Chad Vanderbilt

2.8k total citations
64 papers, 947 citations indexed

About

Chad Vanderbilt is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Chad Vanderbilt has authored 64 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cancer Research, 23 papers in Pulmonary and Respiratory Medicine and 17 papers in Molecular Biology. Recurrent topics in Chad Vanderbilt's work include Cancer Genomics and Diagnostics (19 papers), Genetic factors in colorectal cancer (11 papers) and Sarcoma Diagnosis and Treatment (8 papers). Chad Vanderbilt is often cited by papers focused on Cancer Genomics and Diagnostics (19 papers), Genetic factors in colorectal cancer (11 papers) and Sarcoma Diagnosis and Treatment (8 papers). Chad Vanderbilt collaborates with scholars based in United States, Canada and United Kingdom. Chad Vanderbilt's co-authors include Marc Ladanyi, Amir Momeni Boroujeni, Christopher H. Lieu, Wells A. Messersmith, John J. Arcaroli, David Tai, Robert A. Soslow, Keith Wells, Dara L. Aisner and Sounak Gupta and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Chad Vanderbilt

57 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Vanderbilt United States 17 306 306 290 257 151 64 947
Paweł Blecharz Poland 15 234 0.8× 218 0.7× 358 1.2× 309 1.2× 145 1.0× 72 1.0k
Thèrése Bocklage United States 23 497 1.6× 396 1.3× 418 1.4× 275 1.1× 221 1.5× 73 1.5k
Daniela Russo Italy 21 342 1.1× 164 0.5× 350 1.2× 195 0.8× 195 1.3× 97 1.3k
Jerzy Jakubowicz Poland 15 174 0.6× 270 0.9× 325 1.1× 295 1.1× 141 0.9× 58 931
Mitsumasa Osakabe Japan 15 259 0.8× 244 0.8× 301 1.0× 159 0.6× 176 1.2× 80 813
Johanna Strehl Germany 16 238 0.8× 240 0.8× 318 1.1× 260 1.0× 337 2.2× 34 1.2k
Daniela Stramazzotti Italy 16 197 0.6× 188 0.6× 268 0.9× 124 0.5× 111 0.7× 43 894
Ramona Erber Germany 17 183 0.6× 222 0.7× 425 1.5× 187 0.7× 199 1.3× 83 840
David N. Brown United States 19 426 1.4× 134 0.4× 265 0.9× 342 1.3× 207 1.4× 46 1.0k
José Antonio López‐Guerrero Spain 17 348 1.1× 619 2.0× 439 1.5× 202 0.8× 84 0.6× 55 1.2k

Countries citing papers authored by Chad Vanderbilt

Since Specialization
Citations

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

Fields of papers citing papers by Chad Vanderbilt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Vanderbilt

