Peter Bult

120 papers receiving 5.5k citations

Peter Bult's Hit Papers

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset 2018 · 255 citations
2550+3+6Years since publication250500750

Peers

Peter Bult
Comparison fields: 5 of 149
  • Cancer Research 1.7k
  • Health Informatics 115
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Pathology and Forensic Medicine 935
  • Oncology 958
Replace Navneet Narula with:
Navneet Narula United States
Niels Halama Germany
Dirk Jäger Germany
Shumpei Ishikawa Japan
Hannah Gilmore United States
Moritz Gerstung United Kingdom
Mikael Lundin Finland
Kurt A. Schalper United States
Ryuji Hamamoto Japan
Klaus Kayser Germany
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Citations per field
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Citations per year

Countries citing papers authored by Peter Bult

Since Specialization
Citations

This map shows the geographic impact of Peter Bult'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 Peter Bult with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bult more than expected).

Fields of papers citing papers by Peter Bult

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Bult. 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 Peter Bult. The network helps show where Peter Bult may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Bult, 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 Peter Bult Line = papers co-authored together Peter Bult links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Hit paper breakdown →
2016823
2 2009392
3
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
Hit paper breakdown →
2018255
4 2020255
5 2001245
6
Three dimensional imaging of mammary ductal carcinoma in situ: clinical implications.
1994208
7 2010186
8 2012181
9 2009166
10 2017150
11 2002106
12 2019100
13 200499
14 200690
15 200889
16 201984
17 201184
18 201779
19 199772
20 200971

About Peter Bult

Peter Bult is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 123 papers that have together received 5.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (46 papers), Breast Lesions and Carcinomas (18 papers), AI in cancer detection (13 papers), MRI in cancer diagnosis (9 papers), BRCA gene mutations in cancer (8 papers), Breast Implant and Reconstruction (7 papers), Cancer Cells and Metastasis (6 papers) and Global Cancer Incidence and Screening (6 papers). The work is most often cited by research in Cancer Research (1.7k citations), Health Informatics (115 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Pathology and Forensic Medicine (935 citations) and Oncology (958 citations). Peter Bult has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jeroen van der Laak, Vivianne C. G. Tjan‐Heijnen, Geert Litjens, C. Boetes, Theo Wobbes, Meyke Hermsen, Bram van Ginneken, Maaike de Boer, Irıs D. Nagtegaal and Ritse M. Mann. Their work appears in journals such as Breast Cancer Research and Treatment, Cellular Oncology, European Journal of Surgical Oncology, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

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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