Massimo Maria Grassi

665 total citations
16 papers, 414 citations indexed

About

Massimo Maria Grassi is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Massimo Maria Grassi has authored 16 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Massimo Maria Grassi's work include Cancer survivorship and care (5 papers), Breast Cancer Treatment Studies (4 papers) and BRCA gene mutations in cancer (2 papers). Massimo Maria Grassi is often cited by papers focused on Cancer survivorship and care (5 papers), Breast Cancer Treatment Studies (4 papers) and BRCA gene mutations in cancer (2 papers). Massimo Maria Grassi collaborates with scholars based in Italy, United States and Belgium. Massimo Maria Grassi's co-authors include B Salvadori, F Cusumano, Roberto Saccozzi, Salvatore Andreola, Dario Rovini, Vincenzo Delledonne, Claudio Clemente, L. Pardi, A. Manzari and Sergio Orefice and has published in prestigious journals such as Cancer, Cellular and Molecular Life Sciences and European Journal of Cancer.

In The Last Decade

Massimo Maria Grassi

15 papers receiving 395 citations

Peers

Massimo Maria Grassi
Comparison fields: 5 of 68
  • Dermatology 246
  • Pathology and Forensic Medicine 229
  • Cancer Research 150
  • Surgery 95
  • Public Health, Environmental and Occupational Health 87
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Citations per field, relative to Massimo Maria Grassi
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Citations per year, relative to Massimo Maria Grassi
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Countries citing papers authored by Massimo Maria Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Maria Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Maria Grassi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Maria Grassi. A scholar is included among the top collaborators of Massimo Maria Grassi 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 Maria Grassi. Massimo Maria Grassi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 2
5 8
6 9
7 8
8 1
9 8
10
[MDR (multidrug resistance) in hepatocarcinoma clinical-therapeutic implications].
20
11 88
12
Surgery for local recurrences following deficient radical mastectomy for breast cancer: a selected series of 39 cases.
5
13
Microscopic invasion of the skin and nipple in breast cancer
0
14 204
15 17
16 39

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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