Luigi Navas

22 papers receiving 262 citations

Peers

Luigi Navas
Comparison fields: 5 of 77
  • Immunology 58
  • Cancer Research 39
  • Oncology 67
  • Equine 4
  • Molecular Biology 104
Replace Taro Masaki with:
Taro Masaki Japan
Said M. Elshafae Egypt
Katharina Leucht Germany
Hongwei Pu China
Joanne Cox United Kingdom
Brigid Orr United Kingdom
Binggang Sun United States
Mirjam Kiener Switzerland
Lauren C. Binge Australia
Wing-Yee Chan Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Luigi Navas

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Navas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 201249
3 201225
4 201819
5 201215
6 201412
7 201611
8 20169
9 20119
10 20136
11 20035
12
Recurrent aseptic meningitis secondary to an intracranial cyst: a case report and review of clinical features and imaging modalities.
19925
13 20225
14 20063
15 20183
16 20232
17 20242
18
Incidence and risk factors associated with rhabdomyolysis in Italian Standardbred racehorses.
20112
19 20222
20 20221

About Luigi Navas

Luigi Navas is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 23 papers that have together received 269 indexed citations. Recurring topics across this work include Veterinary Oncology Research (3 papers), Virus-based gene therapy research (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Herpesvirus Infections and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Veterinary Equine Medical Research (2 papers). The work is most often cited by research in Immunology (58 citations), Cancer Research (39 citations), Oncology (67 citations), Equine (4 citations) and Molecular Biology (104 citations). Luigi Navas has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Massimo Zollo, Daniela De Martino, Valeria Di Dato, Natascia Marino, Daniela Spano, Lucia Liguori, Giuseppe Biondi, Viviana Vastolo, Angelo Guglielmotti and Beatrice Garrone. Their work appears in journals such as Animals, Veterinary Sciences, Clinical & Experimental Metastasis, Veterinary Research Communications and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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