B. Facchin

28 papers receiving 382 citations

B. Facchin's Hit Papers

Inflammatory biomarkers on an LPS-induced RAW 264.7 cell model: a systematic review and meta-analysis 2022 · 144 citations
1440+1+2Years since publication4080120

Peers

B. Facchin
Comparison fields: 5 of 91
  • Bioengineering 30
  • Analytical Chemistry 47
  • Electrochemistry 29
  • Biochemistry 25
  • Complementary and Manual Therapy 8
Replace Małgorzata Sztanke with:
Małgorzata Sztanke Poland
Burcu Okutucu Türkiye
Mei Han China
Nantana Nuchtavorn Thailand
Arash Mohammadinejad Iran
Kuilong Wang China
Fawzi Elsebaei Egypt
Yuanzhong Yang Australia
Ruimiao Chang China
Hengxing Liang China
B. Facchin relative to Małgorzata Sztanke Poland Małgorzata Sztanke's profile →
Citations per field
00.5×2.8×
Małgorzata Sztanke · 1×
Citations per year

Countries citing papers authored by B. Facchin

Since Specialization
Citations

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

Fields of papers citing papers by B. Facchin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inflammatory biomarkers on an LPS-induced RAW 264.7 cell model: a systematic review and meta-analysis
Hit paper breakdown →
2022144
2 201634
3 201931
4 201327
5 201623
6 201616
7 198914
8 199411
9 19909
10 19949
11 19849
12 19908
13 19937
14 20236
15 20196
16 19966
17 19955
18 20205
19 19955
20 19974

About B. Facchin

B. Facchin is a scholar working on Computational Mechanics, Bioengineering, Electrochemistry, Analytical Chemistry and Spectroscopy, having authored 29 papers that have together received 396 indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (10 papers), Electrochemical Analysis and Applications (7 papers), Analytical Chemistry and Sensors (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Analytical chemistry methods development (4 papers), Transition Metal Oxide Nanomaterials (3 papers), Immune Response and Inflammation (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Bioengineering (30 citations), Analytical Chemistry (47 citations), Electrochemistry (29 citations), Biochemistry (25 citations) and Complementary and Manual Therapy (8 citations). B. Facchin has collaborated with scholars based in Italy, Brazil and Hungary. Frequent co-authors include Eduardo Monguilhott Dalmarco, Júlia Salvan da Rosa, S. Daolio, Eduarda Talita Bramorski Mohr, Iara Fabrícia Kretzer, Izabel Galhardo Demarchi, C. Pagura, Tânia Sílvia Fröde, Flávio Henrique Reginatto and Achille De Battisti. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Inorganica Chimica Acta, Surface Science, International Immunopharmacology and Inflammation Research.

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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