Manuela Pavan

44 papers receiving 2.1k citations

Peers

Manuela Pavan
Comparison fields: 5 of 142
  • Computational Theory and Mathematics 1.2k
  • Chemical Health and Safety 24
  • Health, Toxicology and Mutagenesis 435
  • Analytical Chemistry 206
  • Pollution 238
Replace Alessandra Roncaglioni with:
Alessandra Roncaglioni Italy
Tatiana I. Netzeva United Kingdom
Ralf‐Uwe Ebert Germany
Todd M. Martin United States
James F. Rathman United States
Vijay K. Gombar United States
S. Dimitrov Bulgaria
Ester Papa Italy
Nina Jeliazkova United Kingdom
Judith C. Madden United Kingdom
Manuela Pavan relative to Alessandra Roncaglioni Italy Alessandra Roncaglioni's profile →
Citations per field
00.5×1.5×
Alessandra Roncaglioni · 1×
Citations per year

Countries citing papers authored by Manuela Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DRAGON SOFTWARE: AN EASY APPROACH TO MOLECULAR DESCRIPTOR CALCULATIONS
2006402
2 2002373
3 2002248
4 2004156
5 2007117
6 2003106
7 200889
8 200756
9 201649
10 200848
11
The Characterisation of (Quantitative) Structure-Activity Relationships: Preliminary Guidance
200547
12 200846
13 200637
14 200635
15 200633
16 201330
17 200326
18 200325
19 201924
20 200424

About Manuela Pavan

Manuela Pavan is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Food Science, Spectroscopy and Plant Science, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Pesticide Residue Analysis and Safety (12 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Environmental Toxicology and Ecotoxicology (8 papers), Analytical Chemistry and Chromatography (7 papers), Pesticide Exposure and Toxicity (6 papers), Agricultural safety and regulations (5 papers) and Carcinogens and Genotoxicity Assessment (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Chemical Health and Safety (24 citations), Health, Toxicology and Mutagenesis (435 citations), Analytical Chemistry (206 citations) and Pollution (238 citations). Manuela Pavan has collaborated with scholars based in Italy, Belgium and Spain. Frequent co-authors include Roberto Todeschini, Viviana Consonni, Andrew Worth, Andrea Mauri, Tatiana I. Netzeva, Paola Gramatica, Arianna Bassan, Ivanka Tsakovska, Grace Patlewicz and Elena Fioravanzo. Their work appears in journals such as SAR and QSAR in environmental research, Analytica Chimica Acta, Chemometrics and Intelligent Laboratory Systems, Continental Shelf Research and Chemosphere.

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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