M. Da Costa

580 citations
22 papers · 393 · h-index 10

Impact in

Papers in

M. Da Costa

21 papers receiving 383 citations

Peers

M. Da Costa
Comparison fields: 5 of 66
  • Hepatology 83
  • Transplantation 21
  • Immunology 76
  • Epidemiology 95
  • Cancer Research 38
Replace Zhifeng Xi with:
Zhifeng Xi China
Shingo Shimada Japan
Maria Francesca Secchi Italy
Yan‐Fang Xing China
B. Tanner Germany
Marlena Messer Germany
Fiona S. Smith United Kingdom
Xinxia Feng China
Frank Seebach United States
Babar Bashir United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Da Costa

Since Specialization
Citations

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

Fields of papers citing papers by M. Da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Da 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 M. Da Costa. The network helps show where M. Da Costa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999125
2 200663
3
Rapamycin in experimental renal allografts in dogs and pigs.
199036
4 200228
5 200625
6 200324
7
Referral patterns and waiting times for liver transplantation in Singapore.
200619
8 200615
9 200413
10 200211
11 20218
12 20058
13 20094
14
Long-term results of liver transplant in patients with chronic viral hepatitis-related liver disease in Singapore.
20063
15 20053
16
Long-term post-liver transplant complications of renal impairment and diabetes mellitus: data from Singapore.
20062
17 20022
18 20201
19 20041
20
The anti-tumour efficacy of taurine and recombinant interleukin-2 in vivo
19951

About M. Da Costa

M. Da Costa is a scholar working on Surgery, Molecular Biology, Epidemiology, Cell Biology and Cancer Research, having authored 22 papers that have together received 393 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Liver Disease and Transplantation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Hepatology (83 citations), Transplantation (21 citations), Immunology (76 citations), Epidemiology (95 citations) and Cancer Research (38 citations). M. Da Costa has collaborated with scholars based in Singapore, Brazil and Ireland. Frequent co-authors include H. P. Redmond, D. J. Bouchier‐Hayes, E. Kay, Judith H. Harmey, Graham P. Pidgeon, Seng Gee Lim, D.S. Sutedja, K. Prabhakaran, Chun‐Tao Wai and Aileen Wee. Their work appears in journals such as Liver International, Liver Transplantation, Inflammation Research, Gene Therapy and Transplantation.

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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