Michela Cortesi

916 citations
25 papers · 651 indexed · h-index 15
Topics
Pharmacological Receptor Mechanisms and Effects (7 papers)Cancer Cells and Metastasis (4 papers)Computational Drug Discovery Methods (3 papers)
Partner nations
ItalyGermanyAustria

In The Last Decade

Michela Cortesi

23 papers receiving 646 citations

Peers

Michela Cortesi
Comparison fields: 5 of 90
  • Molecular Biology 291
  • Oncology 192
  • Biomedical Engineering 126
  • Pulmonary and Respiratory Medicine 98
  • Cancer Research 79
Replace Sara Pignatta with:
Sara Pignatta Italy
Christine R. Klaus Germany
Valentina Carbonaro United Kingdom
Dilshad H. Khan Canada
Tatsiana Kosciuk United States
Chun‐Peng Liao United States
Marieke Willemse Netherlands
Benedikt Linder Germany
Chongkui Sun China
Harvey E. Johnston United Kingdom
Michela Cortesi relative to Sara Pignatta Italy Sara Pignatta's profile →
Citations per field
00.5×1.5×
Sara Pignatta · 1×
Citations per year

Countries citing papers authored by Michela Cortesi

Since Specialization
Citations

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

Fields of papers citing papers by Michela Cortesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Cortesi

This figure shows the co-authorship network connecting the top 25 collaborators of Michela Cortesi. A scholar is included among the top collaborators of Michela Cortesi 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 Michela Cortesi. Michela Cortesi 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
#WorkIndexed citations
1 2
2 0
3 0
4 25
5 3
6 14
7 3
8 35
9 45
10 29
11 20
12 36
13 166
14 10
15 7
16 9
17 15
18 51
19 14
20 30

About Michela Cortesi

Michela Cortesi is a scholar working on Biological Psychiatry, Oncology and Cancer Research, having authored 25 papers that have together received 651 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (7 papers), Cancer Cells and Metastasis (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Oncology (192 citations), Physiology (29 citations) and Biological Psychiatry (15 citations). Michela Cortesi has collaborated with scholars based in Italy, Germany and Austria. Frequent co-authors include Michele Zanoni, Anna Tesei, Alice Zamagni, Chiara Arienti, Sara Pignatta, Sara Bravaccini, Daniela Rossi, Sara Ravaioli, Simona Collina and Marta Rui. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and International Journal of Molecular Sciences.

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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