Salvatore Papa

5.6k total citations · 2 hit papers
51 papers, 4.5k citations indexed

About

Salvatore Papa is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Salvatore Papa has authored 51 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 26 papers in Cancer Research and 14 papers in Immunology. Recurrent topics in Salvatore Papa's work include NF-κB Signaling Pathways (21 papers), Immune Response and Inflammation (10 papers) and Cell death mechanisms and regulation (9 papers). Salvatore Papa is often cited by papers focused on NF-κB Signaling Pathways (21 papers), Immune Response and Inflammation (10 papers) and Cell death mechanisms and regulation (9 papers). Salvatore Papa collaborates with scholars based in United States, United Kingdom and Italy. Salvatore Papa's co-authors include Concetta Bubici, Guido Franzoso, Francesca Zazzeroni, Can G. Pham, Enrico De Smaele, Rong Cong, Frank M. Torti, Carole Beaumont, Suzy V. Torti and James R. Knabb and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Salvatore Papa

51 papers receiving 4.5k citations

Hit Papers

Induction of gadd45β by NF-κB downregulates pro-apoptotic... 2001 2026 2009 2017 2001 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salvatore Papa United States 28 2.7k 1.5k 1.0k 889 420 51 4.5k
Francesca Zazzeroni Italy 35 3.0k 1.1× 1.6k 1.1× 1.2k 1.2× 1.0k 1.2× 566 1.3× 96 5.3k
Concetta Bubici United States 21 2.2k 0.8× 1.1k 0.8× 822 0.8× 756 0.9× 341 0.8× 29 3.8k
Marie‐Paule Merville Belgium 33 2.7k 1.0× 1.5k 1.0× 1.1k 1.1× 1000 1.1× 344 0.8× 75 4.7k
Ilan Stein Israel 21 2.6k 1.0× 1.6k 1.1× 956 0.9× 968 1.1× 406 1.0× 31 4.5k
Thomas G. Hofmann Germany 39 3.7k 1.3× 1.3k 0.9× 1.1k 1.0× 1.7k 1.9× 497 1.2× 83 5.4k
Dooil Jeoung South Korea 42 3.0k 1.1× 967 0.7× 1.1k 1.0× 693 0.8× 286 0.7× 166 4.8k
Ulrich Pfeffer Italy 41 3.6k 1.3× 1.2k 0.8× 860 0.8× 1.3k 1.5× 314 0.7× 143 6.3k
Hansoo Lee South Korea 42 2.7k 1.0× 818 0.6× 782 0.8× 633 0.7× 354 0.8× 104 4.7k
Latifa Bakiri Austria 37 2.5k 0.9× 799 0.5× 699 0.7× 1.0k 1.1× 473 1.1× 79 4.2k
You Mie Lee South Korea 40 3.4k 1.2× 1.5k 1.0× 506 0.5× 777 0.9× 274 0.7× 119 5.0k

Countries citing papers authored by Salvatore Papa

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore Papa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Papa

