M. Pannella

8.3k total citations · 2 hit papers
60 papers, 2.7k citations indexed

About

M. Pannella is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, M. Pannella has authored 60 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Astronomy and Astrophysics, 39 papers in Instrumentation and 9 papers in Nuclear and High Energy Physics. Recurrent topics in M. Pannella's work include Galaxies: Formation, Evolution, Phenomena (59 papers), Astronomy and Astrophysical Research (39 papers) and Astrophysics and Star Formation Studies (20 papers). M. Pannella is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (59 papers), Astronomy and Astrophysical Research (39 papers) and Astrophysics and Star Formation Studies (20 papers). M. Pannella collaborates with scholars based in Germany, United States and France. M. Pannella's co-authors include D. Elbaz, E. Daddi, M. Sargent, Mark Dickinson, M. Salvato, O. Ilbert, C. Schreiber, C. L. Carilli, G. Magdis and Anton M. Koekemoer and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

M. Pannella

57 papers receiving 2.6k citations

Hit Papers

THE STAR FORMATION HISTORY OF MASS-SELECTED GALAXIES IN T... 2011 2026 2016 2021 2011 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Pannella Germany 29 2.7k 1.5k 374 77 66 60 2.7k
Alexandra Pope United States 26 3.2k 1.2× 1.5k 1.0× 449 1.2× 61 0.8× 72 1.1× 75 3.2k
David Schiminovich United States 32 2.9k 1.1× 1.3k 0.9× 388 1.0× 70 0.9× 68 1.0× 66 3.0k
M. Sargent United Kingdom 30 2.9k 1.1× 1.3k 0.9× 462 1.2× 64 0.8× 55 0.8× 90 3.0k
G. Magdis Denmark 32 2.9k 1.1× 1.4k 0.9× 301 0.8× 65 0.8× 56 0.8× 100 3.0k
Ho Seong Hwang South Korea 25 2.2k 0.8× 1.2k 0.8× 233 0.6× 62 0.8× 70 1.1× 114 2.3k
S. Juneau United States 26 2.2k 0.8× 1.2k 0.8× 213 0.6× 70 0.9× 48 0.7× 46 2.3k
P. Amram France 32 3.0k 1.1× 1.4k 0.9× 322 0.9× 119 1.5× 90 1.4× 140 3.1k
A. Saintonge United Kingdom 32 2.9k 1.1× 1.3k 0.9× 292 0.8× 70 0.9× 80 1.2× 75 2.9k
Yuval Birnboim United States 17 2.8k 1.0× 1.3k 0.9× 350 0.9× 62 0.8× 71 1.1× 25 2.8k
A. M. N. Ferguson United Kingdom 36 4.2k 1.6× 2.1k 1.4× 270 0.7× 84 1.1× 48 0.7× 105 4.3k

