Michael Marconi

944 citations
36 papers · 682 · 1 hit paper · h-index 15

Impact in

Papers in

Michael Marconi

32 papers receiving 642 citations

Michael Marconi's Hit Papers

Observation of an ultra-high-energy cosmic neutrino with KM3NeT 2025 · 72 citations
720Years since publication204060

Peers

Michael Marconi
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 133
  • Nuclear and High Energy Physics 155
  • Aging 13
  • Developmental Neuroscience 28
  • Cellular and Molecular Neuroscience 109
Replace Kayoko Esaki with:
Kayoko Esaki Japan
Raffaele Cerutti Italy
Yuhong Fang United States
Alexandra Gouveia Portugal
Lígia Sousa-Ferreira Portugal
Shinji Matsumura Japan
Julia Gray United States
Atsushi Sugie Japan
M. Macías Spain
Weidong Hu China
Michael Marconi relative to Kayoko Esaki Japan Kayoko Esaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Marconi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Marconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Marconi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Marconi Line = papers co-authored together Michael Marconi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009161
2 201292
3
Observation of an ultra-high-energy cosmic neutrino with KM3NeT
Hit paper breakdown →
202572
4 201344
5 200733
6 201331
7 201431
8 201723
9 202022
10 198822
11 201119
12 202419
13 202518
14 202317
15 202515
16 202415
17 20247
18 20247
19 20245
20 20245

About Michael Marconi

Michael Marconi is a scholar working on Nuclear and High Energy Physics, Endocrine and Autonomic Systems, Astronomy and Astrophysics, Physiology and Radiation, having authored 36 papers that have together received 682 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (18 papers), Neutrino Physics Research (18 papers), Dark Matter and Cosmic Phenomena (12 papers), Particle physics theoretical and experimental studies (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Circadian rhythm and melatonin (3 papers), Alzheimer's disease research and treatments (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (133 citations), Nuclear and High Energy Physics (155 citations), Aging (13 citations), Developmental Neuroscience (28 citations) and Cellular and Molecular Neuroscience (109 citations). Michael Marconi has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Travis T. Wager, Cheng Chang, Angela C. Doran, Daniel B. Forger, Jae Kyoung Kim, Douglas E. Wood, Evan Y. Snyder, Steven N. Kalkanis, Donald Eugene Redmond and Jianxue Li. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, ACS Chemical Neuroscience, Astroparticle Physics and Journal of Pharmacology and Experimental Therapeutics.

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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