Umberto Maio

2.1k total citations
43 papers, 977 citations indexed

About

Umberto Maio is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Umberto Maio has authored 43 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Astronomy and Astrophysics, 10 papers in Nuclear and High Energy Physics and 6 papers in Instrumentation. Recurrent topics in Umberto Maio's work include Galaxies: Formation, Evolution, Phenomena (31 papers), Astrophysics and Star Formation Studies (23 papers) and Stellar, planetary, and galactic studies (21 papers). Umberto Maio is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (31 papers), Astrophysics and Star Formation Studies (23 papers) and Stellar, planetary, and galactic studies (21 papers). Umberto Maio collaborates with scholars based in Italy, Germany and United States. Umberto Maio's co-authors include B. Ciardi, R. Salvaterra, L. Tornatore, Klaus Dolag, Luca Graziani, Pratika Dayal, Raffaella Schneider, Sadegh Khochfar, Matteo Viel and Margarita Petkova 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

Umberto Maio

42 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Umberto Maio Italy 20 950 229 179 35 19 43 977
Natasha Maddox United Kingdom 17 700 0.7× 244 1.1× 232 1.3× 38 1.1× 15 0.8× 36 723
Anna Sajina United States 20 1.1k 1.2× 446 1.9× 218 1.2× 19 0.5× 16 0.8× 42 1.1k
Toshinobu Takagi Japan 16 661 0.7× 308 1.3× 119 0.7× 25 0.7× 14 0.7× 54 688
Amy Kimball United States 14 900 0.9× 250 1.1× 327 1.8× 32 0.9× 10 0.5× 40 944
E. González-Solares United Kingdom 17 949 1.0× 466 2.0× 124 0.7× 23 0.7× 50 2.6× 38 984
M. Polletta United States 22 1.4k 1.5× 535 2.3× 281 1.6× 29 0.8× 48 2.5× 41 1.5k
Cai-Na Hao China 13 1.1k 1.2× 412 1.8× 101 0.6× 34 1.0× 14 0.7× 20 1.2k
C. C. Worley United Kingdom 16 833 0.9× 416 1.8× 91 0.5× 31 0.9× 20 1.1× 36 850
M. F. Skrutskie United States 8 776 0.8× 362 1.6× 109 0.6× 31 0.9× 24 1.3× 8 801
Nuria P. F. Lorente Australia 12 511 0.5× 283 1.2× 60 0.3× 43 1.2× 11 0.6× 28 558

Countries citing papers authored by Umberto Maio

Since Specialization
Citations

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

Fields of papers citing papers by Umberto Maio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Maio

This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Maio. A scholar is included among the top collaborators of Umberto Maio 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 Umberto Maio. Umberto Maio 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.
Biffi, Veronica, Elena Rasia, S. Borgani, et al.. (2025). The full iron budget in simulated galaxy clusters: The chemistry between gas and stars. Astronomy and Astrophysics. 698. A238–A238. 1 indexed citations
2.
Salvestrini, Francesco, C. Feruglio, Fabio Fontanot, et al.. (2025). Molecular gas and dust properties in z > 7 quasar hosts. Astronomy and Astrophysics. 695. A23–A23. 4 indexed citations
3.
Maio, Umberto, et al.. (2024). Atomic and molecular gas as traced by [C II] emission. Astronomy and Astrophysics. 693. A119–A119. 4 indexed citations
4.
Maio, Umberto, et al.. (2024). COLDSIM predictions of [C II] emission in primordial galaxies. Astronomy and Astrophysics. 689. A106–A106. 6 indexed citations
5.
Ragone-Figueroa, Cinthia, G. L. Granato, Giuseppe Murante, et al.. (2024). Intertwined formation of H2, dust, and stars in cosmological simulations. Astronomy and Astrophysics. 691. A200–A200. 4 indexed citations
6.
Feruglio, C., Umberto Maio, J. M. Winters, et al.. (2023). First Constraints on Dense Molecular Gas at z = 7.5149 from the Quasar Pōniuā‘ena. The Astrophysical Journal Letters. 954(1). L10–L10. 5 indexed citations
7.
Graziani, Luca, et al.. (2023). A needle in a haystack? Catching Population III stars in the epoch of reionization: I. Population III star-forming environments. Monthly Notices of the Royal Astronomical Society. 522(3). 3809–3830. 23 indexed citations
8.
Maio, Umberto & Matteo Viel. (2023). JWST high-redshift galaxy constraints on warm and cold dark matter models. Astronomy and Astrophysics. 672. A71–A71. 23 indexed citations
9.
Valentini, Milena, Klaus Dolag, S. Borgani, et al.. (2022). Impact of H2-driven star formation and stellar feedback from low-enrichment environments on the formation of spiral galaxies. Monthly Notices of the Royal Astronomical Society. 518(1). 1128–1147. 8 indexed citations
10.
Maio, Umberto, Céline Péroux, & B. Ciardi. (2021). Atomic and molecular gas from the epoch of reionisation down to redshift 2. Astronomy and Astrophysics. 657. A47–A47. 17 indexed citations
11.
Graziani, Luca, Raffaella Schneider, M. Ginolfi, et al.. (2020). The assembly of dusty galaxies at z ≥ 4: statistical properties. Monthly Notices of the Royal Astronomical Society. 494(1). 1071–1088. 54 indexed citations
12.
Zackrisson, Erik, Suman Majumdar, Rajesh Mondal, et al.. (2020). Bubble mapping with the Square Kilometre Array – I. Detecting galaxies with Euclid, JWST, WFIRST, and ELT within ionized bubbles in the intergalactic medium at z > 6. Monthly Notices of the Royal Astronomical Society. 493(1). 855–870. 10 indexed citations
13.
Maio, Umberto, B. Ciardi, & L. V. E. Koopmans. (2015). Bulk Flows and End of the Dark Ages with the SKA. 9–9. 1 indexed citations
14.
Ma, Qing-Bo, Umberto Maio, B. Ciardi, & R. Salvaterra. (2015). PopIII signatures in the spectra of PopII/I GRBs. Monthly Notices of the Royal Astronomical Society. 449(3). 3006–3014. 12 indexed citations
15.
Maio, Umberto & Edoardo Tescari. (2015). Origin of cosmic chemical abundances. Monthly Notices of the Royal Astronomical Society. 453(4). 3799–3821. 27 indexed citations
16.
Dayal, Pratika, J. S. Dunlop, Umberto Maio, & B. Ciardi. (2013). Simulating the assembly of galaxies at redshifts z = 6–12. Monthly Notices of the Royal Astronomical Society. 434(2). 1486–1504. 46 indexed citations
17.
Maio, Umberto, R. Salvaterra, L. Moscardini, & B. Ciardi. (2012). Counts of high-redshift GRBs as probes of primordial non-Gaussianities. Monthly Notices of the Royal Astronomical Society. 426(3). 2078–2088. 15 indexed citations
18.
Maio, Umberto, B. Ciardi, Naoki Yoshida, K. Dolag, & L. Tornatore. (2009). The onset of star formation in primordial haloes. Astronomy and Astrophysics. 503(1). 25–34. 28 indexed citations
19.
Maio, Umberto, B. Ciardi, K. Dolag, & L. Tornatore. (2008). Cooling in Primordial Structure Formation. AIP conference proceedings. 33–35. 2 indexed citations
20.
Maio, Umberto, Klaus Dolag, M. Meneghetti, et al.. (2006). Early structure formation in quintessence models and its implications for cosmic reionization from first stars. Monthly Notices of the Royal Astronomical Society. 373(2). 869–878. 37 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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