Richard Berendt

820 citations
27 papers · 548 indexed · h-index 13

Richard Berendt

27 papers receiving 531 citations

Peers

Richard Berendt
Comparison fields: 5 of 87
  • Biophysics 66
  • Oncology 219
  • Cancer Research 117
  • Emergency Medicine 51
  • Artificial Intelligence 162
Replace Elaine Sobral da Costa with:
Elaine Sobral da Costa Brazil
William C. Allsbrook United States
Teresa Salvadó-Usach Spain
J Holmquist Sweden
Maria Rosaria Giovagnoli Italy
Ole-Johan Skrede United Kingdom
H Helin Finland
Andreas Kleppe Norway
Eva Krieghoff‐Henning Germany
John Maddison United Kingdom
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Citations per field
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Elaine Sobral da Costa · 1×
Citations per year

Countries citing papers authored by Richard Berendt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Richard Berendt Line = papers co-authored together Richard Berendt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202116
2 20218
3 20203
4 20201
5 201924
6 201840
7 201713
8 201651
9 201566
10 201411
11 201210
12 201254
13 201120
14 201055
15
Best practice recommendations for standardization of immunohistochemistry tests.
20092
16 20088
17
A young woman with distant recurrent metastatic primary vaginal carcinoma salvaged with radical radiotherapy.
20081
18 200750
19
Characterization of nucleoside and nucleobase transporters in a human mesothelial cell line: evaluation of nucleoside and nucleobase antimetabolites for application in malignant mesothelioma
20062
20 198861

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.

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