Ada Congrains

876 total citations
14 papers, 687 citations indexed

About

Ada Congrains is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ada Congrains has authored 14 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Ada Congrains's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers) and Mycobacterium research and diagnosis (2 papers). Ada Congrains is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers) and Mycobacterium research and diagnosis (2 papers). Ada Congrains collaborates with scholars based in Japan, Brazil and France. Ada Congrains's co-authors include Hiromi Rakugi, Mitsuru Ohishi, Kei Kamide, Tomohiro Katsuya, Ryousuke Oguro, Kōichi Yamamoto, Osamu Yasuda, Ken Sugimoto, Keishi Miyata and Miyuki Onishi and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ada Congrains

12 papers receiving 674 citations

Peers

Ada Congrains
Meredith Whitehead United Kingdom
Sercan Ergün Türkiye
Marko Knoll United States
Chenqi Lu China
Ada Congrains
Citations per year, relative to Ada Congrains Ada Congrains (= 1×) peers Thomas Hackenbeck

Countries citing papers authored by Ada Congrains

Since Specialization
Citations

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

Fields of papers citing papers by Ada Congrains

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Congrains

This figure shows the co-authorship network connecting the top 25 collaborators of Ada Congrains. A scholar is included among the top collaborators of Ada Congrains 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 Ada Congrains. Ada Congrains is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Congrains, Ada, et al.. (2021). 3D Scaffolds to Model the Hematopoietic Stem Cell Niche: Applications and Perspectives. Materials. 14(3). 569–569. 23 indexed citations
2.
Azambuja, Juliana H., et al.. (2021). Artemisinins induce endoplasmic reticulum stress in acute leukaemia cells in vitro and in vivo. SHILAP Revista de lepidopterología. 2(4). 818–822. 3 indexed citations
3.
5.
Congrains, Ada, et al.. (2015). A Novel Antisense Long Noncoding RNA Modulates NR4A1 Protein Level in Myeloid Malignancies. Blood. 126(23). 2442–2442. 1 indexed citations
7.
Congrains, Ada, Kei Kamide, Mitsuru Ohishi, & Hiromi Rakugi. (2013). ANRIL: Molecular Mechanisms and Implications in Human Health. International Journal of Molecular Sciences. 14(1). 1278–1292. 187 indexed citations
8.
Congrains, Ada, Kei Kamide, Tomohiro Katsuya, et al.. (2012). CVD-associated non-coding RNA, ANRIL, modulates expression of atherogenic pathways in VSMC. Biochemical and Biophysical Research Communications. 419(4). 612–616. 118 indexed citations
9.
Congrains, Ada, Kei Kamide, Ryousuke Oguro, et al.. (2011). Genetic variants at the 9p21 locus contribute to atherosclerosis through modulation of ANRIL and CDKN2A/B. Atherosclerosis. 220(2). 449–455. 266 indexed citations
10.
Oguro, Ryosuke, Kei Kamide, Tomohiro Katsuya, et al.. (2011). A single nucleotide polymorphism of the adenosine deaminase, RNA-specific gene is associated with the serum triglyceride level, abdominal circumference, and serum adiponectin concentration. Experimental Gerontology. 47(2). 183–187. 19 indexed citations
11.
Oguro, Ryosuke, Kei Kamide, Yoshihiro Kokubo, et al.. (2010). Association of carotid atherosclerosis with genetic polymorphisms of the klotho gene in patients with hypertension. Geriatrics and gerontology international. 10(4). 311–318. 25 indexed citations
12.
Kamide, Kei, Mitsuru Ohishi, Tomohiro Katsuya, et al.. (2010). Association of gene polymorphism of the fat-mass and obesity-associated gene with insulin resistance in Japanese. Hypertension Research. 33(3). 214–218. 33 indexed citations
13.
Oguro, Ryosuke, Kei Kamide, Yoshihiro Kokubo, et al.. (2009). Abstract 2300: Association of Carotid Atherosclerosis With Genetic Polymorphisms of Klotho Gene in Patients With Hypertension and in the General Population. Circulation. 120. 1 indexed citations
14.
Akasaka, Hiroshi, Tomohiro Katsuya, Shigeyuki Saitoh, et al.. (2009). A Promoter Polymorphism of Lamin A/C Gene is an Independent Genetic Predisposition to Arterial Stiffness in a Japanese General Population (The Tanno and Sobetsu Study). Journal of Atherosclerosis and Thrombosis. 16(4). 404–409. 10 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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