Massimo De Paoli

2.7k total citations
54 papers, 2.1k citations indexed

About

Massimo De Paoli is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Massimo De Paoli has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Massimo De Paoli's work include Protease and Inhibitor Mechanisms (11 papers), Peptidase Inhibition and Analysis (8 papers) and Hemoglobin structure and function (7 papers). Massimo De Paoli is often cited by papers focused on Protease and Inhibitor Mechanisms (11 papers), Peptidase Inhibition and Analysis (8 papers) and Hemoglobin structure and function (7 papers). Massimo De Paoli collaborates with scholars based in Italy, United Kingdom and Hungary. Massimo De Paoli's co-authors include Anthony J. Wilkinson, Guy Dodson, M. F. Perutz, Mario Plebani, Ann Smith, Jon Marles‐Wright, Fabio Farinati, Romilda Cardin, Robert Liddington and Daniela Basso and has published in prestigious journals such as Gastroenterology, Journal of Molecular Biology and Cancer.

In The Last Decade

Massimo De Paoli

52 papers receiving 2.1k citations

Peers

Massimo De Paoli
Comparison fields: 5 of 133
  • Molecular Biology 1.1k
  • Cell Biology 615
  • Oncology 382
  • Cancer Research 280
  • Physiology 233
Replace John W. Marks with:
John W. Marks United States
Christian R. Lombardo United States
Takako Furukawa Japan
Michael H. Creer United States
Henry Simpkins United States
Takashi Yamaoka Japan
Mika Suzuki Japan
Shushi Nagamori Japan
Steven A. Middleton United States
Yongzhang Luo China
John W. Marks United States View profile →
Citations per field, relative to Massimo De Paoli
Massimo De Paoli · 1×
Citations per year, relative to Massimo De Paoli
Massimo De Paoli · 1×

Countries citing papers authored by Massimo De Paoli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Paoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo De Paoli

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo De Paoli. A scholar is included among the top collaborators of Massimo De Paoli 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 Massimo De Paoli. Massimo De Paoli 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
# Work Indexed citations
1 0
2 1
3 1
4 20
5 31
6 27
7 10
8 154
9 114
10 28
11 115
12 200
13 4
14 39
15 41
16
Combined use of urinary UGP and serum CA 125 in the diagnosis of gynecological cancers.
2
17 39
18 12
19 69
20 3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026