Speranța Avram

72 papers receiving 758 citations

Peers

Speranța Avram
Comparison fields: 5 of 101
  • Biological Psychiatry 27
  • Organic Chemistry 253
  • Computational Theory and Mathematics 135
  • Toxicology 23
  • Pharmacology 93
Replace Humaira Nadeem with:
Humaira Nadeem Pakistan
Marija R. Popović-Nikolić Serbia
Sean A. Hudson United Kingdom
Martha Cecilia Rosales‐Hernández Mexico
Krzysztof Marciniec Poland
Shafi Ullah Khan Pakistan
Napat Songtawee Thailand
Mohammad Abdel‐Halim Egypt
Elisa Uliassi Italy
Livia Basile Italy
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Citations per field
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Citations per year

Countries citing papers authored by Speranța Avram

Since Specialization
Citations

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

Fields of papers citing papers by Speranța Avram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201479
2 202343
3 202036
4 202031
5 201630
6 202028
7 202225
8 201722
9 201221
10 202020
11 201618
12 201918
13 202118
14 201916
15 202116
16 201015
17 201214
18 202013
19 200813
20 202213

About Speranța Avram

Speranța Avram is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pharmacology and Infectious Diseases, having authored 76 papers that have together received 768 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Synthesis and biological activity (14 papers), Phenothiazines and Benzothiazines Synthesis and Activities (8 papers), Antimicrobial Peptides and Activities (5 papers), Tryptophan and brain disorders (5 papers), HIV Research and Treatment (5 papers), Photodynamic Therapy Research Studies (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Organic Chemistry (253 citations), Computational Theory and Mathematics (135 citations), Toxicology (23 citations) and Pharmacology (93 citations). Speranța Avram has collaborated with scholars based in Romania, United States and United Kingdom. Frequent co-authors include Maria Mernea, Cătălin Buiu, Ana-Maria Udrea, Dan Mihăilescu, Adina L. Milac, Sergey Shaposhnikov, Florin Borcan, Carmen Limban, Mariana Carmen Chifiriuc and Daniel Duda-Seiman. Their work appears in journals such as Pharmaceutics, Mini-Reviews in Medicinal Chemistry, International Journal of Molecular Sciences, Molecules and Applied Organometallic Chemistry.

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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