M Schena

32 papers receiving 845 citations

Peers

M Schena
Comparison fields: 5 of 78
  • Genetics 277
  • Otorhinolaryngology 72
  • Immunology and Allergy 95
  • Immunology 266
  • Hematology 116
Replace Ming Cao with:
Ming Cao United States
Jiayun Lu United States
Sana Yokoi Japan
Y Kanakura Japan
Sergei Syrbu United States
Daniela Medicina Italy
Nobuyuki Shitara Japan
Lisa Bonello Italy
Petra Reusch Germany
Consuelo D'Ambrosio United States
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Citations per field
00.5×2×4×6.9×
Ming Cao · 1×
Citations per year

Countries citing papers authored by M Schena

Since Specialization
Citations

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

Fields of papers citing papers by M Schena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992181
2 1989115
3 198897
4 198962
5 199560
6
Integrin distribution and cytoskeleton organization in normal and malignant monocytes.
199048
7 199935
8 201034
9 201634
10 199129
11
Cell-cell and cell-matrix adhesion structures may influence the growth pattern of chronic lymphoid malignancies.
198922
12 200021
13
Efficacy and feasibility of induction chemotherapy and radiotherapy plus cetuximab in head and neck cancer.
201219
14 199918
15
Interleukin-2 enhances the production of tumor necrosis factor-alpha in activated B-type chronic lymphocytic leukemia (B-CLL) cells.
199316
16 199213
17 198911
18 200410
19
C3b receptors mediate the growth factor-induced proliferation of malignant B-chronic lymphocytic leukemia lymphocytes.
19878
20 19926

About M Schena

M Schena is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Hematology and Molecular Biology, having authored 33 papers that have together received 874 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Head and Neck Cancer Studies (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Multiple Myeloma Research and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Genetics (277 citations), Otorhinolaryngology (72 citations), Immunology and Allergy (95 citations), Immunology (266 citations) and Hematology (116 citations). M Schena has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Federico Caligaris‐Cappio, Gianluca Gaïdano, L Bergui, Kenneth Nilsson, Mats Carlsson, F. Caligaris Cappio, Davide Gottardi, L Tesio, Ottavio Cremona and PC Marchisio. Their work appears in journals such as Blood, American Journal of Hypertension, Cancer Chemotherapy and Pharmacology, Current topics in microbiology and immunology and The Journal of Immunology.

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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