Ágnes Bajza

1.0k total citations · 1 hit paper
15 papers, 783 citations indexed

About

Ágnes Bajza is a scholar working on Pharmaceutical Science, Physiology and Molecular Biology. According to data from OpenAlex, Ágnes Bajza has authored 15 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmaceutical Science, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Ágnes Bajza's work include Advanced Drug Delivery Systems (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Ágnes Bajza is often cited by papers focused on Advanced Drug Delivery Systems (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Ágnes Bajza collaborates with scholars based in Hungary, Iceland and France. Ágnes Bajza's co-authors include Franciska Erdő, Luca Anna Bors, Daniel L. Farkas, Sveinbjörn Gizurarson, Attila Csorba, Kristóf Iván, András József Laki, Tı́mea Imre, Pál Szabó and István Antal and has published in prestigious journals such as Pharmaceutics, Brain Research Bulletin and Journal of Cardiovascular Pharmacology.

In The Last Decade

Ágnes Bajza

14 papers receiving 766 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluation of intranasal delivery route of drug administration for brain targeting

2018 555 citations Franciska Erdő, Luca Anna Bors et al. Brain Research Bulletin profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ágnes Bajza Hungary	8	320	268	109	105	96	15	783
Luca Anna Bors Hungary	6	334 1.0×	291 1.1×	156 1.4×	129 1.2×	110 1.1×	10	863
Tyler P. Crowe United States	4	275 0.9×	226 0.8×	102 0.9×	84 0.8×	71 0.7×	6	669
Shyeilla V. Dhuria United States	13	507 1.6×	623 2.3×	156 1.4×	125 1.2×	238 2.5×	24	1.7k
Enara Herrán Spain	13	206 0.6×	324 1.2×	156 1.4×	77 0.7×	175 1.8×	18	765
Mária Mészáros Hungary	14	103 0.3×	198 0.7×	155 1.4×	172 1.6×	69 0.7×	25	670
Gordon Brandt United States	9	321 1.0×	164 0.6×	41 0.4×	32 0.3×	75 0.8×	12	663
Frédéric Lallemand Belgium	23	577 1.8×	298 1.1×	88 0.8×	111 1.1×	343 3.6×	37	1.6k
Emine Şekerdağ Türkiye	8	149 0.5×	198 0.7×	36 0.3×	134 1.3×	56 0.6×	11	513
Thi Thuy Dung Nguyen Vietnam	11	82 0.3×	206 0.8×	74 0.7×	73 0.7×	55 0.6×	27	703
Chu‐Hua Li China	16	48 0.1×	260 1.0×	106 1.0×	126 1.2×	161 1.7×	38	855

Countries citing papers authored by Ágnes Bajza

Since Specialization

Citations

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

Fields of papers citing papers by Ágnes Bajza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Bajza

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

All Works

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15 of 15 papers shown

Bors, Luca Anna, Ágnes Bajza, Míra Mándoki, et al.. (2020). Modulation of nose-to-brain delivery of a P-glycoprotein (MDR1) substrate model drug (quinidine) in rats. Brain Research Bulletin. 160. 65–73. 30 indexed citations

Bajza, Ágnes, András József Laki, Tı́mea Imre, et al.. (2020). Verification of P-Glycoprotein Function at the Dermal Barrier in Diffusion Cells and Dynamic “Skin-On-A-Chip” Microfluidic Device. Pharmaceutics. 12(9). 804–804. 28 indexed citations

Bajza, Ágnes, Attila Csorba, István Antal, et al.. (2019). Skin-on-a-Chip Device for Ex Vivo Monitoring of Transdermal Delivery of Drugs—Design, Fabrication, and Testing. Pharmaceutics. 11(9). 445–445. 47 indexed citations

Bors, Luca Anna, Kinga Tóth, Ágnes Bajza, et al.. (2018). Age-dependent changes at the blood-brain barrier. A Comparative structural and functional study in young adult and middle aged rats. Brain Research Bulletin. 139. 269–277. 58 indexed citations

Erdő, Franciska, Luca Anna Bors, Daniel L. Farkas, Ágnes Bajza, & Sveinbjörn Gizurarson. (2018). Evaluation of intranasal delivery route of drug administration for brain targeting. Brain Research Bulletin. 143. 155–170. 555 indexed citations breakdown →

Bors, Luca Anna, et al.. (2018). Validation of an In vitro-in vivo Assay System for Evaluation of Transdermal Delivery of Caffeine. Drug Delivery Letters. 9(1). 15–20. 7 indexed citations

Bors, Luca Anna, et al.. (2018). Koffein: hagyományos és új terápiás indikációk, valamint felhasználás dermatológiai modellvegyületként. Orvosi Hetilap. 159(10). 384–390. 3 indexed citations

Bors, Luca Anna, et al.. (2018). Koffein: hagyományos és új terápiás indikációk, valamint felhasználás dermatológiai modellvegyületként = Caffeine: traditional and new therapeutic indications and use as a dermatological model drug. 1 indexed citations

Lange, Elizabeth C. M. de, et al.. (2017). Maturation, Barrier Function, Aging, and Breakdown of the Blood–Brain Barrier. 271–304. 2 indexed citations

10.

Literáti-Nagy, Botond, Kálmán Tory, Barna Peitl, et al.. (2014). Improvement of Insulin Sensitivity by a Novel Drug Candidate, BGP-15, in Different Animal Studies. Metabolic Syndrome and Related Disorders. 12(2). 125–131. 33 indexed citations

11.

Tory, Kálmán, Botond Literáti-Nagy, Ágnes Bajza, et al.. (2013). Synergetic Insulin Sensitizing Effect of Rimonabant and BGP-15 in Zucker-Obes Rats. Pathology & Oncology Research. 19(3). 571–575. 7 indexed citations

12.

Bajza, Ágnes, József Németh, Barna Peitl, & Zoltán Szilvássy. (2011). Block by Nitrate Tolerance of Meal-Induced Insulin Sensitization in Conscious Rabbits. Journal of Cardiovascular Pharmacology. 58(5). 508–513. 1 indexed citations

13.

Zsuga, Judit, Kálmán Tory, L Jaszlits, et al.. (2004). Pre-clinical methods for the determination of insulin sensitivity. Journal of Biochemical and Biophysical Methods. 61(1-2). 253–258. 1 indexed citations

14.

Bajza, Ágnes, et al.. (2004). Development of Insulin Resistance by Nitrate Tolerance in Conscious Rabbits. Journal of Cardiovascular Pharmacology. 43(3). 471–476. 6 indexed citations

15.

Gesztelyi, Rudolf, Judit Zsuga, Ágnes Bajza, et al.. (2003). Special Sensitization Pattern in Adenosine-Induced Myocardial Responses After Thyroxine-Treatment. Journal of Pharmacological Sciences. 91(4). 295–304. 4 indexed citations

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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