Countries citing papers authored by M. Pannella

Since Specialization
Citations

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

Fields of papers citing papers by M. Pannella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pannella. A scholar is included among the top collaborators of M. Pannella 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. Pannella. M. Pannella 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.
Cantalupo, Sebastiano, Gabriele Pezzulli, A. Paggi, et al.. (2025). X-ray view of a massive node of the Cosmic Web at z ∼ 3. Astronomy and Astrophysics. 694. A165–A165. 5 indexed citations
2.
Esposito, Michela, S. Borgani, V. Strazzullo, et al.. (2025). Galaxy populations of protoclusters in cosmological hydrodynamical simulations. Astronomy and Astrophysics. 697. A142–A142. 4 indexed citations
3.
Mascolo, Luca Di, A. Saro, Tony Mroczkowski, et al.. (2023). Forming intracluster gas in a galaxy protocluster at a redshift of 2.16. Nature. 615(7954). 809–812. 30 indexed citations
4.
Yang, Lei, Xinwen Shu, Daizhong Liu, et al.. (2022). Compact and Variable Radio Emission from an Active Galaxy with Supersoft X-Ray Emission. The Astrophysical Journal. 935(2). 115–115. 3 indexed citations
5.
Strazzullo, V., M. Pannella, J. J. Mohr, et al.. (2022). Galaxy populations in the most distant SPT-SZ clusters. Astronomy and Astrophysics. 669. A131–A131. 5 indexed citations
6.
Cibinel, A., E. Daddi, M. Sargent, et al.. (2019). Early- and late-stage mergers among main sequence and starburst galaxies at 0.2 ≤ z ≤ 2. Monthly Notices of the Royal Astronomical Society. 485(4). 5631–5651. 43 indexed citations
7.
Wang, Tao, C. Schreiber, D. Elbaz, et al.. (2019). A dominant population of optically invisible massive galaxies in the early Universe. Nature. 572(7768). 211–214. 101 indexed citations
8.
Elbaz, D., R. Leiton, Neil M. Nagar, et al.. (2018). . Springer Link (Chiba Institute of Technology). 95 indexed citations
9.
Schreiber, C., Ivo Labbé, Karl Glazebrook, et al.. (2017). Jekyll & Hyde: quiescence and extreme obscuration in a pair of massive galaxies 1.5 Gyr after the Big Bang. Astronomy and Astrophysics. 611. A22–A22. 45 indexed citations
10.
Schreiber, C., M. Pannella, R. Leiton, et al.. (2017). The ALMA Redshift 4 Survey (AR4S). Astronomy and Astrophysics. 599. A134–A134. 29 indexed citations
11.
Schreiber, C., D. Elbaz, M. Pannella, et al.. (2017). EGG: hatching a mock Universe from empirical prescriptions. Astronomy and Astrophysics. 602. A96–A96. 22 indexed citations
12.
Schreiber, C., D. Elbaz, M. Pannella, et al.. (2016). Observational evidence of a slow downfall of star formation efficiency in massive galaxies during the past 10 Gyr. Springer Link (Chiba Institute of Technology). 31 indexed citations
13.
Strazzullo, V., E. Daddi, R. Gobat, et al.. (2016). THE RED SEQUENCE AT BIRTH IN THE GALAXY CLUSTER Cl J1449+0856 AT z = 2. The Astrophysical Journal Letters. 833(2). L20–L20. 20 indexed citations
14.
Wang, Tao, D. Elbaz, E. Daddi, et al.. (2016). DISCOVERY OF A GALAXY CLUSTER WITH A VIOLENTLY STARBURSTING CORE AT z = 2.506. The Astrophysical Journal. 828(1). 56–56. 108 indexed citations
15.
Daddi, E., M. Béthermin, M. Pannella, et al.. (2015). Satellite content and quenching of star formation in galaxy groups at z ~ 1.8. Sussex Research Online (University of Sussex). 9 indexed citations
16.
Tan, Qinghua, E. Daddi, G. Magdis, et al.. (2014). Dust and gas in luminous proto-cluster galaxies atz= 4.05: the case for different cosmic dust evolution in normal and starburst galaxies. Astronomy and Astrophysics. 569. A98–A98. 42 indexed citations
17.
Magdis, G., E. Daddi, D. Elbaz, et al.. (2011). GOODS- HERSCHEL : GAS-TO-DUST MASS RATIOS AND CO-TO-H 2 CONVERSION FACTORS IN NORMAL AND STARBURSTING GALAXIES AT HIGH- z. The Astrophysical Journal Letters. 740(1). L15–L15. 77 indexed citations
18.
Pierini, D., S. Giodini, A. Finoguenov, et al.. (2011). Two fossil groups of galaxies at z≈ 0.4 in the Cosmic Evolution Survey: accelerated stellar-mass build-up, different progenitors. Monthly Notices of the Royal Astronomical Society. 417(4). 2927–2937. 9 indexed citations
19.
Silvotti, R., S. Catalán, M. Cignoni, et al.. (2008). White dwarfs in the Capodimonte deep field. Astronomy and Astrophysics. 497(1). 109–116.
20.
Alcalá, J. M., M. Pannella, E. Puddu, et al.. (2004). The Capodimonte Deep Field. Astronomy and Astrophysics. 428(1). 339–352. 11 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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