Massimo Loda

80.2k total citations · 14 hit papers
469 papers, 40.1k citations indexed

About

Massimo Loda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Massimo Loda has authored 469 papers receiving a total of 40.1k indexed citations (citations by other indexed papers that have themselves been cited), including 239 papers in Molecular Biology, 182 papers in Pulmonary and Respiratory Medicine and 160 papers in Cancer Research. Recurrent topics in Massimo Loda's work include Prostate Cancer Treatment and Research (145 papers), Cancer, Lipids, and Metabolism (99 papers) and Cancer-related Molecular Pathways (53 papers). Massimo Loda is often cited by papers focused on Prostate Cancer Treatment and Research (145 papers), Cancer, Lipids, and Metabolism (99 papers) and Cancer-related Molecular Pathways (53 papers). Massimo Loda collaborates with scholars based in United States, Italy and United Kingdom. Massimo Loda's co-authors include Sabina Signoretti, William R. Sellers, Todd R. Golub, Shuji Ogino, Charles S. Fuchs, Christine Ladd, Eric S. Lander, Phillip G. Febbo, Michele Pagano and Giorgia Zadra and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Massimo Loda

458 papers receiving 39.4k citations

Hit Papers

Classification of human lung carcinomas by mRNA expressio... 1997 2026 2006 2016 2001 2002 2001 1997 1997 500 1000 1.5k

Peers

Massimo Loda
Comparison fields: 5 of 195
  • Molecular Biology 23.0k
  • Oncology 12.4k
  • Cancer Research 10.8k
  • Pulmonary and Respiratory Medicine 9.8k
  • Pathology and Forensic Medicine 5.4k
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Citations per field, relative to Massimo Loda
Massimo Loda · 1×
Citations per year, relative to Massimo Loda
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Countries citing papers authored by Massimo Loda

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Loda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Loda

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Loda. A scholar is included among the top collaborators of Massimo Loda 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 Loda. Massimo Loda 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 28
2 41
3 76
4 7
5 48
6 38
7
Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance breakdown →
680
8 47
9 41
10 52
11 18
12 27
13 85
14 139
15 184
16 80
17 48
18 20
19 267
20 121

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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