This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore Papa. A scholar is included among the top collaborators of Salvatore Papa 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 Salvatore Papa. Salvatore Papa 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.
Papa, Salvatore & Concetta Bubici. (2023). Metabolic Reprogramming. Methods in molecular biology. 1 indexed citations
2.
Lepore, Alessio, Rosy Favicchio, Marco A. Briones‐Orta, et al.. (2021). Phosphorylation and Stabilization of PIN1 by JNK Promote Intrahepatic Cholangiocarcinoma Growth. Hepatology. 74(5). 2561–2579. 15 indexed citations
3.
Manka, Paul, Jason D. Coombes, René J. Boosman, et al.. (2018). Thyroid hormone in the regulation of hepatocellular carcinoma and its microenvironment. Cancer Letters. 419. 175–186. 22 indexed citations
4.
Iansante, Valeria, Ying Liu, Julian Dyson, et al.. (2015). PARP14 promotes the Warburg effect in hepatocellular carcinoma by inhibiting JNK1-dependent PKM2 phosphorylation and activation. Nature Communications. 6(1). 7882–7882. 183 indexed citations
5.
Barbarulo, Alessandro, Valeria Iansante, Aristeidis Chaidos, et al.. (2012). Poly(ADP-ribose) polymerase family member 14 (PARP14) is a novel effector of the JNK2-dependent pro-survival signal in multiple myeloma. Oncogene. 32(36). 4231–4242. 98 indexed citations
6.
Mauro, Claudio, Francesca Zazzeroni, Salvatore Papa, Concetta Bubici, & Guido Franzoso. (2009). The NF-κB Transcription Factor Pathway as a Therapeutic Target in Cancer: Methods for Detection of NF-κB Activity. Methods in molecular biology. 512. 169–207. 41 indexed citations
7.
Liu, Bin, et al.. (2008). Growth arrest and DNA damage protein 45b (Gadd45b) protects retinal ganglion cells from injuries. Neurobiology of Disease. 33(1). 104–110. 19 indexed citations
8.
Tornatore, Laura, Daniela Marasco, Nina Dathan, et al.. (2008). Gadd45β forms a Homodimeric Complex that Binds Tightly to MKK7. Journal of Molecular Biology. 378(1). 97–111. 40 indexed citations
9.
Mittal, Akanksha, Salvatore Papa, Guido Franzoso, & Ranjan Sen. (2006). NF-κB-Dependent Regulation of the Timing of Activation-Induced Cell Death of T Lymphocytes. The Journal of Immunology. 176(4). 2183–2189. 33 indexed citations
10.
Papa, Salvatore, Concetta Bubici, Francesca Zazzeroni, et al.. (2006). The NF-κB-mediated control of the JNK cascade in the antagonism of programmed cell death in health and disease. Cell Death and Differentiation. 13(5). 712–729. 200 indexed citations
12.
Pham, Can G., Salvatore Papa, Concetta Bubici, Francesca Zazzeroni, & Guido Franzoso. (2005). In the Crosshairs: NF-κB Targets the JNK Signaling Cascade. PubMed. 4(6). 569–576. 4 indexed citations
13.
Pham, Can G., Salvatore Papa, Concetta Bubici, Francesca Zazzeroni, & Guido Franzoso. (2005). Oxygen JNKies: Phosphatases Overdose on ROS. Developmental Cell. 8(4). 452–454. 17 indexed citations
14.
Papa, Salvatore, Concetta Bubici, Can G. Pham, Francesca Zazzeroni, & Guido Franzoso. (2005). NF-κB meets ROS: an ‘iron-ic’ encounter. Cell Death and Differentiation. 12(10). 1259–1262. 21 indexed citations
15.
Papa, Salvatore, Francesca Zazzeroni, Concetta Bubici, et al.. (2004). Gadd45β mediates the NF-κB suppression of JNK signalling by targeting MKK7/JNKK2. Nature Cell Biology. 6(2). 146–153. 283 indexed citations
16.
Pham, Can G., Concetta Bubici, Francesca Zazzeroni, et al.. (2004). Ferritin Heavy Chain Upregulation by NF-κB Inhibits TNFα-Induced Apoptosis by Suppressing Reactive Oxygen Species. Cell. 119(4). 529–542. 573 indexed citations breakdown →
17.
Franzoso, Guido, Francesca Zazzeroni, & Salvatore Papa. (2003). JNK: a killer on a transcriptional leash. Cell Death and Differentiation. 10(1). 13–15. 32 indexed citations
18.
Smaele, Enrico De, et al.. (2002). Regulation of the gadd45β Promoter by NF-κB. DNA and Cell Biology. 21(7). 491–503. 63 indexed citations
19.
Smaele, Enrico De, et al.. (2001). Induction of gadd45β by NF-κB downregulates pro-apoptotic JNK signalling. Nature. 414(6861). 308–313. 633 indexed citations breakdown →
20.
Papa, Salvatore & J. M. Tager. (1995). Biochemistry of Cell Membranes. Birkhäuser Basel eBooks. 21 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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