M.J. Sulpizio

583 total citations
17 papers, 475 citations indexed

About

M.J. Sulpizio is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Animal Science and Zoology. According to data from OpenAlex, M.J. Sulpizio has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Animal Science and Zoology. Recurrent topics in M.J. Sulpizio's work include Reproductive Biology and Fertility (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Animal Nutrition and Physiology (3 papers). M.J. Sulpizio is often cited by papers focused on Reproductive Biology and Fertility (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Animal Nutrition and Physiology (3 papers). M.J. Sulpizio collaborates with scholars based in Italy, United States and France. M.J. Sulpizio's co-authors include Fabrizio Di Giuseppe, Carmine Di Ilio, Enrica Eleuterio, Stefania Angelucci, Gian Mario Tiboni, Franca Giampietro, Marco Marchisio, Domenico Ciavardelli, Paola Palumbo and Laura Pierdomenico and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and Journal of Cellular Biochemistry.

In The Last Decade

M.J. Sulpizio

17 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.J. Sulpizio Italy 11 119 111 107 93 61 17 475
Jaromír Vašíček Slovakia 12 103 0.9× 47 0.4× 118 1.1× 154 1.7× 41 0.7× 58 360
Huiming Ma China 10 154 1.3× 75 0.7× 126 1.2× 80 0.9× 62 1.0× 29 421
Pedro M. Aponte Ecuador 13 428 3.6× 42 0.4× 332 3.1× 383 4.1× 89 1.5× 24 1.0k
Xiaoe Zhao China 16 421 3.5× 28 0.3× 241 2.3× 140 1.5× 44 0.7× 58 801
Nicola Antonio Martino Italy 19 211 1.8× 46 0.4× 425 4.0× 344 3.7× 64 1.0× 53 831
Anmin Lei China 17 413 3.5× 57 0.5× 225 2.1× 177 1.9× 86 1.4× 46 710
Yumi Hoshino Japan 19 366 3.1× 20 0.2× 522 4.9× 312 3.4× 85 1.4× 48 851
Seung‐Hoon Lee South Korea 12 337 2.8× 17 0.2× 63 0.6× 39 0.4× 36 0.6× 49 524
Yinshan Bai China 13 236 2.0× 61 0.5× 86 0.8× 51 0.5× 61 1.0× 40 484
David Wax United States 12 635 5.3× 28 0.3× 350 3.3× 94 1.0× 163 2.7× 19 994

Countries citing papers authored by M.J. Sulpizio

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Sulpizio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Sulpizio. 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 M.J. Sulpizio. The network helps show where M.J. Sulpizio may publish in the future.

Co-authorship network of co-authors of M.J. Sulpizio

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

All Works

17 of 17 papers shown
1.
Pompilio, Arianna, Valentina Crocetta, Fabrizio Di Giuseppe, et al.. (2016). Evaluation of Antibacterial and Antibiofilm Mechanisms by Usnic Acid Against Methicillin-Resistant Staphylococcus Aureus. Future Microbiology. 11(10). 1315–1338. 21 indexed citations
2.
Simeone, Pasquale, Marco Trerotola, Rossano Lattanzio, et al.. (2014). A Unique Four-Hub Protein Cluster Associates to Glioblastoma Progression. PLoS ONE. 9(7). e103030–e103030. 23 indexed citations
3.
Giuseppe, Fabrizio Di, Laura Pierdomenico, Enrica Eleuterio, et al.. (2014). Cryopreservation Effects on Wharton’s Jelly Stem Cells Proteome. Stem Cell Reviews and Reports. 10(3). 429–46. 15 indexed citations
4.
Eleuterio, Enrica, Oriana Trubiani, M.J. Sulpizio, et al.. (2013). Proteome of Human Stem Cells from Periodontal Ligament and Dental Pulp. PLoS ONE. 8(8). e71101–e71101. 70 indexed citations
5.
Giulio, Camillo Di, Stefania Angelucci, C. Di Ilio, et al.. (2012). Proteomic Analysis of the Carotid Body: A Preliminary Study. Advances in experimental medicine and biology. 756. 349–353. 1 indexed citations
6.
Sulpizio, M.J., Stefano Falone, Fernanda Amicarelli, et al.. (2011). Molecular basis underlying the biological effects elicited by extremely low-frequency magnetic field (ELF-MF) on neuroblastoma cells. Journal of Cellular Biochemistry. 112(12). 3797–3806. 50 indexed citations
7.
Angelucci, Stefania, Marco Marchisio, Fabrizio Di Giuseppe, et al.. (2010). Proteome analysis of human Wharton's jelly cells during in vitro expansion. Proteome Science. 8(1). 18–18. 52 indexed citations
8.
Carletti, Erminia, M.J. Sulpizio, Tonino Bucciarelli, et al.. (2008). Glutathione transferases from Anguilla anguilla liver: Identification, cloning and functional characterization. Aquatic Toxicology. 90(1). 48–57. 20 indexed citations
9.
Montgomery, Sean P., Matthew A. Greenquist, W.F. Miller, et al.. (2008). Plasma metabolites of receiving heifers and the relationship between apparent bovine respiratory disease, body weight gain, and carcass characteristics1. Journal of Animal Science. 87(1). 328–333. 31 indexed citations
10.
Eleuterio, Enrica, Fabrizio Di Giuseppe, M.J. Sulpizio, et al.. (2008). Proteome analysis of X-ray irradiated human erythroleukemia cells. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1784(4). 611–620. 6 indexed citations
11.
Drouillard, James S., E.R. Loe, M.J. Sulpizio, et al.. (2007). Effect of Corn Containing the Cry1F Protein on Performance of Beef Heifers Fed a Finishing Diet Based on Steam-Flaked Corn. The Professional Animal Scientist. 23(6). 632–636. 4 indexed citations
12.
Angelucci, Stefania, Domenico Ciavardelli, Fabrizio Di Giuseppe, et al.. (2006). Proteome analysis of human follicular fluid. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(11). 1775–1785. 124 indexed citations
13.
Montgomery, Sean P., James S. Drouillard, Matthew A. Greenquist, et al.. (2005). Effects of dried full-fat corn germ and vitamin E on growth performance and carcass characteristics of finishing cattle1. Journal of Animal Science. 83(10). 2440–2447. 17 indexed citations
14.
Tiboni, Gian Mario, Tonino Bucciarelli, Franca Giampietro, M.J. Sulpizio, & C. Di Ilio. (2004). Influence of Cigarette Smoking on Vitamin E, Vitamin A, β-Carotene and Lycopene Concentrations in Human Pre-Ovulatory Follicular Fluid. International Journal of Immunopathology and Pharmacology. 17(3). 389–393. 32 indexed citations
15.
Loe, E.R., et al.. (2004). Effect of corn endosperm type and corn containing the Cry1F protein on performance of beef heifers fed finishing diets based on steam-flaked corn. Kansas Agricultural Experiment Station Research Reports. 64–67. 1 indexed citations
16.
Sulpizio, M.J., et al.. (2003). Effects of MGA in receiving diets on health, performance, and carcass characteristics. Kansas Agricultural Experiment Station Research Reports. 203–206. 2 indexed citations
17.
Montgomery, Sean P., et al.. (2002). Dakota Gold®-brand dried distiller’s grains with solubles: effects on finishing performance and carcass characteristics. Kansas Agricultural Experiment Station Research Reports. 27–29. 6 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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