Sina Oppermann

812 total citations
10 papers, 465 citations indexed

About

Sina Oppermann is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Sina Oppermann has authored 10 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Neurology. Recurrent topics in Sina Oppermann's work include Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Sina Oppermann is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Sina Oppermann collaborates with scholars based in Germany, Canada and Italy. Sina Oppermann's co-authors include Carsten Culmsee, Amalia M. Dolga, Anja Jelinek, Lena Hoffmann, Sandra Neitemeier, Goutham K. Ganjam, David W. Andrews, Brian Leber, David Spaner and Jarkko Ylanko and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Sina Oppermann

9 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sina Oppermann Germany	8	276	217	145	72	50	10	465
Anuradha Waghray United States	8	233 0.8×	191 0.9×	123 0.8×	47 0.7×	97 1.9×	10	491
Giorgia Federico Italy	10	220 0.8×	186 0.9×	124 0.9×	81 1.1×	111 2.2×	22	518
Sze Kiat Tan United States	8	225 0.8×	121 0.6×	147 1.0×	58 0.8×	46 0.9×	14	373
Yani Lin China	16	364 1.3×	55 0.3×	177 1.2×	55 0.8×	81 1.6×	44	555
Maria Quiles del Rey United States	7	373 1.4×	151 0.7×	341 2.4×	46 0.6×	108 2.2×	8	625
Jingping Ge China	10	368 1.3×	102 0.5×	193 1.3×	41 0.6×	67 1.3×	38	588
Myles C. Hodgson United States	11	357 1.3×	214 1.0×	116 0.8×	31 0.4×	88 1.8×	14	565
Guangning Yan China	11	330 1.2×	84 0.4×	182 1.3×	54 0.8×	175 3.5×	14	507
Yanqiu Song China	13	268 1.0×	61 0.3×	104 0.7×	32 0.4×	125 2.5×	34	445

Countries citing papers authored by Sina Oppermann

Since Specialization

Citations

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

Fields of papers citing papers by Sina Oppermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Oppermann

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

All Works

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10 of 10 papers shown

Oppermann, Sina, Heike Peterziel, Ina Oehme, et al.. (2024). Combination drug screen identifies synergistic drug interaction of BCL-XL and class I histone deacetylase inhibitors in MYC-amplified medulloblastoma cells. Journal of Neuro-Oncology. 166(1). 99–112. 7 indexed citations

Berker, Yannick, Heike Peterziel, Petra Fiesel, et al.. (2022). Patient-by-Patient Deep Transfer Learning for Drug-Response Profiling Using Confocal Fluorescence Microscopy of Pediatric Patient-Derived Tumor-Cell Spheroids. IEEE Transactions on Medical Imaging. 41(12). 3981–3999. 5 indexed citations

Peterziel, Heike, Kathrin Schramm, Sina Oppermann, et al.. (2022). Multiomics analysis of pediatric solid tumors within the INFORM precision oncology study: From functional drug profiling to biomarker identification.. Journal of Clinical Oncology. 40(16_suppl). 10036–10036.

Berker, Yannick, Heike Peterziel, Laura Turunen, et al.. (2021). iTReX: Interactive exploration of mono- and combination therapy dose response profiling data. Pharmacological Research. 175. 105996–105996. 9 indexed citations

Neitemeier, Sandra, Anja Jelinek, Lena Hoffmann, et al.. (2017). BID links ferroptosis to mitochondrial cell death pathways. Redox Biology. 12. 558–570. 290 indexed citations

Oppermann, Sina, Jarkko Ylanko, Yonghong Shi, et al.. (2016). High-content screening identifies kinase inhibitors that overcome venetoclax resistance in activated CLL cells. Blood. 128(7). 934–947. 95 indexed citations

Oppermann, Sina, Stephanie Tung, Yonghong Shi, et al.. (2016). Janus and PI3-kinases mediate glucocorticoid resistance in activated chronic leukemia cells. Oncotarget. 7(45). 72608–72621. 12 indexed citations

Brahmbhatt, Hetal, Sina Oppermann, Elizabeth J. Osterlund, Brian Leber, & David W. Andrews. (2015). Molecular Pathways: Leveraging the BCL-2 Interactome to Kill Cancer Cells—Mitochondrial Outer Membrane Permeabilization and Beyond. Clinical Cancer Research. 21(12). 2671–2676. 28 indexed citations

Oppermann, Sina, et al.. (2014). N‐Acyl Derivatives of 4‐Phenoxyaniline as Neuroprotective Agents. ChemMedChem. 9(10). 2260–2273. 8 indexed citations

10.

Oppermann, Sina, Amalia M. Dolga, Nunzianna Doti, et al.. (2014). Novel N-Phenyl–Substituted Thiazolidinediones Protect Neural Cells against Glutamate- and tBid-Induced Toxicity. Journal of Pharmacology and Experimental Therapeutics. 350(2). 273–289. 11 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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