Mojca Pavlin

2.9k citations
76 papers · 2.4k · h-index 27

Impact in

  • Biotechnology top 0.2%
    • Microbial Inactivation Methods
    • Transgenic Plants and Applications
  • Physiology top 0.5%
    • Magnetic and Electromagnetic Effects

Papers in

Mojca Pavlin

74 papers receiving 2.4k citations

Peers

Mojca Pavlin
Comparison fields: 5 of 114
  • Biotechnology 1.4k
  • Physiology 352
  • Biomedical Engineering 1.3k
  • Biomaterials 183
  • Biophysics 70
Replace Vitalij Novickij with:
Vitalij Novickij Lithuania
Michael B. Sano United States
Saulius Šatkauskas Lithuania
Fatima H. Labeed United Kingdom
Jeong Ah Kim South Korea
Jeffrey D. Zahn United States
Sangly P. Srinivas United States
Zhao Li China
Shili Xu United States
Mojca Pavlin relative to Vitalij Novickij Lithuania Vitalij Novickij's profile →
Citations per field
00.5×6.5×
Vitalij Novickij · 1×
Citations per year

Countries citing papers authored by Mojca Pavlin

Since Specialization
Citations

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

Fields of papers citing papers by Mojca Pavlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mojca Pavlin, 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 Mojca Pavlin Line = papers co-authored together Mojca Pavlin 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 2005245
2 2003192
3 2002146
4 2017121
5 2008112
6 2008100
7 200994
8 200391
9 200683
10 200771
11 201357
12 202054
13 200254
14 201750
15 200750
16 201348
17 201045
18 201545
19 201544
20
STABILITY OF NANOPARTICLE SUSPENSIONS IN DIFFERENT BIOLOGICALLY RELEVANT MEDIA
201244

About Mojca Pavlin

Mojca Pavlin is a scholar working on Biomedical Engineering, Biotechnology, Molecular Biology, Materials Chemistry and Surgery, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (32 papers), Microfluidic and Bio-sensing Technologies (28 papers), Nanoparticle-Based Drug Delivery (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Magnetic and Electromagnetic Effects (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), 3D Printing in Biomedical Research (6 papers) and Bladder and Urothelial Cancer Treatments (5 papers). The work is most often cited by research in Biotechnology (1.4k citations), Physiology (352 citations), Biomedical Engineering (1.3k citations), Biomaterials (183 citations) and Biophysics (70 citations). Mojca Pavlin has collaborated with scholars based in Slovenia, France and Austria. Frequent co-authors include Damijan Miklavčič, Maša Kandušer, Vladimir B. Bregar, Gorazd Pucihar, N. Pavšelj, Peter Veranič, Matej Reberšek, Jasna Lojk, Marie‐Pierre Rols and Sergej Pirkmajer. Their work appears in journals such as International Journal of Molecular Sciences, The Journal of Membrane Biology, Bioelectrochemistry, Scientific Reports and BioMedical Engineering OnLine.

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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