M. Padovani

3.9k total citations
62 papers, 1.4k citations indexed

About

M. Padovani is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Nuclear and High Energy Physics. According to data from OpenAlex, M. Padovani has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Astronomy and Astrophysics, 18 papers in Atmospheric Science and 18 papers in Nuclear and High Energy Physics. Recurrent topics in M. Padovani's work include Astrophysics and Star Formation Studies (50 papers), Stellar, planetary, and galactic studies (19 papers) and Atmospheric Ozone and Climate (18 papers). M. Padovani is often cited by papers focused on Astrophysics and Star Formation Studies (50 papers), Stellar, planetary, and galactic studies (19 papers) and Atmospheric Ozone and Climate (18 papers). M. Padovani collaborates with scholars based in Italy, France and Germany. M. Padovani's co-authors include Daniele Galli, P. Caselli, P. Hennebelle, A. V. Ivlev, A. E. Glassgold, Alexandre Marcowith, J. M. Girart, K. Ferrière, Qizhou Zhang and K. Ferrière and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

M. Padovani

56 papers receiving 1.3k 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. Padovani Italy 23 1.3k 347 343 342 227 62 1.4k
Ramprasad Rao United States 26 2.1k 1.6× 467 1.3× 331 1.0× 252 0.7× 113 0.5× 63 2.1k
F. Bacciotti Italy 26 2.0k 1.6× 269 0.8× 520 1.5× 204 0.6× 179 0.8× 90 2.1k
Martin Houde Canada 19 1.1k 0.8× 75 0.2× 222 0.6× 248 0.7× 220 1.0× 54 1.2k
C. Goddi Germany 21 1.2k 1.0× 216 0.6× 462 1.3× 155 0.5× 67 0.3× 74 1.3k
Nick Indriolo United States 14 894 0.7× 227 0.7× 399 1.2× 358 1.0× 325 1.4× 36 1.1k
Toshihiro Handa Japan 19 1.3k 1.0× 386 1.1× 288 0.8× 139 0.4× 92 0.4× 88 1.4k
E. T. Polehampton United Kingdom 18 833 0.6× 137 0.4× 285 0.8× 223 0.7× 164 0.7× 49 1.0k
Ya‐Wen Tang Taiwan 19 873 0.7× 147 0.4× 210 0.6× 133 0.4× 178 0.8× 53 1.1k
A. Lazarian United States 21 1.6k 1.2× 314 0.9× 89 0.3× 132 0.4× 72 0.3× 53 1.6k
H. Ungerechts Spain 19 1.4k 1.0× 522 1.5× 294 0.9× 170 0.5× 98 0.4× 44 1.4k

Countries citing papers authored by M. Padovani

Since Specialization
Citations

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

Fields of papers citing papers by M. Padovani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Padovani

