Richard Berendt
- Oncology
- Artificial Intelligence top 10%
- Molecular Biology
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mrinal MandalNaresh JhaHongming XuCheng LuLouise PasseriniP. Terry PhangBruce W. MielkePenny J. Barnes
- Topics
- AI in cancer detection (13 papers)Cutaneous Melanoma Detection and Management (8 papers)Cell Image Analysis Techniques (6 papers)
- Cited by
- BiophysicsOncologyCancer Research
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Richard Berendt
27 papers receiving 531 citations
Peers
Comparison fields: 5 of 87
- Oncology 219
- Artificial Intelligence 162
- Molecular Biology 131
- Cancer Research 117
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by Richard Berendt
This map shows the geographic impact of Richard Berendt'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 Richard Berendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Berendt more than expected).
Fields of papers citing papers by Richard Berendt
This network shows the impact of papers produced by Richard Berendt. 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 Richard Berendt. The network helps show where Richard Berendt may publish in the future.
Co-authorship network of co-authors of Richard Berendt
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Berendt. A scholar is included among the top collaborators of Richard Berendt 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 Richard Berendt. Richard Berendt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 40 | |
| 7 | 13 | |
| 8 | 51 | |
| 9 | 66 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 54 | |
| 13 | 20 | |
| 14 | 55 | |
| 15 | Best practice recommendations for standardization of immunohistochemistry tests. | 2 |
| 16 | 8 | |
| 17 | A young woman with distant recurrent metastatic primary vaginal carcinoma salvaged with radical radiotherapy. | 1 |
| 18 | 50 | |
| 19 | Characterization of nucleoside and nucleobase transporters in a human mesothelial cell line: evaluation of nucleoside and nucleobase antimetabolites for application in malignant mesothelioma | 2 |
| 20 | 61 |
About Richard Berendt
Richard Berendt is a scholar working on Biophysics, Oncology and Artificial Intelligence, having authored 27 papers that have together received 548 indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Cutaneous Melanoma Detection and Management (8 papers) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Biophysics (66 citations), Oncology (219 citations) and Cancer Research (117 citations). Richard Berendt has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Mrinal Mandal, Naresh Jha, Hongming Xu, Cheng Lu, Louise Passerini, P. Terry Phang, Bruce W. Mielke, Penny J. Barnes, Gia‐Khanh Nguyen and Anthony M. Magliocco. Their work appears in journals such as Cancer Research, Critical Care Medicine and IEEE Transactions on Biomedical Engineering.
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.