Brett Schroeder

1.1k total citations
40 papers, 582 citations indexed

About

Brett Schroeder is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brett Schroeder has authored 40 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Oncology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brett Schroeder's work include Sarcoma Diagnosis and Treatment (9 papers), Virus-based gene therapy research (8 papers) and CAR-T cell therapy research (8 papers). Brett Schroeder is often cited by papers focused on Sarcoma Diagnosis and Treatment (9 papers), Virus-based gene therapy research (8 papers) and CAR-T cell therapy research (8 papers). Brett Schroeder collaborates with scholars based in United States, United Kingdom and Russia. Brett Schroeder's co-authors include Jungtae Rha, Joseph Carroll, Pooja Godara, Hwahyung Lee, Seth M. Pollack, Nameeta Shah, Robin L. Jones, Ilya V. Ulasov, Jae‐Geun Yoon and Maya Sieber‐Blum and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Brett Schroeder

37 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brett Schroeder United States 13 243 185 169 78 70 40 582
Peter Dirks Canada 15 295 1.2× 170 0.9× 114 0.7× 73 0.9× 40 0.6× 31 935
Carlos Murga‐Zamalloa United States 20 608 2.5× 160 0.9× 89 0.5× 74 0.9× 102 1.5× 49 993
Eduard B. Dinca United Kingdom 11 251 1.0× 111 0.6× 97 0.6× 99 1.3× 32 0.5× 17 658
Armelle Luscan France 12 451 1.9× 102 0.6× 277 1.6× 112 1.4× 26 0.4× 19 958
Aurore Siegfried France 15 204 0.8× 97 0.5× 120 0.7× 77 1.0× 16 0.2× 31 586
Stephen W. Gilheeney United States 15 219 0.9× 93 0.5× 179 1.1× 56 0.7× 88 1.3× 36 608
Thomas Rio Frio France 14 612 2.5× 202 1.1× 258 1.5× 369 4.7× 74 1.1× 20 1.2k
Martin Teichert Germany 6 275 1.1× 117 0.6× 51 0.3× 125 1.6× 19 0.3× 6 510
Claire Peghaire United Kingdom 13 356 1.5× 55 0.3× 60 0.4× 72 0.9× 25 0.4× 16 642
Valeria Vincenti Italy 5 586 2.4× 163 0.9× 95 0.6× 199 2.6× 65 0.9× 6 860

