Giuseppe Lamorte

5.0k citations
44 papers · 2.5k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Giuseppe Lamorte

44 papers receiving 2.4k citations

Hit Papers

Bone morphogenetic proteins inhibit the tumorigenic potential of human brain tumour-initiating cells 2006 · 914 citations
9142006202620122019250500750

Peers

Giuseppe Lamorte
Comparison fields: 5 of 104
  • Developmental Neuroscience 272
  • Genetics 526
  • Oncology 804
  • Cancer Research 441
  • Molecular Biology 1.5k
Replace Erik J. Uhlmann with:
Erik J. Uhlmann United States
Meena Gujrati United States
Federica Pisati Italy
Joseph H. McCarty United States
Stephen Meek United Kingdom
Jong Wook Chang South Korea
Lin Cheng China
Tomoyuki Masuda Japan
Peter Pytel United States
Hideaki Yokoo Japan
Giuseppe Lamorte relative to Erik J. Uhlmann United States Erik J. Uhlmann's profile →
Citations per field
00.5×3.1×
Erik J. Uhlmann · 1×
Citations per year

Countries citing papers authored by Giuseppe Lamorte

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Lamorte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202132
3 20193
4 20182
5 20181
6 20181
7 20182
8 20186
9 20183
10 20181
11 201664
12 2012169
13 201235
14 201215
15 201222
16 201115
17 2007113
18 200669
19
Inhibition of monocyte chemotaxis to c-c chemokines by antisense oligonucleotide for cytosolic phospholipase A2 (cPLA2)
19966
20 199656

About Giuseppe Lamorte

Giuseppe Lamorte is a scholar working on Developmental Neuroscience, Genetics, Neurology, Hematology and Oncology, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Chemokine receptors and signaling (4 papers), Muscle Physiology and Disorders (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Developmental Neuroscience (272 citations), Genetics (526 citations), Oncology (804 citations), Cancer Research (441 citations) and Molecular Biology (1.5k citations). Giuseppe Lamorte has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Angelo L. Vescovi, Elena Binda, Brent A. Reynolds, Francesco DiMeco, Nadia Zanetti, Henry Brem, Sara Piccirillo, Giovanni Broggi, Alessandro Olivi and Lidia De Filippis. Their work appears in journals such as Stem Cell Research, British Journal of Haematology, International Journal of Cancer, Cell Death and Differentiation and Clinical Cancer Research.

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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