Mario D’Costa

43 papers receiving 958 citations

Peers

Mario D’Costa
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 153
  • Nutrition and Dietetics 98
  • Pulmonary and Respiratory Medicine 183
  • Genetics 60
  • Drug Discovery 1
Replace Toshiki Sudo with:
Toshiki Sudo Japan
Michiko Ito Japan
Makiko Yamamoto Japan
Wirnt Rick Germany
Midori Masuda Japan
David M. Cauvi United States
Ana C. Moreira Portugal
Ronald W. Walenga United States
Bin Wu China
Eva M. Sturm Austria
Mario D’Costa relative to Toshiki Sudo Japan Toshiki Sudo's profile →
Citations per field
00.5×3.6×
Toshiki Sudo · 1×
Citations per year

Countries citing papers authored by Mario D’Costa

Since Specialization
Citations

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

Fields of papers citing papers by Mario D’Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario D’Costa. 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 Mario D’Costa. The network helps show where Mario D’Costa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995107
2 200887
3 199659
4 199048
5 196648
6 197546
7 200843
8 198340
9 199740
10 200340
11 199039
12 197935
13 200035
14 200333
15 199529
16 199228
17 198822
18 199722
19 199621
20 199021

About Mario D’Costa

Mario D’Costa is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Insect Science, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Prostate Cancer Treatment and Research (4 papers), Neuroscience of respiration and sleep (4 papers), Metabolism and Genetic Disorders (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (153 citations), Nutrition and Dietetics (98 citations), Pulmonary and Respiratory Medicine (183 citations), Genetics (60 citations) and Drug Discovery (1 citation). Mario D’Costa has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Eleftherios P. Diamandis, Michael A. Levesque, A. Ángel, L.M. Birt, Pei‐Tak Cheng, William L. Roberts, Randie R. Little, Curt L. Rohlfing, Verónica Luzzi and William E. Owen. Their work appears in journals such as Clinical Chemistry, American Journal of Clinical Pathology, Journal of Insect Physiology, Clinical Biochemistry and The Journal of Urology.

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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