Frederic G. Barr

17.9k total citations · 4 hit papers
149 papers, 11.9k citations indexed

About

Frederic G. Barr is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Frederic G. Barr has authored 149 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Pulmonary and Respiratory Medicine, 88 papers in Molecular Biology and 40 papers in Oncology. Recurrent topics in Frederic G. Barr's work include Sarcoma Diagnosis and Treatment (102 papers), Tumors and Oncological Cases (33 papers) and Renal and related cancers (21 papers). Frederic G. Barr is often cited by papers focused on Sarcoma Diagnosis and Treatment (102 papers), Tumors and Oncological Cases (33 papers) and Renal and related cancers (21 papers). Frederic G. Barr collaborates with scholars based in United States, Canada and United Kingdom. Frederic G. Barr's co-authors include Richard J. Davis, Jaclyn A. Biegel, Beverly S. Emanuel, Naomi Galili, G Rovera, Gabriel Núñez, Jeannette Bennicelli, David M. Parham, Kun‐Liang Guan and Eric Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Nucleic Acids Research.

In The Last Decade

Frederic G. Barr

146 papers receiving 11.7k citations

Hit Papers

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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.

Fusion of a fork head domain gene to PAX3 in the solid tumour alveolar rhabdomyosarcoma

1993 736 citations Frederic G. Barr et al. profile →
Negative Regulation of the Forkhead Transcription Factor FKHR by Akt

1999 656 citations Frederic G. Barr et al. profile →
Rhabdomyosarcoma

2019 519 citations Stephen X. Skapek, Frederic G. Barr et al. profile →
PAX3-FKHR and PAX7-FKHR Gene Fusions Are Prognostic Indicators in Alveolar Rhabdomyosarcoma: A Report From the Children’s Oncology Group

2002 510 citations Stephen J. Qualman, Harold M. Maurer et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Frederic G. Barr	6.9k	6.0k	3.1k	2.7k	1.9k	149	11.9k
Alain Aurias	5.5k 0.8×	5.8k 1.0×	2.6k 0.8×	2.6k 0.9×	1.8k 1.0×	179	12.3k
Janet Shipley	4.7k 0.7×	5.5k 0.9×	2.5k 0.8×	1.9k 0.7×	2.1k 1.1×	216	11.1k
Katia Scotlandi	3.6k 0.5×	5.0k 0.8×	2.8k 0.9×	968 0.4×	2.2k 1.2×	270	9.4k
David N. Shapiro	2.3k 0.3×	3.0k 0.5×	2.1k 0.7×	1.6k 0.6×	788 0.4×	66	6.5k
Anthony Montag	1.8k 0.3×	3.0k 0.5×	2.6k 0.8×	774 0.3×	1.2k 0.7×	146	9.2k
Janusz Limon	2.6k 0.4×	1.8k 0.3×	1.2k 0.4×	962 0.4×	968 0.5×	240	5.8k
Jaclyn A. Biegel	2.4k 0.3×	10.0k 1.7×	1.7k 0.6×	4.8k 1.8×	1.5k 0.8×	244	13.9k
Barbara Dockhorn‐Dworniczak	1.8k 0.3×	1.9k 0.3×	1.4k 0.5×	1.0k 0.4×	1.0k 0.5×	112	5.0k
Shuji Takada	4.5k 0.7×	5.9k 1.0×	3.9k 1.3×	934 0.3×	2.8k 1.5×	138	10.6k
Azra H. Ligon	1.8k 0.3×	4.5k 0.8×	4.9k 1.6×	2.7k 1.0×	1.7k 0.9×	89	11.5k

Countries citing papers authored by Frederic G. Barr

Since Specialization

Citations

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

Fields of papers citing papers by Frederic G. Barr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederic G. Barr. 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 Frederic G. Barr. The network helps show where Frederic G. Barr may publish in the future.

Co-authorship network of co-authors of Frederic G. Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Frederic G. Barr. A scholar is included among the top collaborators of Frederic G. Barr 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 Frederic G. Barr. Frederic G. Barr 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

Boudjadi, Salah, Bishwanath Chatterjee, Thanh Nguyen, et al.. (2025). Involvement of the FGF8/FGF Receptor Signaling Pathway in the Maintenance and Progression of Fusion-Positive Rhabdomyosarcoma. Molecular Cancer Therapeutics. 25(3). 493–505.

Sun, Wenyue, Stephen M. Hewitt, Hollis Wright, Charles Keller, & Frederic G. Barr. (2025). DNA methylation patterns are influenced by Pax3 :: Foxo1 expression and developmental lineage in rhabdomyosarcoma tumours forming in genetically engineered mouse models. The Journal of Pathology. 265(3). 316–329. 2 indexed citations

Song, Young, Purushottam B. Tiwari, Hsien-Chao Chou, et al.. (2023). Piperacetazine Directly Binds to the PAX3::FOXO1 Fusion Protein and Inhibits Its Transcriptional Activity. Cancer Research Communications. 3(10). 2030–2043. 3 indexed citations

