Vilma D. Mottironi
- Immunology top 10%
- Immune Response and Inflammation 2
- Mast cells and histamine 1
- Immunotoxicology and immune responses 1
- Equine top 5%
- Rheumatology top 5%
- Transplantation top 10%
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- Radiopharmaceutical Chemistry and Applications 1
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- Hematopoietic Stem Cell Transplantation 3
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- Lymphoma Diagnosis and Treatment 2
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- Glycosylation and Glycoproteins Research 1
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- Virus-based gene therapy research 1
- Co-authors
- Paul I. TerasakiEugene V. BarnettUlrich H. RudofskyA E GabrielsenB D EvansDouglas F. AntczakErnest BaileyCarol R. Wyatt
- Cited by
- ImmunologyEquineRheumatology
- Journals
- New England Journal of Medicine (1 paper)Transplantation (3 papers)Veterinary Immunology and Immunopathology (1 paper)
- Partner nations
- United States
In The Last Decade
Vilma D. Mottironi
12 papers receiving 457 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Immunology 361
- Equine 23
- Rheumatology 203
- Transplantation 26
- Radiology, Nuclear Medicine and Imaging 124
Countries citing papers authored by Vilma D. Mottironi
This map shows the geographic impact of Vilma D. Mottironi'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 Vilma D. Mottironi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vilma D. Mottironi more than expected).
Fields of papers citing papers by Vilma D. Mottironi
This network shows the impact of papers produced by Vilma D. Mottironi. 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 Vilma D. Mottironi. The network helps show where Vilma D. Mottironi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vilma D. Mottironi, 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 | Differences in expression of lupus nephritis in New Zealand mixed H-2z homozygous inbred strains of mice derived from New Zealand black and New Zealand white mice. Origins and initial characterization. | 1993 | 99 |
| 2 | 1987 | 11 | |
| 3 | 1987 | 11 | |
| 4 | 1986 | 14 | |
| 5 | 1986 | 32 | |
| 6 | 1984 | 23 | |
| 7 | Decreased HLA heterogeneity in parents of children with Down syndrome. | 1983 | 13 |
| 8 | 1981 | 10 | |
| 9 | 1978 | 1 | |
| 10 | 1977 | 2 | |
| 11 | 1973 | 2 | |
| 12 | Cytotoxins in Diseasebreakdown → | 1970 | 311 |
About Vilma D. Mottironi
Vilma D. Mottironi is a scholar working on Transplantation, Equine and Immunology, having authored 12 papers that have together received 529 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Immune Response and Inflammation (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Glycosylation and Glycoproteins Research (1 paper), Mast cells and histamine (1 paper), Virus-based gene therapy research (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Immunotoxicology and immune responses (1 paper). The work is most often cited by research in Immunology (361 citations), Equine (23 citations) and Rheumatology (203 citations). Vilma D. Mottironi has collaborated with scholars based in United States. Frequent co-authors include Paul I. Terasaki, Eugene V. Barnett, Ulrich H. Rudofsky, A E Gabrielsen, B D Evans, Douglas F. Antczak, Ernest Bailey, Carol R. Wyatt, Nancy S. Magnuson and D Bernoco. Their work appears in journals such as New England Journal of Medicine, Transplantation and Veterinary Immunology and Immunopathology.
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.