M. Morra
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- Calcium signaling and nucleotide metabolism 4
- Adenosine and Purinergic Signaling 1
-
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 3
- T-cell and B-cell Immunology 3
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Cox TerhorstDeonie AllenGregorio AversaMaria‐Grazia RoncaroloRaif S. GehaFabio MalavasiChengbin WuJoan Sayós
- Journals
- The EMBO Journal (1 paper)Nature (1 paper)Journal of Clinical Investigation (1 paper)Haematologica (1 paper)International Immunology (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
M. Morra
9 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Physiology 244
- Immunology 918
- Hematology 277
- Sensory Systems 61
- Oncology 320
Countries citing papers authored by M. Morra
This map shows the geographic impact of M. 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 M. Morra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Morra more than expected).
Fields of papers citing papers by M. Morra
This network shows the impact of papers produced by M. 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 M. Morra. The network helps show where M. Morra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Morra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pillars Article: The X-Linked Lymphoproliferative Disease Gene Product SAP Regulates Signals Induced through the Co-Receptor SLAM. Nature. 1998. 395: 462-469. | 2017 | 0 |
| 2 | 2011 | 21 | |
| 3 | 2009 | 30 | |
| 4 | 2002 | 12 | |
| 5 | 2001 | 123 | |
| 6 | The X-linked lymphoproliferative-disease gene product SAP regulates signals induced through the co-receptor SLAM Hit paper breakdown → | 1998 | 746 |
| 7 | 1998 | 32 | |
| 8 | Human CD38 (ADP-ribosyl cyclase) is a counter-receptor of CD31, an Ig superfamily member. | 1998 | 314 |
| 9 | Functional associations of CD38 with CD3 on the T-cell membrane. | 1998 | 17 |
| 10 | 1997 | 59 |
About M. Morra
M. Morra is a scholar working on Physiology, Immunology, Toxicology, Sensory Systems and Genetics, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), T-cell and B-cell Immunology (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Adenosine and Purinergic Signaling (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Physiology (244 citations), Immunology (918 citations), Hematology (277 citations), Sensory Systems (61 citations) and Oncology (320 citations). M. Morra has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Cox Terhorst, Deonie Allen, Gregorio Aversa, Maria‐Grazia Roncarolo, Raif S. Geha, Fabio Malavasi, Chengbin Wu, Joan Sayós, Luigi D. Notarangelo and J E de Vries. Their work appears in journals such as The EMBO Journal, Nature, Journal of Clinical Investigation, Haematologica and International 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.