L. Zolla

666 total citations
19 papers, 455 citations indexed

About

L. Zolla is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, L. Zolla has authored 19 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Plant Science and 3 papers in Physiology. Recurrent topics in L. Zolla's work include Genetically Modified Organisms Research (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Insect Resistance and Genetics (3 papers). L. Zolla is often cited by papers focused on Genetically Modified Organisms Research (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Insect Resistance and Genetics (3 papers). L. Zolla collaborates with scholars based in Italy, Tunisia and Belgium. L. Zolla's co-authors include Sara Rinalducci, Mahmoud Toorchi, Mohammad Reza Naghavi, Gino Amiconi, Giulio Lupidi, Rim Ghabriche, Andrea Bellelli, Tahar Ghnaya, Stanley Lutts and Mayte Gil-Agustı́ and has published in prestigious journals such as Scientific Reports, Science Advances and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

L. Zolla

18 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Zolla Italy 10 258 159 30 27 27 19 455
Bryce A. Cunningham United States 10 371 1.4× 122 0.8× 22 0.7× 48 1.8× 12 0.4× 22 515
Li Ling China 9 307 1.2× 223 1.4× 24 0.8× 66 2.4× 12 0.4× 43 543
Huihui Zhang China 15 357 1.4× 299 1.9× 29 1.0× 27 1.0× 17 0.6× 32 619
Xueliang Ren China 14 553 2.1× 232 1.5× 18 0.6× 23 0.9× 31 1.1× 41 681
Madhavi Billam United States 9 218 0.8× 221 1.4× 34 1.1× 11 0.4× 27 1.0× 9 601
Zhifang Wang China 19 471 1.8× 344 2.2× 27 0.9× 24 0.9× 24 0.9× 36 908
Nobutoshi Ichise Japan 11 125 0.5× 241 1.5× 21 0.7× 31 1.1× 22 0.8× 26 429
Niranjani Jambunathan United States 9 739 2.9× 368 2.3× 21 0.7× 46 1.7× 18 0.7× 10 960
Xia Ning China 10 254 1.0× 230 1.4× 26 0.9× 22 0.8× 18 0.7× 20 455
Rebecca Ellis United States 12 199 0.8× 94 0.6× 31 1.0× 37 1.4× 17 0.6× 30 509

Countries citing papers authored by L. Zolla

Since Specialization
Citations

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

Fields of papers citing papers by L. Zolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Zolla

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

All Works

19 of 19 papers shown
1.
Mancini, Mara, Stefania Madonna, Serena Rinaldo, et al.. (2022). Extracellular serine empowers epidermal proliferation and psoriasis-like symptoms. Science Advances. 8(50). eabm7902–eabm7902. 16 indexed citations
2.
Gevi, Federica, Giuseppina Fanelli, L. Zolla, & Sara Rinalducci. (2019). Untargeted Metabolomics of Plant Leaf Tissues. Methods in molecular biology. 1978. 187–195. 3 indexed citations
3.
Romano, Nicla, et al.. (2018). Ribosomal RACK1 promotes proliferation of neuroblastoma cells independently of global translation upregulation. Cellular Signalling. 53. 102–110. 19 indexed citations
4.
Naghavi, Mohammad Reza, et al.. (2018). Metabolomics and proteomics reveal drought-stress responses of leaf tissues from spring-wheat. Scientific Reports. 8(1). 5710–5710. 212 indexed citations
5.
Longo, Valentina, Paolo Rebulla, Simonetta Pupella, L. Zolla, & Sara Rinalducci. (2016). Proteomic characterization of platelet gel releasate from adult peripheral and cord blood. PROTEOMICS - CLINICAL APPLICATIONS. 10(8). 870–882. 21 indexed citations
6.
Hollung, Kristin, Anna Maria Timperio, Mamen Oliván, et al.. (2014). Systems Biology: A New Tool for Farm Animal Science. Current Protein and Peptide Science. 15(2). 100–117. 9 indexed citations
7.
Cialfi, Samantha, Rocco Palermo, Sonia Manca, et al.. (2014). Loss of Notch1-dependent p21Waf1/Cip1expression influences the Notch1 outcome in tumorigenesis. Cell Cycle. 13(13). 2046–2245. 32 indexed citations
8.
Ghabriche, Rim, et al.. (2014). Comparative study of Cd tolerance and accumulation potential between Cakile maritima L. (halophyte) and Brassica juncea L.. Ecological Engineering. 71. 623–627. 52 indexed citations
9.
Murgiano, Leonardo, Anna Maria Timperio, L. Zolla, et al.. (2012). PROTEOMIC STUDY: LIVER METABOLISM THROUGH A COMPARISON OF THE PROTEIN EXPRESSION PROFILES OF THE TWO BREEDS – CHIANINA AND HOLSTEIN. 2(2). 123–127. 1 indexed citations
10.
Gil-Agustı́, Mayte, et al.. (2005). Two‐dimensional mapping as a tool for classification of green coffee bean species. PROTEOMICS. 5(3). 710–718. 30 indexed citations
11.
Naro, Fabio, et al.. (2000). Metal Binding to Pseudomonas aeruginosa Azurin: a Kinetic Investigation. Zeitschrift für Naturforschung C. 55(5-6). 347–354. 5 indexed citations
12.
Zolla, L., Giulio Lupidi, Andrea Bellelli, & Gino Amiconi. (1997). Effect of mercuric ions on human erythrocytes.. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1328(2). 273–280. 27 indexed citations
13.
Noteborn, H.P.J.M., Monique Bienenmann-Ploum, G.M. Alink, et al.. (1996). Safety assessment of the Bacillus thuringiensis insecticidal crystal protein cryia (b) expressed in transgenic tomatoes Proc. of the International Conference "Agri-Food Quality", Norwich, June 25-29,1995. Socio-Environmental Systems Modeling. 1 indexed citations
14.
Noteborn, H.P.J.M., Monique Bienenmann-Ploum, J.H.J. van den Berg, et al.. (1995). Safety assessment of the Bacillus thuringiensis insecticidal crystal protein CRYIA(b) expressed in transgenic tomatoes. Socio-Environmental Systems Modeling. 15 indexed citations
15.
Zolla, L., Giulio Lupidi, & Gino Amiconi. (1994). Effect of mercuric ions on human erythrocytes. 1. Rate of haemolysis induced by osmotic shock as a function of incubation time. Toxicology in Vitro. 8(3). 483–490. 7 indexed citations
16.
Noteborn, H.P.J.M., Monique Bienenmann-Ploum, J.H.J. van den Berg, et al.. (1994). Consuming transgenic food crops: the toxicological and safety aspects of tomato expressing CrylA(b) and NPTII.. Socio-Environmental Systems Modeling. 1045–1048. 1 indexed citations
17.
Noteborn, H.P.J.M., Monique Bienenmann-Ploum, J.H.J. van den Berg, et al.. (1993). Food safety of transgenic tomato expressing the insecticidal crystal protein CrylA(b) from Bacillus thuringiensis and the marker enzym APH(3')II.. Socio-Environmental Systems Modeling. 58. 1851–1858. 1 indexed citations
18.
Luciani, Sisto, et al.. (1990). Electrophoresis pattern of the human platelet subpopulation proteins.. PubMed. 38(4). 283A–284A. 1 indexed citations
19.
Amiconi, Gino, et al.. (1974). Physiological activity of fresh and preserved erythrocytes.. PubMed. 8(1-4). 111–9. 2 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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