborates with scholars based in United States, Germany and Austria. Petr Starostik's co-authors include Hans Konrad Müller‐Hermelink, Andreas Zettl, German Ott, Andreas Greiner, Myron S. Czuczman, Francisco J. Hernandez‐Ilizaliturri, Douglas C. Dean, Stephan Schwarz, Philipp Ströbel and Thomas Rüdiger and has published in prestigious journals such as The Lancet, Circulation and Journal of Clinical Oncology.

In The Last Decade

Petr Starostik

80 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petr Starostik United States 29 1.1k 839 809 664 487 83 2.7k
Jun Zhu China 24 1.3k 1.2× 1.4k 1.7× 558 0.7× 479 0.7× 552 1.1× 177 2.5k
Paolo G. Gobbi Italy 29 1.6k 1.4× 905 1.1× 686 0.8× 313 0.5× 281 0.6× 86 2.6k
Louis F. Diehl United States 27 1000 0.9× 630 0.8× 1.0k 1.3× 412 0.6× 596 1.2× 85 2.3k
Tina Nielsen Switzerland 28 1.2k 1.1× 912 1.1× 498 0.6× 289 0.4× 394 0.8× 114 2.4k
Attilio Guarini Italy 25 458 0.4× 616 0.7× 433 0.5× 558 0.8× 434 0.9× 112 2.1k
Cristine Allmer United States 23 1.1k 0.9× 1.4k 1.7× 482 0.6× 757 1.1× 256 0.5× 84 2.9k
Brian Kabat United States 22 1.7k 1.5× 2.0k 2.4× 629 0.8× 1.1k 1.6× 495 1.0× 48 3.5k
M Leporrier France 26 1.5k 1.3× 606 0.7× 1.6k 2.0× 403 0.6× 961 2.0× 107 3.5k
James D. Hoyer United States 29 634 0.6× 471 0.6× 1.2k 1.5× 803 1.2× 288 0.6× 121 2.8k
Jamie K. Waselenko United States 13 613 0.5× 520 0.6× 742 0.9× 505 0.8× 379 0.8× 21 2.1k

Countries citing papers authored by Petr Starostik

Since Specialization
Citations

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

Fields of papers citing papers by Petr Starostik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Starostik

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Starostik. A scholar is included among the top collaborators of Petr Starostik 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 Petr Starostik. Petr Starostik 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.
Newsom, Kimberly J., et al.. (2024). Integration of pharmacogenetic data in epic genomic module drives clinical decision support alerts. Frontiers in Pharmacology. 15. 1458095–1458095.
2.
Pratt, Victoria M., Erin C. Boone, Ulrich Broeckel, et al.. (2022). Characterization of Reference Materials for TPMT and NUDT15. Journal of Molecular Diagnostics. 24(10). 1079–1088. 11 indexed citations
3.
Brakenridge, Scott C., Tyler J. Loftus, Ricardo Ungaro, et al.. (2022). Evaluation of a Multivalent Transcriptomic Metric for Diagnosing Surgical Sepsis and Estimating Mortality Among Critically Ill Patients. JAMA Network Open. 5(7). e2221520–e2221520. 6 indexed citations
4.
Jin, Zhongbo, Ruohao Fan, Caili Tong, et al.. (2021). Synchronous Basal Cell Carcinoma and Squamous Cell Carcinoma of Nasal Vestibule With Novel Unique Variants Identified by Whole-exome Sequencing. In Vivo. 36(1). 251–257. 1 indexed citations
5.
Brakenridge, Scott C., Petr Starostik, Uros Midic, et al.. (2021). A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients. Critical Care Explorations. 3(10). e0554–e0554. 12 indexed citations
6.
Zhang, Yuan, et al.. (2021). GATM-Mediated Creatine Biosynthesis Enables Maintenance of FLT3-ITD–Mutant Acute Myeloid Leukemia. Molecular Cancer Research. 20(2). 293–304. 8 indexed citations
7.
Thomas, Cameron D., Hari K. Parvataneni, Chancellor F. Gray, et al.. (2021). A hybrid implementation-effectiveness randomized trial of CYP2D6-guided postoperative pain management. Genetics in Medicine. 23(4). 621–628. 25 indexed citations
8.
Smith, D. Max, Kristin Weitzel, Amanda R. Elsey, et al.. (2019). CYP2D6-guided opioid therapy improves pain control in CYP2D6 intermediate and poor metabolizers: a pragmatic clinical trial. Genetics in Medicine. 21(8). 1842–1850. 105 indexed citations
9.
Lai, Jinping, Jesse Kresak, Dengfeng Cao, et al.. (2019). Gastric Plexiform Fibromyxoma: A Great Mimic of Gastrointestinal Stromal Tumor (GIST) and Diagnostic Pitfalls. Journal of Surgical Research. 239. 76–82. 15 indexed citations
10.
Langaee, Taimour, Richard E. Wagner, Lloyd P. Horne, et al.. (2018). Personalized Dosing of Dichloroacetate Using GSTZ1 Clinical Genotyping Assay. Genetic Testing and Molecular Biomarkers. 22(4). 266–269. 9 indexed citations
11.
Vachhani, Pankit, Jason H. Mendler, Andrew Evans, et al.. (2016). Spontaneous Remission in an Older Patient with RelapsedFLT3ITD Mutant AML. SHILAP Revista de lepidopterología. 2016. 1–7. 11 indexed citations
12.
Deeb, Kristin K., et al.. (2015). Routine Clinical Mutation Profiling of Non–Small Cell Lung Cancer Using Next-Generation Sequencing. Archives of Pathology & Laboratory Medicine. 139(7). 913–921. 24 indexed citations
13.
14.
Vigil, Carlos E., Wei Tan, George Deeb, et al.. (2013). Phase II trial of clofarabine and daunorubicin as induction therapy for acute myeloid leukemia patients greater than or equal to 60 years of age. Leukemia Research. 37(11). 1468–1471. 4 indexed citations
15.
16.
Chanan‐Khan, Asher, Kena C. Miller, Laurie Musial, et al.. (2006). Clinical Efficacy of Lenalidomide in Patients With Relapsed or Refractory Chronic Lymphocytic Leukemia: Results of a Phase II Study. Journal of Clinical Oncology. 24(34). 5343–5349. 314 indexed citations
17.
Lee, Seung‐Sook, et al.. (2002). Angioimmunoblastic T cell lymphoma is derived from mature T‐helper cells with varying expression and loss of detectable CD4. International Journal of Cancer. 103(1). 12–20. 52 indexed citations
18.
Zettl, Andreas, Thomas Rüdiger, Petr Starostik, et al.. (2002). Epstein-Barr Virus–Associated B-Cell Lymphoproliferative Disorders in Angioimmunoblastic T-Cell Lymphoma and Peripheral T-Cell Lymphoma, Unspecified. American Journal of Clinical Pathology. 117(3). 368–379. 159 indexed citations
19.
Rosé, Christian, Petr Starostik, & Eva‐B. Bröcker. (1999). Infection with parapoxvirus induces CD30‐positive cutaneous infiltrates in humans. Journal of Cutaneous Pathology. 26(10). 520–527. 30 indexed citations
20.
Starostik, Petr, et al.. (1996). Transcriptional Repression and Growth Suppression by the p107 Pocket Protein. Molecular and Cellular Biology. 16(7). 3606–3614. 47 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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