Vanda Pinto

915 citations
23 papers · 630 · h-index 14

Impact in

    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction

Papers in

    • Ion Transport and Channel Regulation 6
    • Glycosylation and Glycoproteins Research 4
    • Epigenetics and DNA Methylation 2
    • Amino Acid Enzymes and Metabolism 6

Vanda Pinto

23 papers receiving 620 citations

Peers

Vanda Pinto
Comparison fields: 5 of 90
  • Immunology 161
  • Aging 12
  • Nephrology 40
  • Biochemistry 40
  • Molecular Biology 373
Replace Norma B. Sterin‐Speziale with:
Norma B. Sterin‐Speziale Argentina
Bodo Brunner Germany
Miyuki Nagasaki Japan
Xiaojing Sun China
Xuefeng Su United States
Anna Zborek Poland
Xunsheng Chen United States
Pegah Poursharifi Canada
Mi Nam Lee South Korea
Liping Li China
Vanda Pinto relative to Norma B. Sterin‐Speziale Argentina Norma B. Sterin‐Speziale's profile →
Citations per field
00.5×2.8×
Norma B. Sterin‐Speziale · 1×
Citations per year

Countries citing papers authored by Vanda Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Vanda Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vanda Pinto, 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 Vanda Pinto Line = papers co-authored together Vanda Pinto 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 2018102
2 2006101
3 201886
4 200952
5 200735
6 201334
7 201232
8 201131
9 201229
10 202327
11 201817
12 201617
13 200715
14 197814
15 201113
16 20109
17 20214
18 20123
19 20093
20 20102

About Vanda Pinto

Vanda Pinto is a scholar working on Molecular Biology, Biochemistry, Clinical Biochemistry, Immunology and Physiology, having authored 23 papers that have together received 630 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (6 papers), Ion Transport and Channel Regulation (6 papers), Metabolism and Genetic Disorders (5 papers), Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers), Pancreatic function and diabetes (2 papers), Epigenetics and DNA Methylation (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Immunology (161 citations), Aging (12 citations), Nephrology (40 citations), Biochemistry (40 citations) and Molecular Biology (373 citations). Vanda Pinto has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include Patrício Soares‐da‐Silva, Maria João Pinho, Deborah M. Power, João C. R. Cardoso, Melody S. Clark, Florbela A Vieira, Inês Alves, Salomé S. Pinho, Ana M. Dias and Márcia S. Pereira. Their work appears in journals such as Experimental Gerontology, The FASEB Journal, BMC Evolutionary Biology, Scientific Reports and Thrombosis 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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