Lia Savu

1.1k total citations
47 papers, 899 citations indexed

About

Lia Savu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Lia Savu has authored 47 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Lia Savu's work include Estrogen and related hormone effects (11 papers), Thyroid Disorders and Treatments (9 papers) and Hormonal and reproductive studies (7 papers). Lia Savu is often cited by papers focused on Estrogen and related hormone effects (11 papers), Thyroid Disorders and Treatments (9 papers) and Hormonal and reproductive studies (7 papers). Lia Savu collaborates with scholars based in France, United States and Netherlands. Lia Savu's co-authors include E.A. Nunez, C. Benassayag, Roger Vranckx, G. Vallette, M F Jayle, N. Christeff, Max‐Fernand Jayle, O Crépy, Christian Lombart and Nunez Ea and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Lia Savu

47 papers receiving 828 citations

Peers

Lia Savu
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 351
  • Molecular Biology 294
  • Genetics 181
  • Health, Toxicology and Mutagenesis 118
  • Behavioral Neuroscience 103
Replace Max H. Cake with:
Max H. Cake Australia
Oleg A. Strel'chyonok Belarus
Arnold J. Eisenfeld United States
WILLIAM J. RAYMOURE United States
Diégo Bellabarba Canada
Christine Mercier-Bodard France
William H. Pearlman United States
C. Sumida France
Shih-Lieh Fang United States
Atif M. Nakhla United States
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Citations per field, relative to Lia Savu
Lia Savu · 1×
Citations per year, relative to Lia Savu
Lia Savu · 1×

Countries citing papers authored by Lia Savu

Since Specialization
Citations

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

Fields of papers citing papers by Lia Savu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lia Savu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 15
2 31
3 19
4 7
5 32
6 31
7 15
8 13
9 11
10 18
11 18
12 7
13 32
14
[Demonstration and ontogenesis in the rat of a serum protein analogous to human thyroxine binding globulin].
1
15 23
16 16
17 13
18 23
19 1
20 38

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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