C. Bombardi

437 total citations
8 papers, 380 citations indexed

About

C. Bombardi is a scholar working on Molecular Biology, Cancer Research and Nephrology. According to data from OpenAlex, C. Bombardi has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Nephrology. Recurrent topics in C. Bombardi's work include Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). C. Bombardi is often cited by papers focused on Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). C. Bombardi collaborates with scholars based in Italy, Switzerland and Denmark. C. Bombardi's co-authors include Andréa Stella, Giovanna Castoldi, Cira Di Gioia, Gianpaolo Zerbini, Martina Leopizzi, B. Corradi, Massimiliano Mancini, Gianluigi Condorelli, Daniele Catalucci and Silvia Maestroni and has published in prestigious journals such as Journal of Cellular Physiology, American Journal of Physiology-Renal Physiology and Clinical Science.

In The Last Decade

C. Bombardi

8 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Bombardi Italy 8 219 126 121 46 45 8 380
Andrea Grund Germany 13 231 1.1× 141 1.1× 47 0.4× 76 1.7× 34 0.8× 17 458
Sergio Alonso‐Orgaz Spain 11 138 0.6× 154 1.2× 67 0.6× 13 0.3× 30 0.7× 18 389
Shun-Lin Qu China 11 185 0.8× 83 0.7× 79 0.7× 31 0.7× 15 0.3× 12 330
Yoshiki Akakabe Japan 10 155 0.7× 144 1.1× 31 0.3× 67 1.5× 37 0.8× 18 429
Xiaomeng Jia China 12 127 0.6× 44 0.3× 66 0.5× 34 0.7× 113 2.5× 19 327
Jeffrey Hsu United States 8 149 0.7× 263 2.1× 55 0.5× 32 0.7× 21 0.5× 12 550
Anja Bondke Germany 6 263 1.2× 53 0.4× 85 0.7× 38 0.8× 15 0.3× 9 388
Zachary M. Augur United States 6 136 0.6× 78 0.6× 85 0.7× 28 0.6× 17 0.4× 7 362
Satoshi Yamaguchi Japan 9 159 0.7× 22 0.2× 130 1.1× 34 0.7× 46 1.0× 29 338
Vijay Divakaran United States 7 290 1.3× 225 1.8× 194 1.6× 9 0.2× 18 0.4× 17 489

Countries citing papers authored by C. Bombardi

Since Specialization
Citations

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

Fields of papers citing papers by C. Bombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Bombardi

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

All Works

8 of 8 papers shown
1.
Castoldi, Giovanna, Cira Di Gioia, Raffaella Carletti, et al.. (2015). Different regulation of miR‐29a‐3p in glomeruli and tubules in an experimental model of angiotensin II‐dependent hypertension: potential role in renal fibrosis. Clinical and Experimental Pharmacology and Physiology. 43(3). 335–342. 15 indexed citations
2.
Castoldi, Giovanna, Cira Di Gioia, C. Bombardi, et al.. (2014). Prevention of diabetic nephropathy by compound 21, selective agonist of angiotensin type 2 receptors, in Zucker diabetic fatty rats. American Journal of Physiology-Renal Physiology. 307(10). F1123–F1131. 48 indexed citations
3.
Raimondo, Francesca, Lavinia Morosi, Clizia Chinello, et al.. (2013). Urinary exosomes and diabetic nephropathy: a proteomic approach. Molecular BioSystems. 9(6). 1139–1146. 63 indexed citations
4.
Castoldi, Giovanna, Cira Di Gioia, C. Bombardi, et al.. (2013). Renal Antifibrotic Effect of N-Acetyl-Seryl-Aspartyl-Lysyl-Proline in Diabetic Rats. American Journal of Nephrology. 37(1). 65–73. 25 indexed citations
5.
Castoldi, Giovanna, Cira Di Gioia, C. Bombardi, et al.. (2011). MiR‐133a regulates collagen 1A1: Potential role of miR‐133a in myocardial fibrosis in angiotensin II‐dependent hypertension. Journal of Cellular Physiology. 227(2). 850–856. 163 indexed citations
6.
Castoldi, Giovanna, Laura Antolini, C. Bombardi, et al.. (2010). Oxidative stress biomarkers and chromogranin A in uremic patients: Effects of dialytic treatment. Clinical Biochemistry. 43(18). 1387–1392. 15 indexed citations
7.
Castoldi, Giovanna, Cira Di Gioia, C. Bombardi, et al.. (2009). Prevention of myocardial fibrosis by N-acetyl-seryl-aspartyl-lysyl-proline in diabetic rats. Clinical Science. 118(3). 211–220. 30 indexed citations
8.
Castoldi, Giovanna, Cira Di Gioia, Giuseppe Busca, et al.. (2007). ANGIOTENSIN II INCREASES TISSUE‐SPECIFIC INHIBITOR OF METALLOPROTEINASE‐2 EXPRESSION IN RAT AORTIC SMOOTH MUSCLE CELLS IN VIVO: EVIDENCE OF A PRESSURE‐INDEPENDENT EFFECT. Clinical and Experimental Pharmacology and Physiology. 34(3). 205–209. 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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