This figure shows the co-authorship network connecting the top 25 collaborators of M. Padovani. A scholar is included among the top collaborators of M. Padovani 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. Padovani. M. Padovani 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.
Law, Chi-Yan, M. T. Beltrán, Ray S. Furuya, et al.. (2025). A multiscale view of the magnetic field morphology in the hot molecular core G31.41+0.31. Astronomy and Astrophysics. 697. L4–L4. 1 indexed citations
2.
Redaelli, E., Daniele Galli, P. Caselli, et al.. (2024). Unveiling the role of magnetic fields in a filament accreting onto a young protocluster. Astronomy and Astrophysics. 688. A98–A98.
3.
Beltrán, M. T., M. Padovani, Daniele Galli, et al.. (2024). Self-similarity of the magnetic field at different scales: The case of G31.41+0.31. Astronomy and Astrophysics. 686. A281–A281. 4 indexed citations
4.
Rab, Christian, et al.. (2024). Impacts of energetic particles from T Tauri flares on inner protoplanetary discs. Monthly Notices of the Royal Astronomical Society. 530(4). 3669–3687. 3 indexed citations
5.
Cesaroni, R., Daniele Galli, M. Padovani, V. M. Rivilla, & Á. Sánchez-Monge. (2024). Dissecting the disk and the jet of a massive (proto)star. Astronomy and Astrophysics. 693. A76–A76.
6.
Bracco, A., M. Padovani, & Daniele Galli. (2024). A new analytical model of the cosmic-ray energy flux for Galactic diffuse radio emission. Astronomy and Astrophysics. 686. A52–A52. 1 indexed citations
7.
Bracco, A., M. Padovani, & J. D. Soler. (2023). The Orion-Taurus ridge: A synchrotron radio loop at the edge of the Orion-Eridanus superbubble. Astronomy and Astrophysics. 677. L11–L11. 3 indexed citations
8.
Padovani, M., Daniele Galli, Liam H. Scarlett, et al.. (2023). Ultraviolet H2luminescence in molecular clouds induced by cosmic rays. Astronomy and Astrophysics. 682. A131–A131. 9 indexed citations
9.
Bialy, Shmuel, Sirio Belli, & M. Padovani. (2022). Constraining the cosmic-ray ionization rate and spectrum with NIR spectroscopy of dense clouds. Astronomy and Astrophysics. 658. L13–L13. 12 indexed citations
10.
Padovani, M., Shmuel Bialy, Daniele Galli, et al.. (2022). Cosmic rays in molecular clouds probed by H2 rovibrational lines. Astronomy and Astrophysics. 658. A189–A189. 36 indexed citations
11.
Lago, M. T. V. T., R. Morganti, R. Schulz, et al.. (2018). IAU volume 14 issue A30 Cover and Front matter. Proceedings of the International Astronomical Union. 14(A30). f1–f23. 1 indexed citations
12.
Alves, F. O., J. M. Girart, M. Padovani, et al.. (2018). Magnetic field in a young circumbinary disk. Astronomy and Astrophysics. 616. A56–A56. 38 indexed citations
13.
Girart, J. M., Aina Palau, R. Estalella, et al.. (2017). A correlation between chemistry, polarization, and dust properties in the Pipe nebula starless core FeSt 1-457. Springer Link (Chiba Institute of Technology). 8 indexed citations
14.
Koch, Patrick M., Ya‐Wen Tang, Paul T. P. Ho, et al.. (2014). THE IMPORTANCE OF THE MAGNETIC FIELD FROM AN SMA-CSO-COMBINED SAMPLE OF STAR-FORMING REGIONS. The Astrophysical Journal. 797(2). 99–99. 22 indexed citations
15.
Zhang, Qizhou, Keping Qiu, J. M. Girart, et al.. (2014). MAGNETIC FIELDS AND MASSIVE STAR FORMATION. The Astrophysical Journal. 792(2). 116–116. 112 indexed citations
16.
Jørgensen, J. K., Christian Brinch, J. M. Girart, et al.. (2014). ARTIST: Adaptable Radiative Transfer Innovations for Submillimeter Telescopes. ascl. 3 indexed citations
17.
Ceccarelli, C., C. Dominik, A. López-Sepulcre, et al.. (2014). HERSCHEL FINDS EVIDENCE FOR STELLAR WIND PARTICLES IN A PROTOSTELLAR ENVELOPE: IS THIS WHAT HAPPENED TO THE YOUNG SUN?. The Astrophysical Journal Letters. 790(1). L1–L1. 54 indexed citations
18.
Padovani, M. & Daniele Galli. (2011). Effects of magnetic fields on the cosmic-ray ionization of molecular cloud cores. Springer Link (Chiba Institute of Technology). 39 indexed citations
19.
Padovani, M., C. M. Walmsley, M. Tafalla, P. Hily-Blant, & G. Pineau des Forêts. (2011). Hydrogen cyanide and isocyanide in prestellar cores. Springer Link (Chiba Institute of Technology). 26 indexed citations
20.
Padovani, M., Daniele Galli, & A. E. Glassgold. (2009). Cosmic-ray ionization of molecular clouds. Springer Link (Chiba Institute of Technology). 139 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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