Mario Rossi

4.1k citations
63 papers · 3.2k indexed · h-index 29

Impact in

Papers in

    • Cancer-related Molecular Pathways 14
    • Neutropenia and Cancer Infections 8
    • Hematopoietic Stem Cell Transplantation 5

Mario Rossi

62 papers receiving 3.1k citations

Peers

Mario Rossi
Comparison fields: 5 of 108
  • Oncology 1.3k
  • Biotechnology 300
  • Cell Biology 529
  • Molecular Biology 2.1k
  • Cancer Research 334
Replace Lakshmi Rao with:
Lakshmi Rao India
Tapan K. Bera United States
Maurizio Zanetti United States
Barry J. Sugarman United States
Edmund C. Lattime United States
Sharon Bodrug United States
J. S. Rhim United States
Christian Parr United Kingdom
Melanie R. Rutkowski United States
Yoshio Endo Japan
Mario Rossi relative to Lakshmi Rao India Lakshmi Rao's profile →
Citations per field
00.5×7.7×
Lakshmi Rao · 1×
Citations per year

Countries citing papers authored by Mario Rossi

Since Specialization
Citations

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

Fields of papers citing papers by Mario Rossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20231
3 20232
4 202212
5 202111
6 202119
7 20212
8 202018
9 201614
10 201660
11 201343
12 201363
13 2006104
14 2006111
15 200530
16 200344
17 2001352
18 199543
19 19958
20 19917

About Mario Rossi

Mario Rossi is a scholar working on Oncology, Hematology, Biotechnology, Molecular Biology and Cancer Research, having authored 63 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (14 papers), Neutropenia and Cancer Infections (8 papers), Acute Lymphoblastic Leukemia research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cancer Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Oncology (1.3k citations), Biotechnology (300 citations), Cell Biology (529 citations), Molecular Biology (2.1k citations) and Cancer Research (334 citations). Mario Rossi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gerry Melino, Eliana Munarriz, Gianni Cesareni, Richard A. Knight, Moshe Oren, Sabrina Strano, Giovanni Blandino, Ada Sacchi, Luisa Castagnoli and Yosef Shaul. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Pediatric Infectious Disease Journal, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Molecular Cell.

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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