Cristina Tănăseanu

703 citations
11 papers · 258 indexed · h-index 7

Cristina Tănăseanu

11 papers receiving 247 citations

Peers

Cristina Tănăseanu
Comparison fields: 5 of 57
  • Molecular Medicine 81
  • Applied Microbiology and Biotechnology 31
  • Clinical Biochemistry 39
  • Pharmacology 73
  • Epidemiology 98
Replace Theodoros Pittaras with:
Theodoros Pittaras Greece
Jon Hiles United States
Sami Uzun Türkiye
Matthieu Legrand France
Jiha Lee United States
Yanqiu Gao China
María Hernández‐Tejero Spain
M. Weiss United States
Yoann Zerbib France
Xiaochun Ma China
Cristina Tănăseanu relative to Theodoros Pittaras Greece Theodoros Pittaras's profile →
Citations per field
00.5×2.9×
Theodoros Pittaras · 1×
Citations per year

Countries citing papers authored by Cristina Tănăseanu

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Tănăseanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20152
2 20151
3
PI3K/Akt signaling in peripheral T lymphocytes from systemic lupus erythematosus patients.
201024
4 200940
5 200815
6 200893
7 200538
8 20044
9
Clinical particularities in a Romanian series of Behcet's disease patients.
20037
10 200231
11 20013

About Cristina Tănăseanu

Cristina Tănăseanu is a scholar working on Molecular Medicine, Pharmacology and Epidemiology, having authored 11 papers that have together received 258 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Antibiotic Resistance in Bacteria (2 papers), Systemic Lupus Erythematosus Research (2 papers), Apelin-related biomedical research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Molecular Medicine (81 citations), Applied Microbiology and Biotechnology (31 citations) and Clinical Biochemistry (39 citations). Cristina Tănăseanu has collaborated with scholars based in Romania, Argentina and Ukraine. Frequent co-authors include E Moldoveanu, C. Angel Cooper, Nathalie Dartois, Hassan Gandjini, Tetsuya Kosaka, Daciana Marta, Abel Jasovich, Rajiv Mallick, María Eugenia Oliva and Gary Dukart. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Clinical Biochemistry and Diagnostic Microbiology and Infectious Disease.

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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