Chad Vanderbilt
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 15
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- Sarcoma Diagnosis and Treatment 7
- Lung Cancer Treatments and Mutations 6
- Co-authors
- Marc Ladanyi (26 shared papers)Amir Momeni Boroujeni (5 shared papers)John J. Arcaroli (1 shared paper)Keith Wells (1 shared paper)Christopher H. Lieu (1 shared paper)Robert A. Soslow (4 shared papers)Dara L. Aisner (1 shared paper)David Tai (1 shared paper)
- Journals
- Modern Pathology (7 papers)Journal of Molecular Diagnostics (6 papers)Journal of Clinical Oncology (6 papers)Human Pathology (4 papers)Cancer Research (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Chad Vanderbilt
60 papers receiving 1.0k citations
Chad Vanderbilt's Hit Papers
Peers
Comparison fields: 5 of 81
- Obstetrics and Gynecology 103
- Cancer Research 196
- Oncology 250
- Otorhinolaryngology 37
- Pulmonary and Respiratory Medicine 261
Countries citing papers authored by Chad Vanderbilt
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
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-authors
The 25 scholars most cited alongside Chad Vanderbilt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2019 | 70 | |
| 3 | 2021 | 65 | |
| 4 | 2022 | 58 | |
| 5 | 2022 | 43 | |
| 6 | 2019 | 43 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 27 | |
| 10 | A clinical benchmark of public self-supervised pathology foundation models Hit paper breakdown → | 2025 | 26 |
| 11 | 2024 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 25 | |
| 14 | 2021 | 23 | |
| 15 | 2023 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2020 | 20 | |
| 18 | 2018 | 20 | |
| 19 | 2022 | 18 | |
| 20 | 2022 | 15 |
About Chad Vanderbilt
Chad Vanderbilt is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Surgery and Molecular Biology, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Genetic factors in colorectal cancer (10 papers), AI in cancer detection (7 papers), Sarcoma Diagnosis and Treatment (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Obstetrics and Gynecology (103 citations), Cancer Research (196 citations), Oncology (250 citations), Otorhinolaryngology (37 citations) and Pulmonary and Respiratory Medicine (261 citations). Chad Vanderbilt has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Marc Ladanyi, Amir Momeni Boroujeni, John J. Arcaroli, Keith Wells, Christopher H. Lieu, Robert A. Soslow, Dara L. Aisner, David Tai, Wells A. Messersmith and Sounak Gupta. Their work appears in journals such as Modern Pathology, Journal of Molecular Diagnostics, Journal of Clinical Oncology, Human Pathology and Cancer Research.
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.