Daniela Giachetti

2.3k total citations
76 papers, 1.3k citations indexed

About

Daniela Giachetti is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Daniela Giachetti has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 40 papers in Applied Mathematics and 18 papers in Mathematical Physics. Recurrent topics in Daniela Giachetti's work include Nonlinear Partial Differential Equations (38 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Numerical methods in inverse problems (13 papers). Daniela Giachetti is often cited by papers focused on Nonlinear Partial Differential Equations (38 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Numerical methods in inverse problems (13 papers). Daniela Giachetti collaborates with scholars based in Italy, Spain and France. Daniela Giachetti's co-authors include Lucio Boccardo, Lucia Ciccoli, Mario Comporti, L. Sugherini, Marco Ferrali, Cinzia Signorini, François Murat, Sergio Segura de León, Maria Michaela Porzio and Marco Biagi and has published in prestigious journals such as FEBS Letters, Molecules and Journal of Mathematical Analysis and Applications.

In The Last Decade

Daniela Giachetti

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Giachetti Italy 17 565 549 315 203 187 76 1.3k
Mitsuru Uchiyama Japan 15 282 0.5× 173 0.3× 66 0.2× 49 0.2× 86 0.5× 100 918
Sang Hoon Lee South Korea 17 127 0.2× 31 0.1× 67 0.2× 174 0.9× 210 1.1× 71 781
Hidekazu Ito Japan 16 15 0.0× 13 0.0× 38 0.1× 375 1.8× 364 1.9× 58 1.5k
Hira Iqbal Pakistan 8 15 0.0× 42 0.1× 18 0.1× 60 0.3× 23 0.1× 18 420
Chi‐Yu He China 14 27 0.0× 13 0.0× 12 0.0× 20 0.1× 122 0.7× 15 1.2k
Hao Yong Poland 2 8 0.0× 52 0.1× 5 0.0× 412 2.0× 321 1.7× 2 807
Karthikeyan Mohanraj India 7 7 0.0× 322 0.6× 3 0.0× 20 0.1× 122 0.7× 9 769
Haymie Choi South Korea 16 20 0.0× 6 0.0× 5 0.0× 101 0.5× 179 1.0× 40 995
Runchun Xu China 20 15 0.0× 41 0.1× 96 0.5× 189 1.0× 50 1.2k
Z. M. Hu China 15 72 0.1× 8 0.0× 60 0.3× 140 0.7× 35 907

Countries citing papers authored by Daniela Giachetti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Giachetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Giachetti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Giachetti. A scholar is included among the top collaborators of Daniela Giachetti 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 Daniela Giachetti. Daniela Giachetti 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.
Governa, Paolo, Giulia Baini, Vittoria Borgonetti, et al.. (2018). Phytotherapy in the Management of Diabetes: A Review. Molecules. 23(1). 105–105. 106 indexed citations
2.
Giachetti, Daniela, Pedro J. Martínez−Aparicio, & François Murat. (2018). On the definition of the solution to a semilinear elliptic problem with a strong singularity at u=0. Nonlinear Analysis. 177. 491–523. 6 indexed citations
3.
Governa, Paolo, Giulia Baini, Vittoria Borgonetti, et al.. (2017). Phytotherapy in the Management of Diabetes: A Review. Preprints.org. 2 indexed citations
4.
Governa, Paolo, Giulia Baini, Vittoria Borgonetti, et al.. (2017). Phytotherapy in the Management of Diabetes: A Review. Preprints.org. 15 indexed citations
5.
Giachetti, Daniela, Pedro J. Martínez−Aparicio, & François Murat. (2017). Homogenization of a Dirichlet semilinear elliptic problem with a strong\n singularity at $u=0$ in a domain with many small holes. arXiv (Cornell University). 8 indexed citations
6.
Giachetti, Daniela, et al.. (2017). Homogenization of a Dirichlet semilinear elliptic problem with a strong singularity at u= 0 in a domain with many small holes. Journal of Functional Analysis. 274(6). 1747–1789. 1 indexed citations
7.
Biagi, Marco, Giovanni Appendino, Elisabetta Miraldi, et al.. (2016). Herbal Products in Italy: The Thin Line between Phytotherapy, Nutrition and Parapharmaceuticals; A Normative Overview of the Fastest Growing Market in Europe. Pharmaceuticals. 9(4). 65–65. 28 indexed citations
8.
Governa, Paolo, Daniela Giachetti, Marco Biagi, Fabrizio Manetti, & Luca De Vico. (2016). Hypothesis on Serenoa repens (Bartram) small extract inhibition of prostatic 5 α -reductase through an in silico approach on 5 β -reductase x-ray structure. PeerJ. 4. e2698–e2698. 11 indexed citations
9.
Biagi, Marco, et al.. (2014). Optimization of extraction of drugs containing polyphenols using an innovative technique. Use Siena air (University of Siena). 4 indexed citations
10.
Miraldi, Elisabetta, et al.. (2012). QUALI-QUANTITATIVE ANALYSIS OF EIGHT ROSMARINUS OFFICINALIS ESSENTIAL OILS OF DIFFERENT ORIGIN. FIRST REPORT. 2(1). 42–43. 3 indexed citations
11.
Miraldi, Elisabetta, Marco Biagi, & Daniela Giachetti. (2008). Review A Comprehensive Systematic Pharmacological Review on Harpagophytum procumbens DC. (Devil’s claw). Biological Sciences - PJSIR. 51(3). 165–176. 1 indexed citations
12.
Dall’Aglio, Andrea, Daniela Giachetti, Ireneo Peral, & Sergio Segura de León. (2008). Global existence for some slightly super-linear parabolic equations with measure data. Journal of Mathematical Analysis and Applications. 345(2). 892–902. 7 indexed citations
13.
Giachetti, Daniela, et al.. (2007). Porous medium type equations with a quadratic gradient term. IRIS Research product catalog (Sapienza University of Rome). 10(3). 753–759.
14.
Puel, Jean-Pierre, et al.. (2005). Nonlinear Parabolic Equations with Natural Growth in General Domains. Bollettino Della Unione Matematica Italiana. 8(3). 653–684. 14 indexed citations
15.
16.
Giachetti, Daniela & Maria Michaela Porzio. (2001). Existence Results for Some Nonuniformly Elliptic Equations with Irregular Data. Journal of Mathematical Analysis and Applications. 257(1). 100–130. 24 indexed citations
17.
Miraldi, Elisabetta, Daniela Giachetti, & Sara Ferri. (2001). Quality control of aromatic drugs reported in European Pharmacopoeia 3rd edition. Il Farmaco. 56(5-7). 365–371. 4 indexed citations
18.
Giachetti, Daniela, et al.. (1997). Boundary higher integrability for the gradient of distributional solutions of nonlinear systems. Studia Mathematica. 123(2). 175–184. 8 indexed citations
19.
Baccetti, B., A. G. Burrini, Giulia Collodel, et al.. (1993). Evaluation of the antifertility activity of the broomSpartium junceumin the mammalian male. Zygote. 1(1). 71–78. 5 indexed citations
20.
Giachetti, Daniela, et al.. (1988). Spasmolytic activity of peppermint sage and rosemary essences and their major constituents. Fitoterapia. 6. 463–468. 17 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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