Massimo Morra

2.1k citations
21 papers · 1.5k · h-index 15

Impact in

  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 10
    • Immunodeficiency and Autoimmune Disorders 7
    • T-cell and B-cell Immunology 6
    • Toxin Mechanisms and Immunotoxins 2

Massimo Morra

20 papers receiving 1.5k citations

Peers

Massimo Morra
Comparison fields: 5 of 78
  • Physiology 295
  • Immunology 1.0k
  • Hematology 301
  • Sensory Systems 81
  • Oncology 276
Replace M. Morra with:
M. Morra United States
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Massimo Morra relative to M. Morra United States M. Morra's profile →
Citations per field
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M. Morra · 1×
Citations per year

Countries citing papers authored by Massimo Morra

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Morra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998299
2 1999206
3 2001171
4 2001119
5 199895
6 200194
7 200280
8 200176
9 199674
10 200565
11 200565
12 200154
13 201751
14 200036
15 200231
16 20088
17 20232
18 20082
19 20081
20 20181

About Massimo Morra

Massimo Morra is a scholar working on Immunology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunodeficiency and Autoimmune Disorders (7 papers), T-cell and B-cell Immunology (6 papers), Calcium signaling and nucleotide metabolism (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Viral-associated cancers and disorders (2 papers), Gastrointestinal disorders and treatments (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Physiology (295 citations), Immunology (1.0k citations), Hematology (301 citations), Sensory Systems (81 citations) and Oncology (276 citations). Massimo Morra has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Cox Terhorst, Joan Sayós, Fabio Malavasi, Duncan Howie, Cox Terhorst, Pablo Engel, Marı́a Simarro, Roberto Mallone, Elisabeth Prager and Clara Maria Ausiello. Their work appears in journals such as Blood, The Journal of Immunology, Cancer Research, Current Opinion in Immunology and Immunogenetics.

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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