Richard Berendt
- Biophysics top 5%
- Cell Image Analysis Techniques 6
-
- Cutaneous Melanoma Detection and Management 8
- HER2/EGFR in Cancer Research 4
-
- Breast Cancer Treatment Studies 3
- Emergency Medicine top 10%
- Poisoning and overdose treatments 2
- Artificial Intelligence top 10%
- AI in cancer detection 13
-
- Digital Imaging for Blood Diseases 5
-
- Endometrial and Cervical Cancer Treatments 2
- Co-authors
- Mrinal MandalNaresh JhaHongming XuCheng LuLouise PasseriniP. Terry PhangBruce W. MielkePenny J. Barnes
- Cited by
- BiophysicsOncologyCancer Research
- Journals
- Cancer Research (1 paper)Critical Care Medicine (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Richard Berendt
27 papers receiving 531 citations
Peers
Comparison fields: 5 of 87
- Biophysics 66
- Oncology 219
- Cancer Research 117
- Emergency Medicine 51
- Artificial Intelligence 162
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
The 25 scholars most cited alongside Richard Berendt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 16 | |
| 2 | 2021 | 8 | |
| 3 | 2020 | 3 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 24 | |
| 6 | 2018 | 40 | |
| 7 | 2017 | 13 | |
| 8 | 2016 | 51 | |
| 9 | 2015 | 66 | |
| 10 | 2014 | 11 | |
| 11 | 2012 | 10 | |
| 12 | 2012 | 54 | |
| 13 | 2011 | 20 | |
| 14 | 2010 | 55 | |
| 15 | Best practice recommendations for standardization of immunohistochemistry tests. | 2009 | 2 |
| 16 | 2008 | 8 | |
| 17 | A young woman with distant recurrent metastatic primary vaginal carcinoma salvaged with radical radiotherapy. | 2008 | 1 |
| 18 | 2007 | 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 | 2006 | 2 |
| 20 | 1988 | 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), Cell Image Analysis Techniques (6 papers), Digital Imaging for Blood Diseases (5 papers), HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (3 papers), Poisoning and overdose treatments (2 papers) and Endometrial and Cervical Cancer Treatments (2 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.