Paolo Neviani

5.4k citations
52 papers · 3.1k indexed · h-index 22
Topics
Chronic Myeloid Leukemia Treatments (20 papers)Extracellular vesicles in disease (11 papers)MicroRNA in disease regulation (8 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Paolo Neviani

50 papers receiving 3.1k citations

Peers

Paolo Neviani
Comparison fields: 5 of 104
  • Molecular Biology 2.3k
  • Cancer Research 822
  • Hematology 786
  • Genetics 449
  • Immunology 435
Replace Kim De Keersmaecker with:
Kim De Keersmaecker Belgium
Kalindi Parmar United States
Maria Patrizia Stoppelli Italy
Sajani S. Lakka United States
Alison M. Michie United Kingdom
Dmitri Wiederschain United States
Elisabetta Rovida Italy
Barbara Muz United States
Ting-Lei Gu United States
Eline Menu Belgium
Paolo Neviani relative to Kim De Keersmaecker Belgium Kim De Keersmaecker's profile →
Citations per field
00.5×1.5×1.9×
Kim De Keersmaecker · 1×
Citations per year

Countries citing papers authored by Paolo Neviani

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Neviani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Neviani

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Neviani. A scholar is included among the top collaborators of Paolo Neviani 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 Paolo Neviani. Paolo Neviani 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 5
2 11
3 23
4 13
5 8
6 12
7 16
8 268
9 69
10 320
11 15
12 15
13 100
14 56
15 141
16 235
17 7
18 269
19 66
20 370

About Paolo Neviani

Paolo Neviani is a scholar working on Hematology, Genetics and Cancer Research, having authored 52 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (20 papers), Extracellular vesicles in disease (11 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Hematology (786 citations), Cancer Research (822 citations) and Genetics (449 citations). Paolo Neviani has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Danilo Perrotti, Muller Fabbri, Michael A. Caligiuri, Guido Marcucci, Rossana Trotta, Ramasamy Santhanam, Denis‐Claude Roy, Petra M. Wise, Mario Notari and Bradley W. Blaser. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and The Journal of Experimental Medicine.

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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