Massimo Morbidelli

28.1k citations
673 papers · 21.6k indexed · h-index 72

Massimo Morbidelli

666 papers receiving 20.9k citations

Peers

Massimo Morbidelli
Comparison fields: 5 of 184
  • Spectroscopy 3.7k
  • Process Chemistry and Technology 491
  • Biomaterials 1.9k
  • Biomedical Engineering 6.3k
  • Analytical Chemistry 1.4k
Replace Tian Lu with:
Tian Lu China
Marco Mazzotti Switzerland
Feiwu Chen China
Bo Tang China
Yi Liu China
Yang Liu China
Jianhua Wang China
John M. Prausnitz United States
T. Alan Hatton United States
Yukihiro Ozaki Japan
Massimo Morbidelli relative to Tian Lu China Tian Lu's profile →
Citations per field
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Tian Lu · 1×
Citations per year

Countries citing papers authored by Massimo Morbidelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Morbidelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202210
2 202111
3
Determination of the Thermodynamic Behavior of a Therapeutic Peptide in Overloading Conditions in Gradient Elution Chromatography
20201
4 201940
5 201922
6 2019162
7 20196
8 20194
9 201820
10
Big data in biopharmaceutical process development vice or virtue
20185
11 201814
12 201811
13 201837
14 201827
15 2018170
16 201727
17 201792
18 201761
19 200154
20
Design and operation of a HPLC-SMB laboratory unit for continuous chromatographic separations
19981

About Massimo Morbidelli

Massimo Morbidelli is a scholar working on Spectroscopy, Catalysis and Physical and Theoretical Chemistry, having authored 673 papers that have together received 21.6k indexed citations. Recurring topics across this work include Protein purification and stability (223 papers), Analytical Chemistry and Chromatography (109 papers), Viral Infectious Diseases and Gene Expression in Insects (101 papers), Monoclonal and Polyclonal Antibodies Research (69 papers), Surfactants and Colloidal Systems (65 papers), Advanced Polymer Synthesis and Characterization (63 papers), Microfluidic and Capillary Electrophoresis Applications (58 papers) and Coagulation and Flocculation Studies (55 papers). The work is most often cited by research in Spectroscopy (3.7k citations), Process Chemistry and Technology (491 citations) and Biomaterials (1.9k citations). Massimo Morbidelli has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Marco Mazzotti, Giuseppe Storti, Hua Wu, Arvind Varma, Marco Lattuada, Alessandro Butté, Miroslav Šoóš, Sergio Carrà, Thomas Müller‐Späth and Ján Šefčı́k. Their work appears in journals such as Journal of Chromatography A, Chemical Engineering Science, Industrial & Engineering Chemistry Research, AIChE Journal and Langmuir.

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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