Georgiana Nițulescu

1.3k citations
28 papers · 819 indexed · h-index 13

Georgiana Nițulescu

25 papers receiving 803 citations

Peers

Georgiana Nițulescu
Comparison fields: 5 of 105
  • Biochemistry 55
  • Infectious Diseases 108
  • Molecular Biology 376
  • Pharmacology 44
  • Pharmacology 78
Replace W.S. Daniel Tan with:
W.S. Daniel Tan Singapore
Yu‐Ling Tsai Taiwan
Hee-Kyoung Kang South Korea
Hemanth Kumar Kandikattu United States
Rasika R. Hudlikar United States
Bianca Altrão Ratti Brazil
Hsiao‐Chen Dina Kuo United States
Shanyi Li United States
In‐Chul Lee South Korea
Akinori Yanaka Japan
Georgiana Nițulescu relative to W.S. Daniel Tan Singapore W.S. Daniel Tan's profile →
Citations per field
00.5×1.5×1.8×
W.S. Daniel Tan · 1×
Citations per year

Countries citing papers authored by Georgiana Nițulescu

Since Specialization
Citations

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

Fields of papers citing papers by Georgiana Nițulescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20243
4 20244
5 20240
6 20232
7 202337
8 202347
9 20224
10 202183
11 202113
12 202136
13 202119
14 202020
15 201915
16 201926
17 20194
18 2018275
19 201748
20 201621

About Georgiana Nițulescu

Georgiana Nițulescu is a scholar working on Dermatology, Pharmacology and Computational Theory and Mathematics, having authored 28 papers that have together received 819 indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (6 papers), Botanical Research and Chemistry (4 papers), Computational Drug Discovery Methods (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Advanced Breast Cancer Therapies (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Biochemistry (55 citations), Infectious Diseases (108 citations) and Molecular Biology (376 citations). Georgiana Nițulescu has collaborated with scholars based in Romania, Greece and South Africa. Frequent co-authors include George Mihai Nițulescu, Denisa Margină, Anca Ungurianu, Anca Zanfirescu, Octavian Tudorel Olaru, Demetrios�� Spandidos, Daniela Grădinaru, Maryna van de Venter, Aristides Tsatsakis and Dimitris Tsoukalas. Their work appears in journals such as Molecules, Pharmaceuticals, Pharmaceutics, International Journal of Molecular Sciences and International Journal of Molecular Medicine.

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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