Massimo Conese

6.6k citations
185 papers · 5.4k · h-index 40

Impact in

Papers in

Massimo Conese

180 papers receiving 5.3k citations

Peers

Massimo Conese
Comparison fields: 5 of 146
  • Pharmaceutical Science 415
  • Cancer Research 894
  • Pulmonary and Respiratory Medicine 1.5k
  • Immunology and Allergy 273
  • Hematology 462
Replace Michael H. Koval with:
Michael H. Koval United States
Reto Albert Schwendener Switzerland
Mei X. Wu United States
Herman Yeger Canada
Ron N. Apte Israel
Alberto Passi Italy
Stephan Schreml Germany
Lillian B. Nanney United States
Donald L. Kreutzer United States
Randall J. Mrsny United States
Massimo Conese relative to Michael H. Koval United States Michael H. Koval's profile →
Citations per field
00.5×2×3.1×
Michael H. Koval · 1×
Citations per year

Countries citing papers authored by Massimo Conese

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Conese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Conese, 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 Massimo Conese Line = papers co-authored together Massimo Conese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997279
2 2006187
3 1995173
4 1999137
5 2020135
6 2000129
7 2005124
8 2020117
9 1993109
10 201596
11 200394
12
Urokinase/urokinase receptor system: internalization/degradation of urokinase-serpin complexes: mechanism and regulation.
199590
13 200584
14 200783
15 199483
16 200580
17 200978
18 201377
19 200072
20 201268

About Massimo Conese

Massimo Conese is a scholar working on Pulmonary and Respiratory Medicine, Pharmaceutical Science, Genetics, Cancer Research and Molecular Biology, having authored 185 papers that have together received 5.4k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (61 papers), Neonatal Respiratory Health Research (53 papers), Advanced Drug Delivery Systems (17 papers), RNA Interference and Gene Delivery (16 papers), Virus-based gene therapy research (15 papers), Mesenchymal stem cell research (15 papers), Inhalation and Respiratory Drug Delivery (13 papers) and Protease and Inhibitor Mechanisms (13 papers). The work is most often cited by research in Pharmaceutical Science (415 citations), Cancer Research (894 citations), Pulmonary and Respiratory Medicine (1.5k citations), Immunology and Allergy (273 citations) and Hematology (462 citations). Massimo Conese has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Sante Di Gioia, Francesco Blasi, Stefano Castellani, Joanna Rejman, Alessandra Bragonzi, Elena Copreni, Annalucia Carbone, David P. Olson, Adriana Trapani and Dick Hoekstra. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cystic Fibrosis, International Journal of Pharmaceutics, Gene Therapy and The Journal of Gene Medicine.

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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