Cornelis J.A. Punt

51.1k total citations · 10 hit papers
392 papers, 24.3k citations indexed

About

Cornelis J.A. Punt is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Cornelis J.A. Punt has authored 392 papers receiving a total of 24.3k indexed citations (citations by other indexed papers that have themselves been cited), including 299 papers in Oncology, 89 papers in Pathology and Forensic Medicine and 89 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Cornelis J.A. Punt's work include Colorectal Cancer Treatments and Studies (183 papers), Genetic factors in colorectal cancer (88 papers) and Hepatocellular Carcinoma Treatment and Prognosis (61 papers). Cornelis J.A. Punt is often cited by papers focused on Colorectal Cancer Treatments and Studies (183 papers), Genetic factors in colorectal cancer (88 papers) and Hepatocellular Carcinoma Treatment and Prognosis (61 papers). Cornelis J.A. Punt collaborates with scholars based in Netherlands, United States and Germany. Cornelis J.A. Punt's co-authors include Miriam Koopman, I. Jolanda M. de Vries, Carl G. Figdor, W. Joost Lesterhuis, Gosse J. Adema, J. Han van Krieken, Irıs D. Nagtegaal, Jolien Tol, Linda Mol and Leon W.M.M. Terstappen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Cornelis J.A. Punt

386 papers receiving 23.8k citations

Hit Papers

Relationship of Circulati... 1998 2026 2007 2016 2008 2009 1998 2010 2005 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cornelis J.A. Punt Netherlands 73 16.6k 5.6k 5.6k 4.5k 3.9k 392 24.3k
Kelly M. McMasters United States 69 15.0k 0.9× 3.4k 0.6× 6.3k 1.1× 2.1k 0.5× 4.5k 1.2× 434 23.5k
Michael A. Morse United States 66 10.1k 0.6× 6.0k 1.1× 5.1k 0.9× 2.7k 0.6× 2.4k 0.6× 383 18.1k
Julien Taı̈eb France 67 10.6k 0.6× 2.8k 0.5× 3.4k 0.6× 4.4k 1.0× 3.3k 0.8× 663 19.8k
Pierre Laurent‐Puig France 86 17.0k 1.0× 4.2k 0.7× 10.9k 1.9× 7.1k 1.6× 8.5k 2.2× 540 34.6k
Heinz‐Josef Lenz United States 83 24.6k 1.5× 3.3k 0.6× 9.7k 1.7× 9.2k 2.0× 6.4k 1.7× 860 35.9k
J. Han van Krieken Netherlands 73 12.9k 0.8× 2.9k 0.5× 4.3k 0.8× 5.2k 1.1× 2.8k 0.7× 380 23.6k
Daniel G. Coit United States 83 17.9k 1.1× 3.3k 0.6× 6.1k 1.1× 7.8k 1.7× 2.1k 0.6× 326 27.9k
Alfred E. Chang United States 67 11.3k 0.7× 9.7k 1.7× 4.2k 0.7× 3.4k 0.7× 2.0k 0.5× 295 20.9k
Scott Kopetz United States 84 20.5k 1.2× 2.1k 0.4× 7.3k 1.3× 6.8k 1.5× 7.6k 2.0× 676 29.0k
Armando Santoro Italy 87 17.8k 1.1× 2.5k 0.4× 5.6k 1.0× 13.8k 3.0× 3.8k 1.0× 924 34.7k

Countries citing papers authored by Cornelis J.A. Punt

Since Specialization
Citations

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

Fields of papers citing papers by Cornelis J.A. Punt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornelis J.A. Punt. 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 Cornelis J.A. Punt. The network helps show where Cornelis J.A. Punt may publish in the future.

