Brock E. Schroeder

3.0k total citations · 1 hit paper
63 papers, 2.3k citations indexed

About

Brock E. Schroeder is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Brock E. Schroeder has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cancer Research, 21 papers in Pulmonary and Respiratory Medicine and 19 papers in Genetics. Recurrent topics in Brock E. Schroeder's work include Cancer Genomics and Diagnostics (14 papers), Breast Cancer Treatment Studies (14 papers) and Advanced Breast Cancer Therapies (11 papers). Brock E. Schroeder is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), Breast Cancer Treatment Studies (14 papers) and Advanced Breast Cancer Therapies (11 papers). Brock E. Schroeder collaborates with scholars based in United States, United Kingdom and New Zealand. Brock E. Schroeder's co-authors include Ann E. Kelley, Edward H. Koo, Catherine A. Schnabel, Mark G. Erlander, David A. Merrill, Albert Kim, Edward Rockenstein, Dennis C. Sgroi, Giovanni Coppola and J. M. Conner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Brock E. Schroeder

57 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neuroprotective effects of brain-derived neurotrophic factor in rodent and primate models of Alzheimer's disease

2009 837 citations Brock E. Schroeder, Edward H. Koo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brock E. Schroeder United States	19	714	599	560	545	375	63	2.3k
Ernest Sirimanne New Zealand	31	864 1.2×	1.4k 2.3×	324 0.6×	474 0.9×	254 0.7×	39	3.3k
Olivier Nicole France	27	1.0k 1.4×	1.3k 2.1×	483 0.9×	458 0.8×	85 0.2×	51	3.1k
Fran Borovečki Croatia	24	882 1.2×	1.6k 2.8×	222 0.4×	566 1.0×	228 0.6×	98	2.9k
Anton Pekcec Germany	25	735 1.0×	594 1.0×	131 0.2×	201 0.4×	103 0.3×	53	2.1k
Susan C. Su United States	14	640 0.9×	1.8k 3.0×	344 0.6×	594 1.1×	430 1.1×	15	2.7k
Tong‐Chun Wen Japan	21	390 0.5×	710 1.2×	163 0.3×	316 0.6×	132 0.4×	31	2.3k
Nicholas Rensing United States	24	626 0.9×	971 1.6×	134 0.2×	949 1.7×	329 0.9×	44	2.4k
Robert Pawlak Poland	24	731 1.0×	770 1.3×	359 0.6×	462 0.8×	104 0.3×	56	2.4k
Hitoe Nishino Japan	22	582 0.8×	404 0.7×	181 0.3×	159 0.3×	125 0.3×	67	2.1k
Takakuni Maki Japan	35	498 0.7×	907 1.5×	253 0.5×	663 1.2×	61 0.2×	107	3.7k

Countries citing papers authored by Brock E. Schroeder

Since Specialization

Citations

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

Fields of papers citing papers by Brock E. Schroeder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brock E. Schroeder

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

All Works

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20 of 20 papers shown

Vita, Alessandro De, Douglas Hanes, Bela Bapat, et al.. (2024). Clinical impact for advanced non-small-cell lung cancer patients tested using comprehensive genomic profiling at a large USA health care system. SHILAP Revista de lepidopterología. 5. 100057–100057. 2 indexed citations

Bapat, Bela, Douglas Hanes, Shu‐Ching Chang, et al.. (2024). Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System. JCO Oncology Practice. 20(11). 1523–1532. 2 indexed citations

Bapat, Bela, Monika A. Izano, Molly Scannell Bryan, et al.. (2024). Real-World Impact of Comprehensive Genomic Profiling on Biomarker Detection, Receipt of Therapy, and Clinical Outcomes in Advanced Non–Small Cell Lung Cancer. JCO Precision Oncology. 8(8). e2400075–e2400075. 7 indexed citations

Jobanputra, Vaidehi, Brock E. Schroeder, Heidi L. Rehm, et al.. (2024). Advancing access to genome sequencing for rare genetic disorders: recent progress and call to action. npj Genomic Medicine. 9(1). 23–23. 7 indexed citations

Lavelle, Tara A., Xue Feng, Joshua T. Cohen, et al.. (2022). Cost-effectiveness of exome and genome sequencing for children with rare and undiagnosed conditions. Genetics in Medicine. 24(6). 1349–1361. 35 indexed citations

