Nanda C. Krak

2.3k total citations · 1 hit paper
22 papers, 1.5k citations indexed

About

Nanda C. Krak is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Nanda C. Krak has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in Nanda C. Krak's work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Nanda C. Krak is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Nanda C. Krak collaborates with scholars based in Netherlands, United States and India. Nanda C. Krak's co-authors include Otto S. Hoekstra, Adriaan A. Lammertsma, Ronald Boellaard, Jos W. R. Twisk, C. Hoekstra, Jacobus J. M. van der Hoeven, Marco J. Bruno, Nikie J. Hoetjes, Floris H. P. van Velden and Anja Wagner and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Gut.

In The Last Decade

Nanda C. Krak

21 papers receiving 1.5k citations

Hit Papers

Effects of noise, image resolution, and ROI definition on... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers

Nanda C. Krak
R. Baum Germany
Nanda C. Krak
Citations per year, relative to Nanda C. Krak Nanda C. Krak (= 1×) peers R. Baum

Countries citing papers authored by Nanda C. Krak

Since Specialization
Citations

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

Fields of papers citing papers by Nanda C. Krak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nanda C. Krak. 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 Nanda C. Krak. The network helps show where Nanda C. Krak may publish in the future.

Co-authorship network of co-authors of Nanda C. Krak

This figure shows the co-authorship network connecting the top 25 collaborators of Nanda C. Krak. A scholar is included among the top collaborators of Nanda C. Krak 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 Nanda C. Krak. Nanda C. Krak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Man, Femke M. de, Nanda C. Krak, Katharina Biermann, et al.. (2019). Association between Paclitaxel Clearance and Tumor Response in Patients with Esophageal Cancer. Cancers. 11(2). 173–173. 1 indexed citations
2.
Buitenwerf, Edward, Tijmen Korteweg, Richard A. Feelders, et al.. (2018). Unenhanced CT imaging is highly sensitive to exclude pheochromocytoma: a multicenter study. European Journal of Endocrinology. 178(5). 431–437. 42 indexed citations
3.
Overbeek, Kasper A., et al.. (2018). Prevalence of cystic lesions and other morphological pancreatic abnormalities in type 2 diabetes mellitus patients. Pancreatology. 18(4). S47–S47. 1 indexed citations
4.
Konings, Ingrid C., Femme Harinck, Jan‐Werner Poley, et al.. (2016). Prevalence and Progression of Pancreatic Cystic Precursor Lesions Differ Between Groups at High Risk of Developing Pancreatic Cancer. Pancreas. 46(1). 28–34. 23 indexed citations
5.
Goverde, Anne, Susanne E. Korsse, Anja Wagner, et al.. (2016). Small-bowel Surveillance in Patients With Peutz-Jeghers Syndrome. Journal of Clinical Gastroenterology. 51(4). e27–e33. 17 indexed citations
6.
Braat, Henri, Marco J. Bruno, Casper H.J. van Eijck, et al.. (2015). Cytopathological Analysis of Cyst Fluid Enhances Diagnostic Accuracy of Mucinous Pancreatic Cystic Neoplasms. Medicine. 94(24). e988–e988. 7 indexed citations
7.
Taimr, Pavel, Chulja J. Pek, Nanda C. Krak, et al.. (2015). Liver Contrast-Enhanced Ultrasound Improves Detection of Liver Metastases in Patients with Pancreatic or Periampullary Cancer. Ultrasound in Medicine & Biology. 41(12). 3063–3069. 8 indexed citations
8.
Gaast, Ate van der, Manon C.W. Spaander, Caroline M. van Rij, et al.. (2014). Induction chemotherapy followed by surgery for advanced oesophageal cancer. European Journal of Surgical Oncology. 41(3). 323–332. 4 indexed citations
9.
Wenniger, Lucas J. Maillette de Buy, Geert van Leenders, Joanne Verheij, et al.. (2014). Immunoglobulin G4-related Prostatitis: A Case-control Study Focusing on Clinical and Pathologic Characteristics. Urology. 83(3). 521–527. 33 indexed citations
10.
Harinck, Femme, Ingrid C. Konings, Jan‐Werner Poley, et al.. (2014). 673 A Comparative Prospective Blinded Analysis of the Effectiveness of EUS and MRI As Screening Tools for Pancreatic Cancer. Gastroenterology. 146(5). S–118.
11.
Korsse, Susanne E., Femme Harinck, Margot G F van Lier, et al.. (2012). Pancreatic cancer risk in Peutz-Jeghers syndrome patients: a large cohort study and implications for surveillance. Journal of Medical Genetics. 50(1). 59–64. 80 indexed citations
12.
Harinck, Femme, Susanne E. Korsse, Katharina Biermann, et al.. (2012). Mo1208 Pancreatic Cancer Risk in Peutz-Jeghers Patients; Results of a Large Dutch Cohort Study and Implications for Surveillance. Gastroenterology. 142(5). S–622. 1 indexed citations
13.
Hoetjes, Nikie J., Floris H. P. van Velden, Otto S. Hoekstra, et al.. (2010). Partial volume correction strategies for quantitative FDG PET in oncology. European Journal of Nuclear Medicine and Molecular Imaging. 37(9). 1679–1687. 119 indexed citations
14.
Emmering, Jasper, Nanda C. Krak, Jacobus J. M. van der Hoeven, et al.. (2008). Preoperative [18F] FDG–PET after chemotherapy in locally advanced breast cancer: prognostic value as compared with histopathology. Annals of Oncology. 19(9). 1573–1577. 34 indexed citations
15.
Krak, Nanda C., et al.. (2008). Blood Flow and Glucose Metabolism in Stage IV Breast Cancer: Heterogeneity of Response During Chemotherapy. Molecular Imaging and Biology. 10(6). 10 indexed citations
16.
Krak, Nanda C., Adriaan A. Lammertsma, & Otto S. Hoekstra. (2004). Measuring response to chemotherapy in locally advanced breast cancer: methodological considerations. European Journal of Nuclear Medicine and Molecular Imaging. 31(0). S103–S111. 47 indexed citations
17.
Hoeven, Jacobus J. M. van der, Nanda C. Krak, Otto S. Hoekstra, et al.. (2004). 18F-2-Fluoro-2-Deoxy-d-Glucose Positron Emission Tomography in Staging of Locally Advanced Breast Cancer. Journal of Clinical Oncology. 22(7). 1253–1259. 90 indexed citations
18.
Krak, Nanda C., Ronald Boellaard, Otto S. Hoekstra, et al.. (2004). Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. European Journal of Nuclear Medicine and Molecular Imaging. 32(3). 294–301. 235 indexed citations
19.
Boellaard, Ronald, Nanda C. Krak, Otto S. Hoekstra, & Adriaan A. Lammertsma. (2004). Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study.. PubMed. 45(9). 1519–27. 549 indexed citations breakdown →
20.
Krak, Nanda C., et al.. (2003). Measuring [18F]FDG uptake in breast cancer during chemotherapy: comparison of analytical methods. European Journal of Nuclear Medicine and Molecular Imaging. 30(5). 674–681. 74 indexed citations

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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