Maria Lattanzi

2.2k citations
37 papers · 1.6k indexed · 1 hit paper · h-index 19

Maria Lattanzi

36 papers receiving 1.6k citations

Hit Papers

mTOR inhibition improves immune function in the elderly5632014202620182022100200300400500

Peers

Maria Lattanzi
Comparison fields: 5 of 97
  • Aging 167
  • Epidemiology 913
  • Infectious Diseases 432
  • Immunology 470
  • Microbiology 85
Replace Douglas C. Powers with:
Douglas C. Powers United States
Subhasis Mohanty United States
Samit R. Joshi United States
Hitesh Deshmukh United States
Valerie A. C. M. Koeken Netherlands
Sara Ferrando‐Martínez Spain
Christa E. van der Gaast‐de Jongh Netherlands
Rob J.W. Arts Netherlands
Ilka Engelmann France
Emanuelle Trannoy France
Maria Lattanzi relative to Douglas C. Powers United States Douglas C. Powers's profile →
Citations per field
00.5×10.8×
Douglas C. Powers · 1×
Citations per year

Countries citing papers authored by Maria Lattanzi

Since Specialization
Citations

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

Fields of papers citing papers by Maria Lattanzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20231
4 20222
5 202042
6 20199
7 201615
8 201511
9 201511
10 201410
11 20139
12 201218
13 201221
14 201224
15 2010117
16 200929
17 200962
18 200961
19 20044
20 200313

About Maria Lattanzi

Maria Lattanzi is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (18 papers), Respiratory viral infections research (14 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Pneumonia and Respiratory Infections (7 papers), Immune Response and Inflammation (4 papers), Streptococcal Infections and Treatments (4 papers), Bacterial Infections and Vaccines (4 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Aging (167 citations), Epidemiology (913 citations) and Infectious Diseases (432 citations). Maria Lattanzi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppe Del Giudice, Anne Katrin Hilbert, Jens Præstgaard, Nicholas M. Valiante, Baisong Huang, Holden T. Maecker, David J. Glass, Michael A. Lonetto, Lloyd B. Klickstein and John M. Kovarik. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, Antimicrobial Agents and Chemotherapy, Science Translational Medicine and The Pediatric Infectious Disease Journal.

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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