Green, Benjamin L., Christopher T. Richie, Bishwanath Chatterjee, et al.. (2022). Novel GLCCI1-BRAF fusion drives kinase signaling in a case of pheochromocytomatosis. European Journal of Endocrinology. 187(1). 185–196. 3 indexed citations

Whittle, Sarah Burkhead, Rajkumar Venkatramani, Svetlana Pack, et al.. (2022). Congenital spindle cell rhabdomyosarcoma: An international cooperative analysis. European Journal of Cancer. 168. 56–64. 19 indexed citations

Boudjadi, Salah, Puspa R. Pandey, Bishwanath Chatterjee, et al.. (2021). A Fusion Transcription Factor–Driven Cancer Progresses to a Fusion-Independent Relapse via Constitutive Activation of a Downstream Transcriptional Target. Cancer Research. 81(11). 2930–2942. 13 indexed citations

Hibbitts, Emily, Yueh‐Yun Chi, Douglas S. Hawkins, et al.. (2019). Refinement of risk stratification for childhood rhabdomyosarcoma using FOXO1 fusion status in addition to established clinical outcome predictors: A report from the Children's Oncology Group. Cancer Medicine. 8(14). 6437–6448. 96 indexed citations

Rudzinski, Erin R., James R. Anderson, Yueh‐Yun Chi, et al.. (2017). Histology, fusion status, and outcome in metastatic rhabdomyosarcoma: A report from the Children's Oncology Group. Pediatric Blood & Cancer. 64(12). 65 indexed citations

Olanich, Mary E., Wenyue Sun, Stephen M. Hewitt, et al.. (2015). CDK4 Amplification Reduces Sensitivity to CDK4/6 Inhibition in Fusion-Positive Rhabdomyosarcoma. Clinical Cancer Research. 21(21). 4947–4959. 67 indexed citations

10.

Rudzinski, Erin R., Lisa A. Teot, James R. Anderson, et al.. (2013). Dense Pattern of Embryonal Rhabdomyosarcoma, a Lesion Easily Confused With Alveolar Rhabdomyosarcoma. American Journal of Clinical Pathology. 140(1). 82–90. 66 indexed citations

11.

Husain, Aliya N., David M. Parham, Timothy J. Triche, et al.. (2013). A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer. Cancer Research. 73(18). 5625–5632. 4 indexed citations

12.

Duan, Fenghai, Lynette M. Smith, Roddy S. O’Connor, et al.. (2011). Genomic and Clinical Analysis of Amplification of the 13q31 Chromosomal Region in Alveolar Rhabdomyosarcoma: A Report from the Children's Oncology Group. Clinical Cancer Research. 17(6). 1463–1473. 50 indexed citations

13.

Shukla, Neerav, Nabahet Ameur, İsmail Yılmaz, et al.. (2011). Oncogene Mutation Profiling of Pediatric Solid Tumors Reveals Significant Subsets of Embryonal Rhabdomyosarcoma and Neuroblastoma with Mutated Genes in Growth Signaling Pathways. Clinical Cancer Research. 18(3). 748–757. 172 indexed citations

14.

Tarnowski, Maciej, Katarzyna Grymuła, Ryan Reca, et al.. (2010). Regulation of Expression of Stromal-Derived Factor-1 Receptors: CXCR4 and CXCR7 in Human Rhabdomyosarcomas. Molecular Cancer Research. 8(1). 1–14. 63 indexed citations

15.

Nishijo, Koichi, Qingrong Chen, Lei Zhang, et al.. (2009). Credentialing a Preclinical Mouse Model of Alveolar Rhabdomyosarcoma. Cancer Research. 69(7). 2902–2911. 66 indexed citations

16.

Nishio, Jun, Pamela A. Althof, Jacqueline Bailey, et al.. (2006). Use of a novel FISH assay on paraffin-embedded tissues as an adjunct to diagnosis of alveolar rhabdomyosarcoma. Laboratory Investigation. 86(6). 547–556. 56 indexed citations

17.

Zhang, Paul J., John R. Goldblum, Bruce Pawel, et al.. (2003). Immunophenotype of Desmoplastic Small Round Cell Tumors as Detected in Cases with EWS-WT1 Gene Fusion Product. Modern Pathology. 16(3). 229–235. 101 indexed citations

18.

Raney, R. Beverly, James R. Anderson, Frederic G. Barr, et al.. (2001). Rhabdomyosarcoma and Undifferentiated Sarcoma in the First Two Decades of Life: A Selective Review of Intergroup Rhabdomyosarcoma Study Group Experience and Rationale for Intergroup Rhabdomyosarcoma Study V. The American journal of pediatric hematology/oncology. 23(4). 215–220. 273 indexed citations

19.

Kelly, Kara M., Richard B. Womer, & Frederic G. Barr. (1996). Minimal disease detection in patients with alveolar rhabdomyosarcoma using a reverse transcriptase‐polymerase chain reaction method. Cancer. 78(6). 1320–1327. 1 indexed citations

20.

Barr, Frederic G., et al.. (1989). Aortic degenerative changes and thrombus formation: An unusual cause of massive myocardial infarction with normal coronary arteries. The American Journal of Medicine. 86(6). 718–722. 20 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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