Luca Generoso

873 total citations · 1 hit paper
7 papers, 701 citations indexed

About

Luca Generoso is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Luca Generoso has authored 7 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Luca Generoso's work include Immune cells in cancer (2 papers), Adenosine and Purinergic Signaling (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Luca Generoso is often cited by papers focused on Immune cells in cancer (2 papers), Adenosine and Purinergic Signaling (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Luca Generoso collaborates with scholars based in Italy, Germany and United Kingdom. Luca Generoso's co-authors include Alessia Ricupito, Elena Jachetti, Matteo Bellone, Matteo Grioni, Arianna Calcinotto, Angelo De Milito, Giorgio Parmiani, Paola Filipazzi, Mario Santinami and Stefano Fais and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

Luca Generoso

7 papers receiving 692 citations

Hit Papers

Modulation of Microenvironment Acidity Reverses Anergy in... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Generoso Italy 7 334 271 242 205 73 7 701
Suchismita Mohanty India 16 388 1.2× 219 0.8× 117 0.5× 211 1.0× 78 1.1× 25 795
Diptendra Kumar Sarkar India 15 390 1.2× 282 1.0× 235 1.0× 334 1.6× 46 0.6× 44 944
Shravanti Mukherjee India 15 513 1.5× 134 0.5× 198 0.8× 277 1.4× 41 0.6× 25 880
Sakunthala Muthugounder United States 15 319 1.0× 200 0.7× 89 0.4× 230 1.1× 47 0.6× 17 715
Qipan Deng China 17 471 1.4× 184 0.7× 227 0.9× 213 1.0× 29 0.4× 19 827
Xipeng Wang China 12 267 0.8× 157 0.6× 206 0.9× 111 0.5× 52 0.7× 31 593
Ji-Hak Jeong South Korea 15 369 1.1× 138 0.5× 182 0.8× 151 0.7× 31 0.4× 24 684
An Ning Cheng Taiwan 9 413 1.2× 165 0.6× 176 0.7× 123 0.6× 66 0.9× 9 632
Omar Rahal United States 12 331 1.0× 96 0.4× 131 0.5× 200 1.0× 38 0.5× 20 623
Bo Ren China 10 287 0.9× 130 0.5× 174 0.7× 274 1.3× 52 0.7× 17 728

Countries citing papers authored by Luca Generoso

Since Specialization
Citations

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

Fields of papers citing papers by Luca Generoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Generoso

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

All Works

7 of 7 papers shown
1.
Bianco, Mimma, Anna Maria Gasparri, Luca Generoso, et al.. (2016). Inhibition of chronic lymphocytic leukemia progression by full-length chromogranin A and its N-terminal fragment in mouse models. Oncotarget. 7(27). 41725–41736. 7 indexed citations
2.
Jachetti, Elena, Stefania Mazzoleni, Matteo Grioni, et al.. (2013). Prostate cancer stem cells are targets of both innate and adaptive immunity and elicit tumor-specific immune responses. OncoImmunology. 2(5). e24520–e24520. 31 indexed citations
3.
Calcinotto, Arianna, Paola Filipazzi, Matteo Grioni, et al.. (2012). Modulation of Microenvironment Acidity Reverses Anergy in Human and Murine Tumor-Infiltrating T Lymphocytes. Cancer Research. 72(11). 2746–2756. 490 indexed citations breakdown →
4.
Rigamonti, Nicolò, Giusy Capuano, Alessia Ricupito, et al.. (2011). Modulators of Arginine Metabolism Do Not Impact on Peripheral T-Cell Tolerance and Disease Progression in a Model of Spontaneous Prostate Cancer. Clinical Cancer Research. 17(5). 1012–1023. 22 indexed citations
5.
Bachmeier, Beatrice E., Valentina Mirisola, Francesco Romeo, et al.. (2010). Reference Profile Correlation Reveals Estrogen-like Trancriptional Activity of Curcumin. Cellular Physiology and Biochemistry. 26(3). 471–482. 64 indexed citations
6.
Lorusso, Girieca, Nicola Vannini, Ilaria Sogno, et al.. (2009). Mechanisms of Hyperforin as an anti-angiogenic angioprevention agent. European Journal of Cancer. 45(8). 1474–1484. 34 indexed citations
7.
Sogno, Ilaria, Nicola Vannini, Girieca Lorusso, et al.. (2008). Anti-angiogenic Activity of a Novel Class of Chemopreventive Compounds: Oleanic Acid Terpenoids. Recent results in cancer research. 181. 209–212. 53 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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