Countries citing papers authored by Brett Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Brett Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of Brett Schroeder. A scholar is included among the top collaborators of Brett Schroeder 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 Brett Schroeder. Brett Schroeder 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.
Schroeder, Brett, Constance M. Yuan, Hao‐Wei Wang, et al.. (2025). Phase 2 trial of rituximab with either pentostatin or bendamustine for multiply relapsed or refractory hairy cell leukemia. Blood. 147(7). 725–738.
2.
Rocco, Joseph M., Elizabeth Laidlaw, Bonnie Yates, et al.. (2024). Proliferation of a Novel CD3neg Hyperactivated T-Cell Population Characterizes Adult Hemophagocytic Lymphohistiocytosis and Associates with Disease Activity. Blood. 144(Supplement 1). 5382–5382. 1 indexed citations
3.
Desai, Parth, Nobuyuki Takahashi, Samantha Nichols, et al.. (2024). Tazemetostat in combination with topotecan and pembrolizumab in patients with recurrent small cell lung cancer.. Journal of Clinical Oncology. 42(16_suppl). TPS8130–TPS8130. 5 indexed citations
4.
Alexiev, Borislav A., Eleanor Y. Chen, Brett Schroeder, et al.. (2024). B7-H3 is widely expressed in soft tissue sarcomas. BMC Cancer. 24(1). 1336–1336. 2 indexed citations
5.
Kalinin, Stanislav, et al.. (2023). Carbonic Anhydrase Inhibitors Induce Ferroptosis through Inhibition of AKT/FTH1 Signaling in Ewing Sarcoma Tumor Cells. Cancers. 15(21). 5225–5225. 5 indexed citations
6.
Schroeder, Brett, et al.. (2023). Ewing sarcoma treatment: a gene therapy approach. Cancer Gene Therapy. 30(8). 1066–1071. 4 indexed citations
7.
Alexiev, Borislav A., et al.. (2022). Combinations of Chemotherapy and PD-1/PD-L1 Inhibitors in Sarcoma. Current Treatment Options in Oncology. 23(12). 1861–1876. 7 indexed citations
8.
Schroeder, Brett, et al.. (2022). Latest developments in the pathobiology of Ewing sarcoma. Journal of bone oncology. 35. 100440–100440. 1 indexed citations
9.
Schroeder, Brett, et al.. (2022). Novel Targeted Therapeutic Strategies for Ewing Sarcoma. Cancers. 14(8). 1988–1988. 9 indexed citations
10.
Schroeder, Brett, Bonnie LaFleur, Rachel Gittelman, et al.. (2021). CD4+ T cell and M2 macrophage infiltration predict dedifferentiated liposarcoma patient outcomes. Journal for ImmunoTherapy of Cancer. 9(8). e002812–e002812. 25 indexed citations
11.
Pollack, Seth M., et al.. (2016). Targeting gastrointestinal stromal tumors: the role of regorafenib. OncoTargets and Therapy. 9. 3009–3009. 5 indexed citations
12.
Ulasov, Ilya V., Anton V. Borovjagin, Natalya Kaverina, et al.. (2015). MT1-MMP silencing by an shRNA-armed glioma-targeted conditionally replicative adenovirus (CRAd) improves its anti-glioma efficacy in vitro and in vivo. Cancer Letters. 365(2). 240–250. 13 indexed citations
13.
Ulasov, Ilya V., Anton V. Borovjagin, Brett Schroeder, & A. Yu. Baryshnikov. (2014). Oncolytic adenoviruses: A thorny path to glioma cure. Genes & Diseases. 1(2). 214–226. 13 indexed citations
14.
Shah, Nameeta, et al.. (2013). Exploration of the gene fusion landscape of glioblastoma using transcriptome sequencing and copy number data. BMC Genomics. 14(1). 818–818. 69 indexed citations
15.
Rha, Jungtae, Mohamed A. Genead, Pooja Godara, et al.. (2012). High-resolution Imaging of Photoreceptor Structure in Choroideremia. Investigative Ophthalmology & Visual Science. 53(14). 2120–2120. 1 indexed citations
16.
Wu, Jin, Wentao Liu, Yongqing Li, et al.. (2012). Construction of recombinant adenovirus vector with connexin 43 gene. Acta Biochimica et Biophysica Sinica. 44(10). 894–895. 2 indexed citations
17.
Rha, Jungtae, Melissa Wagner-Schuman, Anthony T. Moore, et al.. (2010). Adaptive Optics Imaging of the Cone Mosaic in Oligocone Trichromacy. Investigative Ophthalmology & Visual Science. 51(13). 6296–6296. 1 indexed citations
18.
Rha, Jungtae, Adam M. Dubis, Melissa Wagner-Schuman, et al.. (2009). Spectral Domain Optical Coherence Tomography and Adaptive Optics: Imaging Photoreceptor Layer Morphology to Interpret Preclinical Phenotypes. Advances in experimental medicine and biology. 664. 309–316. 27 indexed citations
19.
Rha, Jungtae, Brett Schroeder, Pooja Godara, & Joseph Carroll. (2009). Variable optical activation of human cone photoreceptors visualized using a short coherence light source. Optics Letters. 34(24). 3782–3782. 57 indexed citations
20.
Schroeder, Brett, et al.. (1996). Multiple Actions of Stem Cell Factor in Neural Crest Cell Differentiationin Vitro. Developmental Biology. 174(2). 345–359. 42 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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