Ivane Abiatari

1.3k total citations
32 papers, 1.0k citations indexed

About

Ivane Abiatari is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Ivane Abiatari has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Ivane Abiatari's work include Pancreatic and Hepatic Oncology Research (7 papers), Multiple Myeloma Research and Treatments (4 papers) and Cancer Cells and Metastasis (4 papers). Ivane Abiatari is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Multiple Myeloma Research and Treatments (4 papers) and Cancer Cells and Metastasis (4 papers). Ivane Abiatari collaborates with scholars based in Georgia, Germany and United States. Ivane Abiatari's co-authors include Jörg Kleeff, Iréne Esposito, Mert Erkan, Nathalia A. Giese, Helmut Frieß, Christoph Michalski, Simon Rieder, Armin Kolb, Carolin Reiser–Erkan and Helmut Friess and has published in prestigious journals such as Blood, Oncogene and International Journal of Cancer.

In The Last Decade

Ivane Abiatari

31 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivane Abiatari Georgia 13 512 460 214 164 148 32 1.0k
Daniel Freund Germany 13 607 1.2× 523 1.1× 158 0.7× 135 0.8× 154 1.0× 20 1.2k
Shereen Keleg Germany 16 463 0.9× 581 1.3× 184 0.9× 115 0.7× 76 0.5× 20 917
Myriam Labelle United States 13 631 1.2× 574 1.2× 235 1.1× 65 0.4× 143 1.0× 19 1.3k
Mélanie Tichet France 16 441 0.9× 674 1.5× 196 0.9× 67 0.4× 103 0.7× 20 1.1k
Demirkan Gursel United States 19 270 0.5× 491 1.1× 284 1.3× 125 0.8× 64 0.4× 32 970
Michael K. Asiedu United States 13 726 1.4× 614 1.3× 287 1.3× 63 0.4× 152 1.0× 17 1.2k
Jane D. Holland Germany 10 569 1.1× 879 1.9× 244 1.1× 61 0.4× 100 0.7× 11 1.3k
Jessica Pahler United States 7 754 1.5× 844 1.8× 319 1.5× 149 0.9× 161 1.1× 7 1.4k
Albert Santamaria‐Martínez Switzerland 13 865 1.7× 710 1.5× 410 1.9× 86 0.5× 156 1.1× 20 1.5k
Chi Tat Lam Hong Kong 10 940 1.8× 889 1.9× 549 2.6× 138 0.8× 104 0.7× 12 1.6k

Countries citing papers authored by Ivane Abiatari

Since Specialization
Citations

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

Fields of papers citing papers by Ivane Abiatari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivane Abiatari

