Fedora Grande

3.3k citations
92 papers · 2.7k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Fedora Grande

90 papers receiving 2.7k citations

Hit Papers

Chloro-1,4-dimethyl-9H-carbazole Derivatives Displaying Anti-HIV Activity 2018 · 428 citations
4282018202620202023100200300400

Peers

Fedora Grande
Comparison fields: 5 of 144
  • Toxicology 86
  • Biochemistry 137
  • Oncology 581
  • Organic Chemistry 576
  • Molecular Biology 980
Replace Jianyou Shi with:
Jianyou Shi China
Amita Verma India
Sumera Zaib Pakistan
Marize Campos Valadares Brazil
Zhuorong Li China
Pithi Chanvorachote Thailand
Peng Yu China
Obaid Afzal Saudi Arabia
Jian‐Dong Jiang China
Tian Xie China
Fedora Grande relative to Jianyou Shi China Jianyou Shi's profile →
Citations per field
00.5×5.7×
Jianyou Shi · 1×
Citations per year

Countries citing papers authored by Fedora Grande

Since Specialization
Citations

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

Fields of papers citing papers by Fedora Grande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20245
3 20244
4 20242
5 20238
6 20232
7 202164
8 202120
9 202121
10 20217
11 202016
12 202020
13 201925
14 201927
15 201941
16 201859
17 2013105
18
Anthrone reaction in estimation of carbohydrates.
20031
19
The cyanmethemoglobin method for hemoglobin determination.
19626
20
[The anthrone reaction in the determination of carbohydrates].
19531

About Fedora Grande

Fedora Grande is a scholar working on Toxicology, Pharmaceutical Science, Organic Chemistry, Computational Theory and Mathematics and Virology, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Synthesis and biological activity (13 papers), Synthesis and Biological Evaluation (11 papers), Bioactive Compounds and Antitumor Agents (9 papers), Cancer therapeutics and mechanisms (8 papers), Estrogen and related hormone effects (7 papers), Receptor Mechanisms and Signaling (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Toxicology (86 citations), Biochemistry (137 citations), Oncology (581 citations), Organic Chemistry (576 citations) and Molecular Biology (980 citations). Fedora Grande has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Antonio Garofalo, Nouri Neamati, Paola Tucci, Shili Xu, Maria Antonietta Occhiuzzi, Giuseppina Ioele, Maria Stefania Sinicropi, Anna Caruso, Carmela Saturnino and Domenico Iacopetta. Their work appears in journals such as Molecules, European Journal of Medicinal Chemistry, Pharmaceutics, Mini-Reviews in Medicinal Chemistry and ChemMedChem.

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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