Nina Langoth

464 citations
9 papers · 375 · h-index 9

Impact in

    • Advanced Drug Delivery Systems
    • Drug Solubulity and Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Nanoparticle-Based Drug Delivery

Papers in

Nina Langoth

9 papers receiving 350 citations

Peers

Nina Langoth
Comparison fields: 5 of 68
  • Pharmaceutical Science 289
  • Biomaterials 73
  • Pharmacy 22
  • Molecular Medicine 22
  • Surfaces, Coatings and Films 17
Replace Andreas Bernkop‐Schnürch with:
Andreas Bernkop‐Schnürch Austria
Thierry Schmitz Austria
Thomas F. Palmberger Austria
Jei‐Man Ryu South Korea
Michaela K. Marschütz Austria
Andreas E. Clausen Austria
Helene Hägerström Sweden
Forouhe Zahir‐Jouzdani Iran
Concetta Giovino Italy
Taylor L. Carlson United States
Nina Langoth relative to Andreas Bernkop‐Schnürch Austria Andreas Bernkop‐Schnürch's profile →
Citations per field
00.5×1.6×
Andreas Bernkop‐Schnürch · 1×
Citations per year

Countries citing papers authored by Nina Langoth

Since Specialization
Citations

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

Fields of papers citing papers by Nina Langoth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Nina Langoth, 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 Nina Langoth Line = papers co-authored together Nina Langoth links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200370
2 200668
3 200366
4 200455
5 200533
6 200232
7 200521
8 200220
9 200510

About Nina Langoth

Nina Langoth is a scholar working on Pharmaceutical Science, Cellular and Molecular Neuroscience, Molecular Biology, Organic Chemistry and Oncology, having authored 9 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (8 papers), Neuropeptides and Animal Physiology (5 papers), Drug Solubulity and Delivery Systems (2 papers), Peptidase Inhibition and Analysis (1 paper), Diabetes Treatment and Management (1 paper), Platelet Disorders and Treatments (1 paper), Dendrimers and Hyperbranched Polymers (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Pharmaceutical Science (289 citations), Biomaterials (73 citations), Pharmacy (22 citations), Molecular Medicine (22 citations) and Surfaces, Coatings and Films (17 citations). Nina Langoth has collaborated with scholars based in Austria and Germany. Frequent co-authors include Andreas Bernkop‐Schnürch, D. Guggi, Constantia E. Kast, Michael Wirth, Greg F. Walker, Martin Hoffer, Ivo Schmerold, Sonja Franz and Hermann Kahlbacher. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutical Research, Journal of Drug Delivery Science and Technology and Scientia Pharmaceutica.

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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