Péter Sipos

23 papers receiving 804 citations

Peers

Péter Sipos
Comparison fields: 5 of 100
  • Pharmaceutical Science 175
  • Biochemistry 106
  • Molecular Medicine 69
  • Developmental Neuroscience 57
  • Cancer Research 87
Replace Anchang Liu with:
Anchang Liu China
Ting‐Lin Yen Taiwan
Ahsas Goyal India
Huadong Cui United States
Arash Khorrami Iran
Ding Qi-long China
Zhongwen Yuan China
Yusuke Miyazaki Japan
Gihan F. Asaad Egypt
Nasrin Ziamajidi Iran
Péter Sipos relative to Anchang Liu China Anchang Liu's profile →
Citations per field
00.5×7.1×
Anchang Liu · 1×
Citations per year

Countries citing papers authored by Péter Sipos

Since Specialization
Citations

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

Fields of papers citing papers by Péter Sipos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014227
2 2011112
3 201061
4 201651
5 201844
6 201440
7 201136
8 201533
9 200730
10 201524
11 201724
12 201621
13 200520
14 201518
15 201117
16 201717
17 200617
18 201613
19 201412
20 20087

About Péter Sipos

Péter Sipos is a scholar working on Pharmaceutical Science, Molecular Biology, Oncology, Molecular Medicine and Spectroscopy, having authored 23 papers that have together received 832 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (8 papers), Advanced Drug Delivery Systems (7 papers), Analytical Chemistry and Chromatography (3 papers), Curcumin's Biomedical Applications (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Pharmaceutical Science (175 citations), Biochemistry (106 citations), Molecular Medicine (69 citations), Developmental Neuroscience (57 citations) and Cancer Research (87 citations). Péter Sipos has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Piroska Szabó‐Révész, Ágnes Kittel, Krisztina Pálóczi, Tamás Baranyai, Edit I. Buzás, Zoltán Giricz, Péter Ferdinandy, Zoltán V. Varga, Judit Hohmann and Altaf S. Darvesh. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Thermal Analysis and Calorimetry, European Journal of Pharmaceutical Sciences, BioMed Research International and Journal of Pharmaceutical Sciences.

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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