Hester E. Haak

468 citations
7 papers · 84 · h-index 6

Impact in

    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis

Papers in

    • Colorectal Cancer Surgical Treatments 7
    • Colorectal Cancer Screening and Detection 5
    • Radiomics and Machine Learning in Medical Imaging 3
    • MRI in cancer diagnosis 2
    • Radiation Dose and Imaging 1

Hester E. Haak

6 papers receiving 84 citations

Peers

Hester E. Haak
Comparison fields: 5 of 20
  • Oncology 73
  • Radiology, Nuclear Medicine and Imaging 40
  • Surgery 36
  • Health Informatics 1
  • Pulmonary and Respiratory Medicine 18
Replace Dana M. Omer with:
Dana M. Omer United States
Terry P Phang Canada
Sharon Shuxian Poh Singapore
Frances Allison Canada
H.W. Hoffmanns Germany
Rachel Baldwin‐Cleland United Kingdom
Joel Berends United States
Nevene Andraws United States
Petra A. Custers Netherlands
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Citations per field
00.5×10×
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Citations per year

Countries citing papers authored by Hester E. Haak

Since Specialization
Citations

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

Fields of papers citing papers by Hester E. Haak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hester E. Haak. 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 Hester E. Haak. The network helps show where Hester E. Haak may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202028
2 202117
3 202112
4 202110
5 20219
6 20208
7 20200

About Hester E. Haak

Hester E. Haak is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 7 papers that have together received 84 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (7 papers), Colorectal Cancer Screening and Detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Anorectal Disease Treatments and Outcomes (1 paper), Colorectal and Anal Carcinomas (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Oncology (73 citations), Radiology, Nuclear Medicine and Imaging (40 citations), Surgery (36 citations), Health Informatics (1 citation) and Pulmonary and Respiratory Medicine (18 citations). Hester E. Haak has collaborated with scholars based in Netherlands, Italy and Taiwan. Frequent co-authors include Regina G. H. Beets‐Tan, Monique Maas, Geerard L. Beets, Jarno Melenhorst, Doenja M. J. Lambregts, Andrea Delli Pizzi, Christianne J. Buskens, Stefano Trebeschi, Willem A. Bemelman and Anthony W. H. van de Ven. Their work appears in journals such as Colorectal Disease, European Journal of Surgical Oncology, Frontiers in Oncology, Annals of Surgical Oncology and Surgical Endoscopy.

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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