Science Explorer Back to mapMap
Discussion
Researcher · Mario Negri Institute for Pharmacological Research · Italy

Massimo Porro

Massimo Porro publishes mostly in Immunology, Microbiology and Molecular Biology, on topics such as Immune Response and Inflammation, Bacterial Infections and Vaccines and Pneumonia and Respiratory Infections.

OpenAlex
World rank
#3,447,779
of 7,710,434 ranked researchers
Rank in Italy
#116,866
of 242,206
Works
26
Citations
758
Citations per work
29.2
h-index
11
i10-index 11Top 68% in Immunology
Massimo Porro

What does Massimo Porro research?

Massimo Porro's work is mostly in Immunology and Microbiology (34%), Biochemistry, Genetics and Molecular Biology (15%), Medicine (9%).

Life Sciences: 14 works · 53.7% of their workImmunology and Microbiology: 9 works · 34.3% of their workImmunology: 5 works · 17.9% of their workMicrobiology: 4 works · 16.4% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 14.9% of their workMolecular Biology: 4 works · 14.9% of their workAgricultural and Biological Sciences: 1 works · 4.5% of their workFood Science: 1 works · 4.5% of their workEverything else: 8 works · 31.3% of their workHealth Sciences: 2 works · 9.0% of their workMedicine: 2 works · 9.0% of their workEpidemiology: 2 works · 9.0% of their workPhysical Sciences: 2 works · 6.0% of their workChemistry: 2 works · 6.0% of their workSpectroscopy: 2 works · 6.0% of their workTHEIR WORKMassimo Porro26works
Life Sciences54%Physical Sciences6%Health Sciences9%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Immunology and Microbiology934.3%
    2. Biochemistry, Genetics and Molecular Biology414.9%
    3. Agricultural and Biological Sciences14.5%
  2. Everything else831.3%
    1. Medicine29.0%
    1. Chemistry26.0%
  1. 1Immunology18% of their works
  2. 2Microbiology16% of their works
  3. 3Molecular Biology15% of their works
  4. 4Epidemiology9% of their works
  5. 5Spectroscopy6% of their works
  6. 6Food Science4% of their works

Research topics

Which keywords describe Massimo Porro's research?

The keywords of their largest research topics: Epidemiology, Bacterial Meningitis, Glycosylation, Immune Modulation, Neisseria meningitidis, Pattern Recognition Receptors, Toll-like Receptors and Community-Acquired Pneumonia.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Epidemiology122 topics
  2. Bacterial Meningitis71 topic
  3. Glycosylation72 topics
  4. Immune Modulation72 topics
  5. Neisseria meningitidis71 topic
  6. Pattern Recognition Receptors71 topic
  7. Toll-like Receptors71 topic
  8. Community-Acquired Pneumonia51 topic
  9. Pneumococcal Conjugate Vaccine51 topic
  10. Antimicrobial Peptides41 topic
  11. Cancer41 topic
  12. Glycans41 topic
  13. Host Defense41 topic
  14. Fc Receptors31 topic
  15. Immunotoxin31 topic
  16. Prebiotics31 topic
  17. Probiotics31 topic
  18. Ricin Poisoning31 topic
  19. Therapeutic Antibodies31 topic

Where does Massimo Porro work?

Massimo Porro's main affiliation in the publication record is Mario Negri Institute for Pharmacological Research, Italy.

How many publications and citations does Massimo Porro have?

OpenAlex counts 26 works and 758 citations for Massimo Porro, an h-index of 11, ranking #3,447,779 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Massimo Porro. Posts are plain text and can be reported.