Caroline Lohrisch

9.4k total citations
80 papers, 2.1k citations indexed

About

Caroline Lohrisch is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Caroline Lohrisch has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oncology, 45 papers in Cancer Research and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Caroline Lohrisch's work include Breast Cancer Treatment Studies (43 papers), HER2/EGFR in Cancer Research (23 papers) and Cancer Treatment and Pharmacology (21 papers). Caroline Lohrisch is often cited by papers focused on Breast Cancer Treatment Studies (43 papers), HER2/EGFR in Cancer Research (23 papers) and Cancer Treatment and Pharmacology (21 papers). Caroline Lohrisch collaborates with scholars based in Canada, Belgium and United States. Caroline Lohrisch's co-authors include Martine Piccart, Caroline Speers, Ivo A. Olivotto, Karen A. Gelmon, Angelo Di Leo, Lovedeep Gondara, Luc Duchateau, Laura Biganzoli, Jeff Barnett and Tanja Čufer and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Caroline Lohrisch

77 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Lohrisch Canada 23 1.3k 934 410 408 296 80 2.1k
Marc Thill Germany 22 1.1k 0.8× 889 1.0× 247 0.6× 507 1.2× 253 0.9× 163 2.3k
Foluso O. Ademuyiwa United States 28 1.3k 0.9× 818 0.9× 503 1.2× 490 1.2× 468 1.6× 91 2.2k
Edda Simoncini Italy 26 1.7k 1.3× 1.1k 1.1× 360 0.9× 753 1.8× 440 1.5× 99 2.5k
Jonathan D. Marotti United States 21 1.3k 1.0× 1.1k 1.2× 570 1.4× 510 1.3× 621 2.1× 84 2.5k
Yasuo Hozumi Japan 23 964 0.7× 704 0.8× 549 1.3× 522 1.3× 328 1.1× 84 1.9k
Javaid Iqbal Canada 15 1.1k 0.8× 782 0.8× 430 1.0× 206 0.5× 286 1.0× 23 1.8k
Giuseppe D’Aiuto Italy 28 1.4k 1.0× 1.2k 1.3× 533 1.3× 311 0.8× 697 2.4× 90 2.8k
Rossella Lauria Italy 18 1.2k 0.9× 683 0.7× 352 0.9× 279 0.7× 416 1.4× 61 1.9k
Irma Fredriksson Sweden 22 946 0.7× 805 0.9× 231 0.6× 221 0.5× 281 0.9× 64 1.5k
A. De Matteis Italy 21 1.2k 0.9× 809 0.9× 533 1.3× 356 0.9× 317 1.1× 58 2.1k

Countries citing papers authored by Caroline Lohrisch

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Lohrisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Lohrisch

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Lohrisch. A scholar is included among the top collaborators of Caroline Lohrisch 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 Caroline Lohrisch. Caroline Lohrisch 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.
Nichol, Alan, Lovedeep Gondara, Richard Musoke, et al.. (2025). A Matched Case-Control Study of the Relationship Between Radiation Dose to the Internal Mammary Lymph Nodes and Clinical Outcomes in Patients With and Without Internal Mammary Lymph Node Relapses. International Journal of Radiation Oncology*Biology*Physics. 123(1). 150–160.
2.
Wu, Angela, H Anderson, Curtis Hughesman, et al.. (2023). Implementation of pharmacogenetic testing in oncology: DPYD-guided dosing to prevent fluoropyrimidine toxicity in British Columbia. Frontiers in Pharmacology. 14. 1257745–1257745. 2 indexed citations
3.
Dosani, Maryam, Sarah Hamilton, Lovedeep Gondara, et al.. (2022). pN0(i+) and pN1mi Breast Cancer: Treatment and Outcomes in Comparison With pN0 and pN1a in the Modern Era. International Journal of Radiation Oncology*Biology*Physics. 113(4). 805–815. 1 indexed citations
4.
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Nichol, Alan, Lovedeep Gondara, Caroline Speers, et al.. (2021). Breast Tangent Beam Energy, Surgical Bed-to-Skin Distance and Local Recurrence After Breast-Conserving Treatment. International Journal of Radiation Oncology*Biology*Physics. 112(3). 671–680. 1 indexed citations
6.
Sit, Daegan, Nafisha Lalani, Elisa Chan, et al.. (2021). Association Between Regional Nodal Irradiation and Breast Cancer Recurrence-Free Interval for Patients With Low-Risk, Node-Positive Breast Cancer. International Journal of Radiation Oncology*Biology*Physics. 112(4). 861–869. 2 indexed citations
7.
LeVasseur, Nathalie, David Fenton, Simon W. Baxter, et al.. (2021). Impact of the 21-Gene Recurrence Score Assay on the Treatment of Estrogen Receptor-Positive, HER2-Negative, Breast Cancer Patients With 1-3 Positive Nodes: A Prospective Clinical Utility Study. Clinical Breast Cancer. 22(1). e74–e79. 9 indexed citations
8.
LeVasseur, Nathalie, et al.. (2020). Impact of Recurrence Score on Type and Duration of Chemotherapy in Breast Cancer. Current Oncology. 27(2). 86–92. 1 indexed citations
9.
Truong, Pauline T., et al.. (2019). The Effect of Bolus on Local Control for Patients Treated with Mastectomy and Adjuvant Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 105(1). S9–S9. 1 indexed citations
10.
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12.
Speers, Caroline, Scott Tyldesley, Stephen Chia, et al.. (2015). Risk of Recurrence or Contralateral Breast Cancer More than 5 Years After Diagnosis of Hormone Receptor-Positive Early-Stage Breast Cancer. Clinical Breast Cancer. 16(4). 284–290. 4 indexed citations
13.
Lohrisch, Caroline, et al.. (2006). Impact on Survival of Time From Definitive Surgery to Initiation of Adjuvant Chemotherapy for Early-Stage Breast Cancer. Journal of Clinical Oncology. 24(30). 4888–4894. 267 indexed citations
14.
Paridaens, Robert, Luc Dirix, Caroline Lohrisch, et al.. (2003). Mature results of a randomized phase II multicenter study of exemestane versus tamoxifen as first-line hormone therapy for postmenopausal women with metastatic breast cancer. Annals of Oncology. 14(9). 1391–1398. 172 indexed citations
15.
Lohrisch, Caroline, et al.. (2003). Node positive breast cancer. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 107–146. 18 indexed citations
16.
Piccart, Martine, Caroline Lohrisch, Angelo Di Leo, & Denis Larsimont. (2001). The Predictive Value of HER2 in Breast Cancer. Oncology. 61(Suppl. 2). 73–82. 112 indexed citations
17.
Lohrisch, Caroline & Martine Piccart. (2001). HER2/neu as a Predictive Factor in Breast Cancer. Clinical Breast Cancer. 2(2). 129–135. 48 indexed citations
18.
Lohrisch, Caroline & Martine Piccart. (2001). Standard medical treatment for early breast cancer. European Journal of Cancer. 37. 45–58. 4 indexed citations
19.
Lohrisch, Caroline, Angelo Di Leo, & Martine Piccart. (2001). Optimal adjuvant cytotoxic therapy for breast cancer. The Breast. 10. 106–113. 1 indexed citations
20.
Lohrisch, Caroline & Martine Piccart. (2001). An overview of HER2. Seminars in Oncology. 28(6 Suppl 18). 3–11. 9 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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