This figure shows the co-authorship network connecting the top 25 collaborators of Ivane Abiatari. A scholar is included among the top collaborators of Ivane Abiatari 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 Ivane Abiatari. Ivane Abiatari 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.
2.
Chyra, Zuzana, Sigitas Verselis, Ivane Abiatari, et al.. (2023). Identification of disease-related aberrantly spliced transcripts in myeloma and strategies to target these alterations by RNA-based therapeutics. Blood Cancer Journal. 13(1). 23–23. 3 indexed citations
3.
Kong, Bo, Susanne Raulefs, Susanne Roth, et al.. (2022). Sca-1 is a marker for cell plasticity in murine pancreatic epithelial cells and induced by IFN-β in vitro. Pancreatology. 22(2). 294–303. 3 indexed citations
4.
Gotsadze, George, et al.. (2022). The State of Public Health Education and Science During and After the Fall of the Soviet Union: Achievements, Remaining Challenges, and Future Priorities. Frontiers in Public Health. 10. 871108–871108. 2 indexed citations
5.
Adamia, Sophia, Shruti Bhatt, Kenneth Wen, et al.. (2022). Combination therapy targeting Erk1/2 and CDK4/6i in relapsed refractory multiple myeloma. Leukemia. 36(4). 1088–1101. 10 indexed citations
6.
Merabishvili, Maya, Jeroen Wagemans, Cédric Lood, et al.. (2021). In Vitro Evaluation of the Therapeutic Potential of Phage VA7 against Enterotoxigenic Bacteroides fragilis Infection. Viruses. 13(10). 2044–2044. 5 indexed citations
7.
Abiatari, Ivane, et al.. (2020). HOW TO MANAGE PORTFOLIO AND USE IT AS THE BEST TOOL FOR FORMATIVE ASSESSMENT. ICERI proceedings. 1. 814–820. 2 indexed citations
8.
Adamia, Sophia, Ivane Abiatari, Samirkumar B. Amin, et al.. (2019). The effects of MicroRNA deregulation on pre-RNA processing network in multiple myeloma. Leukemia. 34(1). 167–179. 9 indexed citations
9.
Abiatari, Ivane, et al.. (2018). OVEREXPRESSED PROGENITOR GENE CSF1R IN PANCREATIC CANCER TISSUES AND NERVE INVASIVE PANCREATIC CANCER CELLS.. PubMed. 96–100. 3 indexed citations
10.
Kakabadze, Zurab, et al.. (2014). Benign osteoblastoma of the mandible in a 12-year-old female: A case report. Oncology Letters. 8(6). 2691–2694. 5 indexed citations
11.
12.
Oliveira, Tiago De, Ivane Abiatari, Susanne Raulefs, et al.. (2012). Syndecan-2 promotes perineural invasion and cooperates with K-ras to induce an invasive pancreatic cancer cell phenotype. Molecular Cancer. 11(1). 19–19. 46 indexed citations
13.
Abiatari, Ivane, Tiago De Oliveira, Carsten Jäger, et al.. (2012). The actin binding protein destrin is associated with growth and perineural invasion of pancreatic cancer. Pancreatology. 12(4). 350–357. 16 indexed citations
14.
Abiatari, Ivane, Iréne Esposito, Tiago De Oliveira, et al.. (2009). MOESIN DEPENDENT CYTOSKELETON REMODELING IS ASSOCIATED WITH AN ANAPLASTIC PHENOTYPE OF PANCREATIC CANCER. Journal of Cellular and Molecular Medicine. 14(5). 1166–79. 33 indexed citations
15.
Jiang, Xiaohua, Ivane Abiatari, Bo Kong, et al.. (2008). Pancreatic Islet and Stellate Cells Are the Main Sources of Endocrine Gland-Derived Vascular Endothelial Growth Factor/Prokineticin-1 in Pancreatic Cancer. Pancreatology. 9(1-2). 165–172. 41 indexed citations
16.
Erkan, Mert, Christoph Michalski, Simon Rieder, et al.. (2008). The Activated Stroma Index Is a Novel and Independent Prognostic Marker in Pancreatic Ductal Adenocarcinoma. Clinical Gastroenterology and Hepatology. 6(10). 1155–1161. 332 indexed citations
17.
Herner, Alexander, Danguole Sauliunaite, Mert Erkan, et al.. (2008). AMPA RECEPTOR ANTAGONISM INHIBITS PANCREATIC CANCER GROWTH. Pancreas. 37(4). 485–485. 1 indexed citations
18.
Abiatari, Ivane, et al.. (2006). Hsulf-1 regulates growth and invasion of pancreatic cancer cells. Journal of Clinical Pathology. 59(10). 1052–1058. 33 indexed citations
19.
Esposito, Iréne, Jörg Kleeff, Ivane Abiatari, et al.. (2006). Overexpression of cellular inhibitor of apoptosis protein 2 is an early event in the progression of pancreatic cancer. Journal of Clinical Pathology. 60(8). 885–895. 44 indexed citations
20.
Kleeff, Jörg, Ivane Abiatari, Hany Kayed, et al.. (2005). Enhanced levels of Hsulf-1 interfere with heparin-binding growth factor signaling in pancreatic cancer. Molecular Cancer. 4(1). 14–14. 80 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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