D. G. Scarpelli
- Molecular Biology
- Oncology top 10%
- Surgery top 10%
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- A. G. E. PearseR. HessKathy A. MangoldV. SubbaraoTariq M. MuradMahendra S. RaoJoan S. ChmielM. Sambasiva Rao
- Topics
- Pancreatic and Hepatic Oncology Research (5 papers)Cancer Genomics and Diagnostics (5 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
D. G. Scarpelli
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 540
- Oncology 395
- Surgery 289
- Cancer Research 267
- Pathology and Forensic Medicine 193
Countries citing papers authored by D. G. Scarpelli
This map shows the geographic impact of D. G. Scarpelli'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 D. G. Scarpelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. G. Scarpelli more than expected).
Fields of papers citing papers by D. G. Scarpelli
This network shows the impact of papers produced by D. G. Scarpelli. 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 D. G. Scarpelli. The network helps show where D. G. Scarpelli may publish in the future.
Co-authorship network of co-authors of D. G. Scarpelli
This figure shows the co-authorship network connecting the top 25 collaborators of D. G. Scarpelli. A scholar is included among the top collaborators of D. G. Scarpelli 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 D. G. Scarpelli. D. G. Scarpelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Gene alterations in rodent and human tumors of the exocrine and endocrine pancreas. | 1 |
| 2 | 2 | |
| 3 | 54 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | The ultrastructure of human mammary fibroadenoma. | 28 |
| 13 | The Cytochemical Localization of Oxidative Enzymesbreakdown → | 329 |
| 14 | 26 | |
| 15 | The Cytochemical Localization of Oxidative Enzymesbreakdown → | 341 |
| 16 | 65 | |
| 17 | 17 | |
| 18 | 115 | |
| 19 | A study of mitosis in cervical epithelium during experimental inflammation and carcinogenesis. | 10 |
| 20 | Experimental carcinoma of the cervix: a comparative cytologic and histologic study. | 23 |
About D. G. Scarpelli
D. G. Scarpelli is a scholar working on Cancer Research, Clinical Biochemistry and Endocrine and Autonomic Systems, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Cancer Genomics and Diagnostics (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Cancer Research (267 citations), Oncology (395 citations) and Pathology and Forensic Medicine (193 citations). D. G. Scarpelli has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include A. G. E. Pearse, R. Hess, Kathy A. Mangold, V. Subbarao, Tariq M. Murad, Mahendra S. Rao, Joan S. Chmiel, M. Sambasiva Rao, Rao Ms and E. Von Haam. Their work appears in journals such as Nature, Science and The Journal of Cell Biology.
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.