Thomas Broudy

35.6k total citations
9 papers, 171 citations indexed

About

Thomas Broudy is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Thomas Broudy has authored 9 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Cancer Research. Recurrent topics in Thomas Broudy's work include Streptococcal Infections and Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Research Studies (2 papers). Thomas Broudy is often cited by papers focused on Streptococcal Infections and Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Research Studies (2 papers). Thomas Broudy collaborates with scholars based in United States and Canada. Thomas Broudy's co-authors include Vincent A. Fischetti, Vijaykumar Pancholi, Jill M. Ricono, Ruyi Li, Zhu-Yao Wang, Patrick Carlson, Cyrus Mirsaidi, Robert Tseng, Kenna Anderes and Chelsea Mullins and has published in prestigious journals such as Cancer Research, Infection and Immunity and European Journal of Cancer.

In The Last Decade

Thomas Broudy

7 papers receiving 168 citations

Peers

Thomas Broudy

PHEOH

ECOLO

MICRO

Manjeet Khubbar United States

Samson Pandam Salifu Ghana

Luis Jáuregui-Peredo United States

Neris García‐González Spain

Vivek Samant United States

Amy S. Gargis United States

Yvonne Van Gessel United States

Samuel D. Chorlton Canada

Melissa Carter United Kingdom

Swee-Han Goh Canada

Manjeet Khubbar United States

Thomas Broudy

50 ×0.6

24 ×0.3

PHEOH

46 ×0.7

ECOLO

87 ×1.7

19 ×0.7

MICRO

Citations per year, relative to Thomas Broudy Thomas Broudy (= 1×) peers Manjeet Khubbar

Countries citing papers authored by Thomas Broudy

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Broudy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Broudy

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Li, Ruyi, et al.. (2019). Abstract A016: Use of luminescent xenograft and 3D In vitro tumor models in pharmacology studies of chimeric antigen receptor-T (CAR-T) cells. Molecular Cancer Therapeutics. 18(12_Supplement). A016–A016.

Thatte, Jayant, et al.. (2017). Abstract 4203: Kinase inhibitor demonstrates efficacy in patient derived xenograft model of fibrolamellar hepatocellular carcinoma featuring DNAJB1-PRKACA gene fusion. Cancer Research. 77(13_Supplement). 4203–4203.

Mikule, Keith, et al.. (2015). Abstract B169: A mouse avatar tumor maintenance study identified a subset of SCLC patient-derived tumor xenograft models sensitive to the PARP inhibitor niraparib. Molecular Cancer Therapeutics. 14(12_Supplement_2). B169–B169. 1 indexed citations

Carlson, Patrick, Jill M. Ricono, Chelsea Mullins, et al.. (2014). Abstract 1189: Establishment of patient-derived xenograft (PDX) models for small cell lung cancer (SCLC) as a preclinical platform for drug development. Cancer Research. 74(19_Supplement). 1189–1189. 1 indexed citations

Mullins, Chelsea, Jill M. Ricono, Gaston Habets, et al.. (2014). Abstract 1224: A patient derived xenograft (PDX) platform for development of next generation KIT kinase inhibitors in imatinib-resistant gastrointestinal stromal tumors (GIST). Cancer Research. 74(19_Supplement). 1224–1224. 1 indexed citations

Tseng, Robert, et al.. (2011). PP 64 Predictive assays for targeted therapeutics using image-based high content analysis of patient-derived tumor models. European Journal of Cancer. 47. S28–S28. 1 indexed citations

Broudy, Thomas & Vincent A. Fischetti. (2003). In Vivo Lysogenic Conversion of Tox ⁻ Streptococcus pyogenes to Tox ⁺ with Lysogenic Streptococci or Free Phage. Infection and Immunity. 71(7). 3782–3786. 40 indexed citations

Broudy, Thomas, Vijaykumar Pancholi, & Vincent A. Fischetti. (2002). The In Vitro Interaction ofStreptococcus pyogeneswith Human Pharyngeal Cells Induces a Phage-Encoded Extracellular DNase. Infection and Immunity. 70(6). 2805–2811. 58 indexed citations

Broudy, Thomas, Vijaykumar Pancholi, & Vincent A. Fischetti. (2001). Induction of Lysogenic Bacteriophage and Phage-Associated Toxin from Group A Streptococci during Coculture with Human Pharyngeal Cells. Infection and Immunity. 69(3). 1440–1443. 69 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.

Explore authors with similar magnitude of impact