Caroline Hego

653 total citations · 1 hit paper
8 papers, 394 citations indexed

About

Caroline Hego is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Caroline Hego has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Caroline Hego's work include Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (3 papers) and Advanced Breast Cancer Therapies (2 papers). Caroline Hego is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (3 papers) and Advanced Breast Cancer Therapies (2 papers). Caroline Hego collaborates with scholars based in France, Belgium and Denmark. Caroline Hego's co-authors include François‐Clément Bidard, Jean‐Yves Pierga, Anne Vincent‐Salomon, Marc‐Henri Stern, Aurore Rampanou, Charlotte Proudhon, Paul Cottu, Marie‐Paule Sablin, Olivier Lantz and Maud Milder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Cell and Cancer Research.

In The Last Decade

Caroline Hego

8 papers receiving 390 citations

Hit Papers

Neutrophil extracellular traps formed during chemotherapy... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Hego France 7 178 156 131 112 77 8 394
Bao‐Ye Sun China 12 136 0.8× 104 0.7× 169 1.3× 77 0.7× 47 0.6× 22 370
Xiaochuan Dong China 10 93 0.5× 139 0.9× 208 1.6× 70 0.6× 58 0.8× 16 422
Sze Keong Tey Hong Kong 12 217 1.2× 75 0.5× 294 2.2× 120 1.1× 67 0.9× 19 447
Mara Persano Italy 6 84 0.5× 159 1.0× 126 1.0× 46 0.4× 57 0.7× 31 274
Luai Zarour United States 6 85 0.5× 153 1.0× 128 1.0× 72 0.6× 58 0.8× 9 353
Jittiporn Chaisaingmongkol Thailand 10 134 0.8× 138 0.9× 227 1.7× 134 1.2× 52 0.7× 13 419
Maria Saigí Spain 10 104 0.6× 172 1.1× 203 1.5× 66 0.6× 142 1.8× 24 380
Shenglan Huang China 11 95 0.5× 69 0.4× 150 1.1× 48 0.4× 66 0.9× 23 295
Zhiying Zheng China 8 176 1.0× 143 0.9× 235 1.8× 146 1.3× 164 2.1× 15 439

Countries citing papers authored by Caroline Hego

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Hego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Hego

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

All Works

8 of 8 papers shown
1.
Vasseur, Antoine, Luc Cabel, Caroline Hego, et al.. (2024). Fulvestrant and everolimus efficacy after CDK4/6 inhibitor: a prospective study with circulating tumor DNA analysis. Oncogene. 43(16). 1214–1222. 6 indexed citations
2.
Bourget, Isabelle, Pascal Lopez, Julien Cherfils‐Vicini, et al.. (2023). Neutrophil extracellular traps formed during chemotherapy confer treatment resistance via TGF-β activation. Cancer Cell. 41(4). 757–775.e10. 148 indexed citations breakdown →
3.
Vasseur, Antoine, Caroline Hego, Florence Lerebours, et al.. (2023). Abstract P5-02-19: ctDNA as dynamic marker of response to fulvestrant and everolimus in CDK4/6 inhibitor-pretreated ER+ HER2- metastatic breast cancer patients: a prospective study. Cancer Research. 83(5_Supplement). P5–2. 1 indexed citations
4.
Stern, Marc‐Henri, Nicolas Kiavué, Luc Cabel, et al.. (2022). Microsatellite instability detection in breast cancer using drop-off droplet digital PCR. Oncogene. 41(49). 5289–5297. 12 indexed citations
5.
Tkach, Mercedes, Caroline Hego, Marc Michel, et al.. (2022). Circulating extracellular vesicles provide valuable protein, but not DNA, biomarkers in metastatic breast cancer. SHILAP Revista de lepidopterología. 1(7). e51–e51. 6 indexed citations
6.
Riva, Francesca, François‐Clément Bidard, Alexandre Houy, et al.. (2017). Patient-Specific Circulating Tumor DNA Detection during Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Clinical Chemistry. 63(3). 691–699. 158 indexed citations
7.
Pierga, Jean‐Yves, Francesca Riva, Alexandre Houy, et al.. (2016). Patient-specific circulating tumor DNA detection during neoadjuvant chemotherapy in triple negative breast cancer. Annals of Oncology. 27. vi79–vi79. 7 indexed citations
8.
Weiss, Emmanuel, Pierre‐Emmanuel Rautou, Magali Fasseu, et al.. (2013). Gene- and exon-expression profiling reveals an extensive LPS-induced response in immune cells in patients with cirrhosis. Journal of Hepatology. 58(5). 936–948. 56 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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