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Vanderbilt. A scholar is included among the top collaborators of Chad Vanderbilt 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 Chad Vanderbilt. Chad Vanderbilt 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.
Gundem, Gunes, Chad Vanderbilt, Leonard H. Wexler, et al.. (2025). Undifferentiated Pleomorphic Sarcoma in Children and Young Adults: A Comprehensive Clinicopathologic, Genomic, and Epigenetic Comparison With Adult Counterparts. Modern Pathology. 38(8). 100769–100769.
2.
Ghione, Paola, Diana Mandelker, Maria E. Arcila, et al.. (2025). BRCA1/2 impact on the development of implant-associated lymphoma in women with breast cancer and textured implants. Blood Advances. 9(17). 4436–4443.
3.
Vanderbilt, Chad, Soo‐Ryum Yang, Subhiksha Nandakumar, et al.. (2025). Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling. Nature Communications. 16(1). 116–116. 2 indexed citations
4.
Dermawan, Josephine K., Yanming Zhang, Chad Vanderbilt, et al.. (2024). Detection of GRM1 gene rearrangements in chondromyxoid fibroma: a comparison of fluorescence in‐situ hybridisation, RNA sequencing and immunohistochemical analysis. Histopathology. 85(6). 889–898. 3 indexed citations
5.
Vaz, Victor R., Biagio Ricciuti, Joao V. Alessi, et al.. (2024). Response to Crizotinib After Entrectinib Resistance in ROS1 -Rearranged, MET -Amplified Lung Adenocarcinoma. JCO Precision Oncology. 8(8). e2400394–e2400394.
6.
Dermawan, Josephine K., Emily K. Slotkin, William D. Tap, et al.. (2024). Chromoplexy Is a Frequent Early Clonal Event in EWSR1 -Rearranged Round Cell Sarcomas That Can Be Detected Using Clinically Validated Targeted Sequencing Panels. Cancer Research. 84(9). 1504–1516. 2 indexed citations
7.
Boroujeni, Amir Momeni, Bastien Nguyen, Chad Vanderbilt, et al.. (2022). Genomic landscape of endometrial carcinomas of no specific molecular profile. Modern Pathology. 35(9). 1269–1278. 54 indexed citations
8.
Ho, David Joon, Narasimhan P. Agaram, Chad Vanderbilt, et al.. (2022). Deep Learning–Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction. American Journal Of Pathology. 193(3). 341–349. 15 indexed citations
9.
Duncavage, Eric J., Joshua F. Coleman, Monica E. de Baca, et al.. (2022). Recommendations for the Use of in Silico Approaches for Next-Generation Sequencing Bioinformatic Pipeline Validation. Journal of Molecular Diagnostics. 25(1). 3–16. 13 indexed citations
10.
Dermawan, Josephine K., Sinchun Hwang, Leonard H. Wexler, et al.. (2022). Myxoid pleomorphic liposarcoma is distinguished from other liposarcomas by widespread loss of heterozygosity and significantly worse overall survival: a genomic and clinicopathologic study. Modern Pathology. 35(11). 1644–1655. 23 indexed citations
11.
Boroujeni, Amir Momeni, Wissam Dahoud, Chad Vanderbilt, et al.. (2021). Clinicopathologic and Genomic Analysis of TP53 -Mutated Endometrial Carcinomas. Clinical Cancer Research. 27(9). 2613–2623. 62 indexed citations
12.
Vanderbilt, Chad, Jin K. Kim, Chin‐Tung Chen, et al.. (2021). Tumor-Infiltrating Lymphocytes, Tumor Mutational Burden, and Genetic Alterations in Microsatellite Unstable, Microsatellite Stable, or Mutant POLE/POLD1 Colon Cancer. JCO Precision Oncology. 5(5). 817–826. 22 indexed citations
13.
14.
15.
Boroujeni, Amir Momeni, Paulo Salazar, Tao Zheng, et al.. (2020). Rapid EGFR Mutation Detection Using the Idylla Platform. Journal of Molecular Diagnostics. 23(3). 310–322. 19 indexed citations
16.
Vanderbilt, Chad, et al.. (2020). Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. 843–856. 9 indexed citations
17.
Gupta, Sounak, Chad Vanderbilt, Wassim Abida, et al.. (2020). Immunohistochemistry-based assessment of androgen receptor status and the AR-null phenotype in metastatic castrate resistant prostate cancer. Prostate Cancer and Prostatic Diseases. 23(3). 507–516. 10 indexed citations
18.
Chang, Jason C., Deepu Alex, Matthew J. Bott, et al.. (2019). Comprehensive Next-Generation Sequencing Unambiguously Distinguishes Separate Primary Lung Carcinomas From Intrapulmonary Metastases: Comparison with Standard Histopathologic Approach. Clinical Cancer Research. 25(23). 7113–7125. 67 indexed citations
19.
Gupta, Sounak, Chad Vanderbilt, Paolo Cotzia, et al.. (2018). Next-Generation Sequencing–Based Assessment of JAK2, PD-L1, and PD-L2 Copy Number Alterations at 9p24.1 in Breast Cancer. Journal of Molecular Diagnostics. 21(2). 307–317. 20 indexed citations
20.
Tai, David, Keith Wells, John J. Arcaroli, et al.. (2015). Targeting the WNT Signaling Pathway in Cancer Therapeutics. The Oncologist. 20(10). 1189–1198. 118 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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