Co-authorship network of co-authors of Cornelis J.A. Punt

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelis J.A. Punt. A scholar is included among the top collaborators of Cornelis J.A. Punt 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 Cornelis J.A. Punt. Cornelis J.A. Punt 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.
Braak, Robert R.J. Coebergh van den, Sanne ten Hoorn, Anieta M. Sieuwerts, et al.. (2020). Interconnectivity between molecular subtypes and tumor stage in colorectal cancer. BMC Cancer. 20(1). 850–850. 21 indexed citations
2.
Medlock, Stephanie, et al.. (2018). The first steps in the evaluation of a "black-box" decision support tool: a protocol and feasibility study for the evaluation of Watson for Oncology. Journal of Clinical and Translational Research. 3(Suppl 3). 411–423. 9 indexed citations
3.
Engelhardt, Ellen G., Dóra Révész, Cornelis J.A. Punt, et al.. (2017). Clinical Usefulness of Tools to Support Decision-making for Palliative Treatment of Metastatic Colorectal Cancer: A Systematic Review. Clinical Colorectal Cancer. 17(1). e1–e12. 17 indexed citations
4.
Trinh, Anne, Kari Trumpi, Felipe de Sousa e Melo, et al.. (2016). Practical and Robust Identification of Molecular Subtypes in Colorectal Cancer by Immunohistochemistry. Clinical Cancer Research. 23(2). 387–398. 132 indexed citations
5.
Bosch, Linda J.W., Yanxin Luo, Victoria Valinluck Lao, et al.. (2016). WRN Promoter CpG Island Hypermethylation Does Not Predict More Favorable Outcomes for Patients with Metastatic Colorectal Cancer Treated with Irinotecan-Based Therapy. Clinical Cancer Research. 22(18). 4612–4622. 6 indexed citations
6.
Vasaturo, Angela, Altuna Halilović, Kalijn F. Bol, et al.. (2016). T-cell Landscape in a Primary Melanoma Predicts the Survival of Patients with Metastatic Disease after Their Treatment with Dendritic Cell Vaccines. Cancer Research. 76(12). 3496–3506. 28 indexed citations
7.
Venderbosch, Sabine, Irıs D. Nagtegaal, Tim Maughan, et al.. (2014). Mismatch Repair Status and BRAF Mutation Status in Metastatic Colorectal Cancer Patients: A Pooled Analysis of the CAIRO, CAIRO2, COIN, and FOCUS Studies. Clinical Cancer Research. 20(20). 5322–5330. 534 indexed citations breakdown →
8.
Tel, Jurjen, Erik H.J.G. Aarntzen, Tetsuro Baba, et al.. (2013). Natural Human Plasmacytoid Dendritic Cells Induce Antigen-Specific T-Cell Responses in Melanoma Patients. Cancer Research. 73(3). 1063–1075. 289 indexed citations
9.
Sloothaak, D, Debby Geijsen, Nicoline J. van Leersum, et al.. (2013). Optimal time interval between neoadjuvant chemoradiotherapy and surgery for rectal cancer. British journal of surgery. 100(7). 933–939. 192 indexed citations
10.
Eggermont, Alexander M.M., Stefan Suciu, Alessandro Testori, et al.. (2012). Long-Term Results of the Randomized Phase III Trial EORTC 18991 of Adjuvant Therapy With Pegylated Interferon Alfa-2b Versus Observation in Resected Stage III Melanoma. Journal of Clinical Oncology. 30(31). 3810–3818. 190 indexed citations
11.
Mekenkamp, Leonie J., Josien Haan, Miriam Koopman, et al.. (2012). Chromosome 20p11 gains are associated with liver-specific metastasis in patients with colorectal cancer. Gut. 62(1). 94–101. 16 indexed citations
12.
Aarntzen, Erik H.J.G., I. Jolanda M. de Vries, W. Joost Lesterhuis, et al.. (2012). Targeting CD4+ T-Helper Cells Improves the Induction of Antitumor Responses in Dendritic Cell–Based Vaccination. Cancer Research. 73(1). 19–29. 131 indexed citations
13.
Aarntzen, Erik H.J.G., Kalijn F. Bol, Gerty Schreibelt, et al.. (2012). Skin-Test Infiltrating Lymphocytes Early Predict Clinical Outcome of Dendritic Cell–Based Vaccination in Metastatic Melanoma. Cancer Research. 72(23). 6102–6110. 42 indexed citations
14.
Aarntzen, Erik H.J.G., Gerty Schreibelt, Kalijn F. Bol, et al.. (2012). Vaccination with mRNA-Electroporated Dendritic Cells Induces Robust Tumor Antigen-Specific CD4+ and CD8+ T Cells Responses in Stage III and IV Melanoma Patients. Clinical Cancer Research. 18(19). 5460–5470. 80 indexed citations
15.
Lesterhuis, W. Joost, I. Jolanda M. de Vries, Gerty Schreibelt, et al.. (2011). Route of Administration Modulates the Induction of Dendritic Cell Vaccine–Induced Antigen-Specific T Cells in Advanced Melanoma Patients. Clinical Cancer Research. 17(17). 5725–5735. 138 indexed citations
16.
Mulder, Sasja F., Joannes F.M. Jacobs, Joep M.D. Galama, et al.. (2011). Cancer Patients Treated with Sunitinib or Sorafenib Have Sufficient Antibody and Cellular Immune Responses to Warrant Influenza Vaccination. Clinical Cancer Research. 17(13). 4541–4549. 27 indexed citations
17.
Deenen, Maarten J., Jolien Tol, Artur M Burylo, et al.. (2011). Relationship between Single Nucleotide Polymorphisms and Haplotypes in DPYD and Toxicity and Efficacy of Capecitabine in Advanced Colorectal Cancer. Clinical Cancer Research. 17(10). 3455–3468. 150 indexed citations
18.
Peeters, Marc, Timothy Price, Andrés Cervantes, et al.. (2010). Randomized Phase III Study of Panitumumab With Fluorouracil, Leucovorin, and Irinotecan (FOLFIRI) Compared With FOLFIRI Alone As Second-Line Treatment in Patients With Metastatic Colorectal Cancer. Journal of Clinical Oncology. 28(31). 4706–4713. 755 indexed citations breakdown →
19.
Vries, I. Jolanda M. de, Chiara Castelli, Joannes F.M. Jacobs, et al.. (2010). Frequency of Circulating Tregs with Demethylated FOXP3 Intron 1 in Melanoma Patients Receiving Tumor Vaccines and Potentially Treg-Depleting Agents. Clinical Cancer Research. 17(4). 841–848. 64 indexed citations
20.
Cohen, Steven J., Cornelis J.A. Punt, Nicholas Iannotti, et al.. (2008). Relationship of Circulating Tumor Cells to Tumor Response, Progression-Free Survival, and Overall Survival in Patients With Metastatic Colorectal Cancer. Journal of Clinical Oncology. 26(19). 3213–3221. 1473 indexed citations breakdown →

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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