Hans Halfwerk

1.8k total citations
19 papers, 1.2k citations indexed

About

Hans Halfwerk is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Hans Halfwerk has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 11 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Hans Halfwerk's work include Breast Cancer Treatment Studies (9 papers), Cancer Genomics and Diagnostics (8 papers) and Cancer Cells and Metastasis (6 papers). Hans Halfwerk is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Cancer Genomics and Diagnostics (8 papers) and Cancer Cells and Metastasis (6 papers). Hans Halfwerk collaborates with scholars based in Netherlands, United States and United Kingdom. Hans Halfwerk's co-authors include Marc J. van de Vijver, Hugo M. Horlings, C. Dilara Savci‐Heijink, Bas Kreike, Jelle Wesseling, Jan Köster, Lodewyk F.A. Wessels, Gerrit K. Hooijer, Daoud Sie and Harry Bartelink and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Hans Halfwerk

18 papers receiving 1.2k citations

Peers

Hans Halfwerk

ONCOL

PFM

PRM

Octavio Burgués Spain

Atsushi Shimomura Japan

Michelle A. Gadd United States

Atocha Romero Spain

Yasuto Naoi Japan

Susanna L. Cooke United Kingdom

Rosalía Caballero Spain

Erika Mehl Canada

Hans Kristian Moen Vollan Norway

Yi-Zhou Jiang China

Octavio Burgués Spain

Hans Halfwerk

673 ×0.9

586 ×1.1

522 ×1.0

ONCOL

135 ×0.6

PFM

222 ×1.4

PRM

Citations per year, relative to Hans Halfwerk Hans Halfwerk (= 1×) peers Octavio Burgués

Countries citing papers authored by Hans Halfwerk

Since Specialization

Citations

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

Fields of papers citing papers by Hans Halfwerk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Halfwerk

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

All Works

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19 of 19 papers shown

Vallés‐Martí, Andrea, Alex A. Henneman, Sander R. Piersma, et al.. (2024). Kinase activities in pancreatic ductal adenocarcinoma with prognostic and therapeutic avenues. Molecular Oncology. 18(8). 2020–2041.

Halfwerk, Hans, et al.. (2023). The impact of impaired tissue fixation in resected non-small-cell lung cancer on protein deterioration and DNA degradation. Lung Cancer. 178. 108–115. 2 indexed citations

Velzen, M.J.M. van, Aafke Creemers, Tom van den Ende, et al.. (2022). Circulating tumor DNA predicts outcome in metastatic gastroesophageal cancer. Gastric Cancer. 25(5). 906–915. 17 indexed citations

Savci‐Heijink, C. Dilara, Hans Halfwerk, Gerrit K. Hooijer, et al.. (2019). Epithelial-to-mesenchymal transition status of primary breast carcinomas and its correlation with metastatic behavior. Breast Cancer Research and Treatment. 174(3). 649–659. 32 indexed citations

Savci‐Heijink, C. Dilara, Hans Halfwerk, Jan Köster, Hugo M. Horlings, & Marc J. van de Vijver. (2019). A specific gene expression signature for visceral organ metastasis in breast cancer. BMC Cancer. 19(1). 333–333. 45 indexed citations

Savci‐Heijink, C. Dilara, Hans Halfwerk, Jan Köster, & Marc J. van de Vijver. (2017). Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer. BMC Cancer. 17(1). 755–755. 9 indexed citations

Savci‐Heijink, C. Dilara, Hans Halfwerk, Jan Köster, & Marc J. van de Vijver. (2016). A novel gene expression signature for bone metastasis in breast carcinomas. Breast Cancer Research and Treatment. 156(2). 249–259. 74 indexed citations

Savci‐Heijink, C. Dilara, Hans Halfwerk, Gerrit K. Hooijer, et al.. (2015). Retrospective analysis of metastatic behaviour of breast cancer subtypes. Breast Cancer Research and Treatment. 150(3). 547–557. 129 indexed citations

Servant, Nicolas, Marc A. Bollet, Hans Halfwerk, et al.. (2012). Search for a Gene Expression Signature of Breast Cancer Local Recurrence in Young Women. Clinical Cancer Research. 18(6). 1704–1715. 55 indexed citations

10.

Farazi, Thalia A., Hugo M. Horlings, Jelle J. ten Hoeve, et al.. (2011). MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing. Cancer Research. 71(13). 4443–4453. 275 indexed citations

11.

Horlings, Hugo M., Carmen Lai, Dimitry S.A. Nuyten, et al.. (2010). Integration of DNA Copy Number Alterations and Prognostic Gene Expression Signatures in Breast Cancer Patients. Clinical Cancer Research. 16(2). 651–663. 48 indexed citations

12.

Ronde, Jorma J. de, Juliane Hannemann, Hans Halfwerk, et al.. (2009). Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Research and Treatment. 119(1). 119–126. 132 indexed citations

13.

Kreike, Bas, Hans Halfwerk, Nicola J. Armstrong, et al.. (2009). Local Recurrence after Breast-Conserving Therapy in Relation to Gene Expression Patterns in a Large Series of Patients. Clinical Cancer Research. 15(12). 4181–4190. 68 indexed citations

14.

Weigelt, Britta, Felipe C. Geyer, Hugo M. Horlings, et al.. (2009). Mucinous and neuroendocrine breast carcinomas are transcriptionally distinct from invasive ductal carcinomas of no special type. Modern Pathology. 22(11). 1401–1414. 85 indexed citations

15.

Bueno-de-Mesquita, Jolien M., Sabine C. Linn, Richard Keijzer, et al.. (2008). Validation of 70-gene prognosis signature in node-negative breast cancer. Breast Cancer Research and Treatment. 117(3). 483–495. 131 indexed citations

16.

Puijenbroek, Marjo van, Maartje Nielsen, Carli M.J. Tops, et al.. (2008). Identification of Patients with (Atypical) MUTYH-Associated Polyposis by KRAS2 c.34G > T Prescreening Followed by MUTYH Hotspot Analysis in Formalin-Fixed Paraffin-Embedded Tissue. Clinical Cancer Research. 14(1). 139–142. 42 indexed citations

17.

Hambach, Lothar, Kam‐Wing Ling, Jos Pool, et al.. (2008). Hypomethylating drugs convert HA-1–negative solid tumors into targets for stem cell–based immunotherapy. Blood. 113(12). 2715–2722. 38 indexed citations

18.

Kreike, Bas, Hans Halfwerk, Petra Kristel, et al.. (2006). Gene Expression Profiles of Primary Breast Carcinomas from Patients at High Risk for Local Recurrence after Breast-Conserving Therapy. Clinical Cancer Research. 12(19). 5705–5712. 44 indexed citations

19.

Hannemann, Juliane, Hans Halfwerk, Arno Velds, et al.. (2006). Prediction of response to neoadjuvant chemotherapy in breast cancer. Journal of Clinical Oncology. 24(18_suppl). 20005–20005. 2 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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