Christine Abreu

899 citations
18 papers · 682 indexed · h-index 14
Topics
Fibroblast Growth Factor Research (7 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)TGF-β signaling in diseases (3 papers)
Partner nations
United StatesJapanItaly

In The Last Decade

Christine Abreu

17 papers receiving 667 citations

Peers

Christine Abreu
Comparison fields: 5 of 86
  • Molecular Biology 396
  • Genetics 138
  • Oncology 135
  • Physiology 85
  • Rheumatology 62
Replace Michelle L. Miller with:
Michelle L. Miller United States
Guillermo Barila United States
Elke Brylla Germany
Goichi Matsumoto Japan
Ola Grimsholm Sweden
Zhenghao Huo China
Angela Cadoni Italy
Joel R. Brody United States
Setsuko Mise‐Omata Japan
Xiujie Wen China
Christine Abreu relative to Michelle L. Miller United States Michelle L. Miller's profile →
Citations per field
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Michelle L. Miller · 1×
Citations per year

Countries citing papers authored by Christine Abreu

Since Specialization
Citations

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

Fields of papers citing papers by Christine Abreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Abreu

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 34
2
Differential proteomics in contrasting cowpea genotypes submitted to different water regimes.
1
3 6
4 36
5 97
6 28
7 15
8 20
9 49
10 21
11 2
12 15
13 40
14 18
15 19
16 99
17 180
18 2

About Christine Abreu

Christine Abreu is a scholar working on Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 18 papers that have together received 682 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Biological Psychiatry (23 citations), Microbiology (55 citations) and Urology (49 citations). Christine Abreu has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Marja M. Hurley, Lawrence G. Raisz, Barbara E. Kream, Alex Lichtler, John Harrison, Gloria Gronowicz, Jonathan Covault, Joseph Lorenzo, Hiroshi Kawaguchi and Henry R. Kranzler. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Endocrinology.

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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