Mario D’Costa

1.3k citations
44 papers · 1.0k indexed · h-index 20

Impact in

Papers in

Mario D’Costa

43 papers receiving 958 citations

Peers

Mario D’Costa
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 189
  • Pulmonary and Respiratory Medicine 228
  • Nutrition and Dietetics 106
  • Genetics 70
  • Endocrine and Autonomic Systems 42
Replace Luis F. Carbonell with:
Luis F. Carbonell Spain
Toshiki Sudo Japan
Michiko Ito Japan
Bin Wu China
Ronald W. Walenga United States
Makiko Yamamoto Japan
Lars Bellner United States
Momtaz K. Wassef United States
Melanie Stables United Kingdom
U.R. Fölsch Germany
Mario D’Costa relative to Luis F. Carbonell Spain Luis F. Carbonell's profile →
Citations per field
00.5×1.5×
Luis F. Carbonell · 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-authorship network

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
#Work
1 20240
2 200843
3 19993
4 19989
5 199740
6 199723
7 19976
8
Expression of the prostate specific antigen gene by lung tissue.
19979
9 199621
10 199530
11 19936
12 199230
13 199021
14 199039
15 19904
16 198822
17 198814
18
Improved receptor assay for measuring digoxin activity.
198815
19 198714
20 197546

About Mario D’Costa

Mario D’Costa is a scholar working on Endocrine and Autonomic Systems, Clinical Biochemistry, Aging, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (7 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Metabolism and Genetic Disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Neuroscience of respiration and sleep (4 papers), Prostate Cancer Treatment and Research (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Pulmonary and Respiratory Medicine (228 citations), Nutrition and Dietetics (106 citations), Genetics (70 citations) and Endocrine and Autonomic Systems (42 citations). 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, Steve Hanson, Randie R. Little, William E. Owen, William L. Roberts and Curt L. Rohlfing. Their work appears in journals such as Clinical Chemistry, Journal of Insect Physiology, American Journal of Clinical Pathology, 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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