Ines Abbate

1.1k total citations
46 papers, 844 citations indexed

About

Ines Abbate is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ines Abbate has authored 46 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Ines Abbate's work include Immunotherapy and Immune Responses (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Ines Abbate is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Ines Abbate collaborates with scholars based in Italy, United States and Malaysia. Ines Abbate's co-authors include Rosa Divella, Antonella Daniele, Raffaele De Luca, Emanuele Naglieri, Michele Quaranta, M. Correale, Eufemia Savino, Angelo Paradiso, Cosmo Damiano Gadaleta and A. Casamassima and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Hepatology and British Journal of Cancer.

In The Last Decade

Ines Abbate

46 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ines Abbate Italy 17 301 280 214 118 116 46 844
Dong Wu China 16 367 1.2× 353 1.3× 167 0.8× 97 0.8× 159 1.4× 36 924
M. Correale Italy 19 173 0.6× 278 1.0× 113 0.5× 143 1.2× 250 2.2× 67 970
Yi‐Jen Liao Taiwan 19 139 0.5× 385 1.4× 222 1.0× 100 0.8× 146 1.3× 60 911
Gonzalo Carrasco-Aviño Chile 15 185 0.6× 266 0.9× 152 0.7× 88 0.7× 238 2.1× 40 751
Min Feng China 18 240 0.8× 251 0.9× 140 0.7× 177 1.5× 138 1.2× 31 803
Haijian Wang China 17 286 1.0× 588 2.1× 206 1.0× 78 0.7× 98 0.8× 43 1.0k
Panagiotis Sarantis Greece 19 476 1.6× 503 1.8× 247 1.2× 130 1.1× 156 1.3× 75 1.1k
Hisaaki Miyoshi Japan 16 249 0.8× 407 1.5× 177 0.8× 101 0.9× 191 1.6× 40 803
Jianjun Han China 16 281 0.9× 405 1.4× 275 1.3× 53 0.4× 83 0.7× 61 936
Hui‐Jia Dong United States 12 199 0.7× 468 1.7× 177 0.8× 194 1.6× 154 1.3× 16 1.1k

Countries citing papers authored by Ines Abbate

Since Specialization
Citations

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

Fields of papers citing papers by Ines Abbate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ines Abbate

This figure shows the co-authorship network connecting the top 25 collaborators of Ines Abbate. A scholar is included among the top collaborators of Ines Abbate 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 Ines Abbate. Ines Abbate 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.
Divella, Rosa, Antonella Daniele, Antonio Mazzocca, et al.. (2017). ADIPOQ rs266729 G/C gene polymorphism and plasmatic adipocytokines connect metabolic syndrome to colorectal cancer. Journal of Cancer. 8(6). 1000–1008. 17 indexed citations
2.
Daniele, Antonella, Rosa Divella, Ines Abbate, et al.. (2017). Assessment of Nutritional and Inflammatory Status to Determine the Prevalence of Malnutrition in Patients Undergoing Surgery for Colorectal Carcinoma. Anticancer Research. 37(3). 1281–1288. 32 indexed citations
3.
Divella, Rosa, Antonella Daniele, Raffaele De Luca, et al.. (2017). Circulating Levels of VEGF and CXCL1 Are Predictive of Metastatic Organotropismin in Patients with Colorectal Cancer. Anticancer Research. 37(9). 4867–4871. 36 indexed citations
4.
Divella, Rosa, Raffaele De Luca, Ines Abbate, Emanuele Naglieri, & Antonella Daniele. (2016). Obesity and cancer: the role of adipose tissue and adipo-cytokines-induced chronic inflammation. Journal of Cancer. 7(15). 2346–2359. 247 indexed citations
5.
Divella, Rosa, Antonella Daniele, Ines Abbate, et al.. (2015). Circulating Levels of PAI-1 and SERPINE1 4G/4G Polymorphism Are Predictive of Poor Prognosis in HCC Patients Undergoing TACE. Translational Oncology. 8(4). 273–278. 25 indexed citations
6.
Divella, Rosa, Antonella Daniele, Eufemia Savino, et al.. (2015). Obesity and colorectal cancer: adiponectin and tumor necrosis factor alfa a representative link between inflammation and cancer. Annals of Oncology. 26. vi45–vi45. 1 indexed citations
7.
Divella, Rosa, Antonella Daniele, Ines Abbate, et al.. (2014). The presence of clustered circulating tumor cells (CTCs) and circulating cytokines define an aggressive phenotype in metastatic colorectal cancer. Cancer Causes & Control. 25(11). 1531–1541. 27 indexed citations
8.
Garrisi, Vito Michele, Stefania Tommasi, Angelo Facchiano, et al.. (2012). Proteomic profile in familial breast cancer patients. Clinical Biochemistry. 46(3). 259–265. 9 indexed citations
9.
Garrisi, Vito Michele, Italia Bongarzone, Anita Mangia, et al.. (2011). Characterization of a serum protein pattern from NSCLC patients treated with Gefitinib. Clinical Biochemistry. 44(10-11). 936–940. 11 indexed citations
10.
Garrisi, Vito Michele, Ines Abbate, Michele Quaranta, et al.. (2008). SELDI-TOF serum proteomics and breast cancer: which perspective?. Expert Review of Proteomics. 5(6). 779–785. 19 indexed citations
11.
Quaranta, Michele, Antonella Daniele, M. Coviello, et al.. (2006). C-Erbb-2 Protein Level in Tissue and Sera of Breast Cancer Patients: A Possibly Useful Clinical Correlation. Tumori Journal. 92(4). 311–317. 18 indexed citations
12.
Correale, M., Viviana Giannuzzi, Palma Aurelia Iacovazzi, et al.. (2000). Serum 90K/MAC-2BP glycoprotein levels in hepatocellular carcinoma and cirrhosis.. PubMed. 19(4C). 3469–72. 22 indexed citations
13.
Guida, Michele, Ines Abbate, A. Casamassima, et al.. (1995). Long-term Subcutaneous Recombinant Interleukin-2 as Maintenance Therapy: Biological Effects and Clinical Implications. PubMed. 10(3). 195–203. 19 indexed citations
14.
Marsigliante, Santo, et al.. (1994). Immunoradiometric detection of pS2 and total cathepsin D in primary breast cancer biopsies: their correlation with steroid receptors. British Journal of Cancer. 69(3). 550–554. 6 indexed citations
15.
Correale, M., Angelo Paradiso, Ines Abbate, et al.. (1993). Cytosolic Levels of Estrogen-Regulated pS2 Protein in Breast Cancer: Correlation with Tumor Proliferative Activity. Tumor Biology. 14(1). 30–37. 6 indexed citations
16.
Correale, M., Ines Abbate, Angelo Paradiso, et al.. (1993). pS2—A new cytosolic protein recognized by monoclonal antibodies as a marker of hormone sensitivity in breast cancer. Cell Biochemistry and Biophysics. 22(1-3). 101–110. 3 indexed citations
17.
Paradiso, Angelo, Anita Mangia, M. Correale, et al.. (1992). Cytosol cathepsin-D content and proliferative activity of human breast cancer. Breast Cancer Research and Treatment. 23(1-2). 63–70. 6 indexed citations
18.
19.
Correale, M., Ines Abbate, G Gargano, et al.. (1992). Analytical and clinical evaluation of a new tumor marker in breast cancer: CA 27.29.. PubMed. 7(1). 43–6. 3 indexed citations
20.
Gargano, G, et al.. (1990). Ovarian bilateral cystic teratomas: diagnosis and therapy in a young woman.. PubMed. 17(1). 37–42. 3 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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