Incerti, Devin, et al.. (2021). Cost-effectiveness of genome sequencing for diagnosing patients with undiagnosed rare genetic diseases. Genetics in Medicine. 24(1). 109–118. 34 indexed citations

Schroeder, Brock E., et al.. (2021). Economic Impact of Coverage Expansion for Non-invasive Prenatal Testing Through a Performance-Based Risk-Sharing Agreement. PharmacoEconomics - Open. 5(3). 449–458. 4 indexed citations

Schroeder, Brock E., et al.. (2021). The diagnostic trajectory of infants and children with clinical features of genetic disease. npj Genomic Medicine. 6(1). 98–98. 7 indexed citations

Zhang, Yi, Brock E. Schroeder, Piiha-Lotta Jerevall, et al.. (2017). A Novel Breast Cancer Index for Prediction of Distant Recurrence in HR+ Early-Stage Breast Cancer with One to Three Positive Nodes. Clinical Cancer Research. 23(23). 7217–7224. 34 indexed citations

10.

Schroeder, Brock E., Yi Zhang, Olle Stål, et al.. (2017). Risk stratification with Breast Cancer Index for late distant recurrence in patients with clinically low-risk (T1N0) estrogen receptor-positive breast cancer. npj Breast Cancer. 3(1). 28–28. 13 indexed citations

11.

Bentley, Tanya G. K., Brock E. Schroeder, Catherine A. Schnabel, et al.. (2014). Cost effectiveness of a 92-gene assay for the diagnosis of metastatic cancer. Journal of Medical Economics. 17(8). 527–537. 3 indexed citations

12.

Zhang, Yi, Catherine A. Schnabel, Brock E. Schroeder, et al.. (2013). Breast Cancer Index Identifies Early-Stage Estrogen Receptor–Positive Breast Cancer Patients at Risk for Early- and Late-Distant Recurrence. Clinical Cancer Research. 19(15). 4196–4205. 163 indexed citations

13.

Sgroi, Dennis C., Ivana Šestak, Jack Cuzick, et al.. (2013). Prediction of late distant recurrence in patients with oestrogen-receptor-positive breast cancer: a prospective comparison of the breast-cancer index (BCI) assay, 21-gene recurrence score, and IHC4 in the TransATAC study population. The Lancet Oncology. 14(11). 1067–1076. 275 indexed citations

14.

Weiss, Lawrence M., Peiguo Chu, Brock E. Schroeder, et al.. (2012). Blinded Comparator Study of Immunohistochemical Analysis versus a 92-Gene Cancer Classifier in the Diagnosis of the Primary Site in Metastatic Tumors. Journal of Molecular Diagnostics. 15(2). 263–269. 54 indexed citations

15.

Soupart, Alain, Brock E. Schroeder, & Guy Decaux. (2007). Treatment of hyponatraemia by urea decreases risks of brain complications in rats. Brain osmolyte contents analysis. Nephrology Dialysis Transplantation. 22(7). 1856–1863. 41 indexed citations

16.

Smith, Steven R., John E. Blundell, Colleen Burns, et al.. (2007). Pramlintide treatment reduces 24-h caloric intake and meal sizes and improves control of eating in obese subjects: a 6-wk translational research study. American Journal of Physiology-Endocrinology and Metabolism. 293(2). E620–E627. 107 indexed citations

17.

Saganich, Michael J., Brock E. Schroeder, Verónica Galván, et al.. (2006). Deficits in Synaptic Transmission and Learning in Amyloid Precursor Protein (APP) Transgenic Mice Require C-Terminal Cleavage of APP. Journal of Neuroscience. 26(52). 13428–13436. 110 indexed citations

18.

Schroeder, Brock E. & Ann E. Kelley. (2002). Conditioned Fos expression following morphine-paired contextual cue exposure is environment specific.. Behavioral Neuroscience. 116(4). 727–732. 22 indexed citations

19.

Schroeder, Brock E., Craig A. Schiltz, & Ann E. Kelley. (2002). Neural Activation Profile Elicited by Cues Associated with the Anxiogenic Drug Yohimbine Differs from That Observed for Reward-Paired Cues. Neuropsychopharmacology. 28(1). 14–21. 38 indexed citations

20.

Schroeder, Brock E., et al.. (2001). A common profile of prefrontal cortical activation following exposure to nicotine- or chocolate-associated contextual cues. Neuroscience. 105(3). 535–545. 134 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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