Barbara Pavan

109 papers receiving 2.9k citations

Peers

Barbara Pavan
Comparison fields: 5 of 144
  • Pharmaceutical Science 464
  • Physiology 151
  • Biomaterials 302
  • Physical and Theoretical Chemistry 138
  • Nutrition and Dietetics 208
Replace Mohammad H. Pourgholami with:
Mohammad H. Pourgholami Australia
Kenneth L. Audus United States
Hongbo Guo China
Lei Zhang China
Maria Bryszewska Poland
Carla Emiliani Italy
Lijun Liu China
Muhammad Wahajuddin India
Irene E. Kochevar United States
Nam‐Ho Kim South Korea
Barbara Pavan relative to Mohammad H. Pourgholami Australia Mohammad H. Pourgholami's profile →
Citations per field
00.5×4.2×
Mohammad H. Pourgholami · 1×
Citations per year

Countries citing papers authored by Barbara Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017235
2 2010234
3 2008111
4 200188
5 201883
6 202077
7 201374
8 201873
9 201268
10 200664
11 201559
12 200956
13 201453
14 201550
15 201749
16 200648
17 200547
18 201443
19 201243
20 200638

About Barbara Pavan

Barbara Pavan is a scholar working on Pharmaceutical Science, Physiology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Obstetrics and Gynecology, having authored 111 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (16 papers), Advanced Drug Delivery Systems (16 papers), Receptor Mechanisms and Signaling (8 papers), Crystallization and Solubility Studies (7 papers), Preterm Birth and Chorioamnionitis (7 papers), Vitamin C and Antioxidants Research (7 papers), Pregnancy and preeclampsia studies (7 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Pharmaceutical Science (464 citations), Physiology (151 citations), Biomaterials (302 citations), Physical and Theoretical Chemistry (138 citations) and Nutrition and Dietetics (208 citations). Barbara Pavan has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alessandro Dalpiaz, Carla Biondi, Mary M Tecklenburg, Luca Ferraro, Sarah Beggiato, Verónica Barone, Bradley D. Fahlman, Tarun Bhardwaj, Laura Lunghi and Stefano Manfredini. Their work appears in journals such as Pharmaceutics, Drug Discovery Today, Molecular Pharmaceutics, Journal of Drug Delivery Science and Technology and International Journal of Pharmaceutics.

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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