Eva Maria Cutiongco

427 total citations
7 papers, 327 citations indexed

About

Eva Maria Cutiongco is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eva Maria Cutiongco has authored 7 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eva Maria Cutiongco's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Eva Maria Cutiongco is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Eva Maria Cutiongco collaborates with scholars based in Philippines, Canada and United States. Eva Maria Cutiongco's co-authors include Rosanna Weksberg, Karen W. Gripp, Adam C. Smith, Aleksander Hinek, John W. Callahan, Elaine Kwan, Cynthia A. Mapua, Alexander Liede, Steven A. Narod and Åke Borg and has published in prestigious journals such as The American Journal of Human Genetics, International Journal of Cancer and American Journal of Medical Genetics.

In The Last Decade

Eva Maria Cutiongco

7 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Maria Cutiongco Philippines 7 180 168 52 42 36 7 327
Victoria C. O׳Reilly Australia 7 117 0.7× 219 1.3× 79 1.5× 35 0.8× 47 1.3× 8 365
E. Vámos Belgium 11 205 1.1× 156 0.9× 78 1.5× 26 0.6× 111 3.1× 23 420
Philip N. Mowrey United States 11 232 1.3× 162 1.0× 38 0.7× 33 0.8× 134 3.7× 22 436
Elisabeth Steichen Austria 9 197 1.1× 255 1.5× 100 1.9× 33 0.8× 41 1.1× 13 447
Azmy M. Al-Hadidy Jordan 9 89 0.5× 94 0.6× 49 0.9× 22 0.5× 18 0.5× 21 274
Prajnya Ranganath India 11 115 0.6× 150 0.9× 40 0.8× 41 1.0× 32 0.9× 56 367
Janet M. Legare United States 9 176 1.0× 115 0.7× 50 1.0× 11 0.3× 32 0.9× 27 269
Güven Toksoy Türkiye 12 116 0.6× 185 1.1× 56 1.1× 23 0.5× 57 1.6× 51 353
Gabriele Krüger Germany 10 146 0.8× 163 1.0× 68 1.3× 10 0.2× 41 1.1× 19 389
Nabil Kaci France 10 316 1.8× 355 2.1× 31 0.6× 18 0.4× 14 0.4× 18 487

Countries citing papers authored by Eva Maria Cutiongco

Since Specialization
Citations

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

Fields of papers citing papers by Eva Maria Cutiongco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maria Cutiongco. 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 Eva Maria Cutiongco. The network helps show where Eva Maria Cutiongco may publish in the future.

Co-authorship network of co-authors of Eva Maria Cutiongco

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maria Cutiongco. A scholar is included among the top collaborators of Eva Maria Cutiongco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Maria Cutiongco. Eva Maria Cutiongco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Sy, Rody G., et al.. (2007). Human Cholestryl Ester Transfer Protein (TaqIB) Polymorphism among Filipinos with Cardiovascular Risk Factors. Journal of Atherosclerosis and Thrombosis. 14(3). 116–121. 10 indexed citations
2.
Punzalan, Felix Eduardo R., et al.. (2005). Low Density Lipoprotein - Receptor (LDL-R) Gene Mutations among Filipinos with Familial Hypercholesterolemia. Journal of Atherosclerosis and Thrombosis. 12(5). 276–283. 23 indexed citations
3.
Padilla, Carmencita D., et al.. (2003). Birth defects ascertainment in the Philippines.. PubMed. 34 Suppl 3. 239–43. 15 indexed citations
4.
Liede, Alexander, Elaine Kwan, Cynthia A. Mapua, et al.. (2002). BRCA1 and BRCA2 mutations among breast cancer patients from the Philippines. International Journal of Cancer. 98(4). 596–603. 80 indexed citations
5.
Li, Madeline, Cheryl Shuman, Eva Maria Cutiongco, et al.. (2001). GPC3 mutation analysis in a spectrum of patients with overgrowth expands the phenotype of Simpson-Golabi-Behmel syndrome. American Journal of Medical Genetics. 102(2). 161–168. 87 indexed citations
6.
Hinek, Aleksander, Adam C. Smith, Eva Maria Cutiongco, et al.. (2000). Decreased Elastin Deposition and High Proliferation of Fibroblasts from Costello Syndrome Are Related to Functional Deficiency in the 67-kD Elastin-Binding Protein. The American Journal of Human Genetics. 66(3). 859–872. 99 indexed citations
7.
Cutiongco, Eva Maria, et al.. (1999). Screening for congenital hypothyroidism (CH) among Filipino newborn infants. Philippine Newborn Screening Study Group.. PubMed. 30 Suppl 2. 20–2. 13 indexed citations

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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