Massimo Sassaroli

1.3k total citations
30 papers, 1.1k citations indexed

About

Massimo Sassaroli is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Massimo Sassaroli has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Massimo Sassaroli's work include Hemoglobin structure and function (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Photoreceptor and optogenetics research (6 papers). Massimo Sassaroli is often cited by papers focused on Hemoglobin structure and function (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Photoreceptor and optogenetics research (6 papers). Massimo Sassaroli collaborates with scholars based in United States, Germany and Finland. Massimo Sassaroli's co-authors include Denis L. Rousseau, G Piperno, Carlo Iomini, Matti Vauhkonen, J. Eisinger, Heikki Väänänen, Jay C. Unkeless, Frank Y.S. Chuang, Pentti Somerharju and Edward R. Siuda and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Massimo Sassaroli

30 papers receiving 1.1k citations

Peers

Massimo Sassaroli
Comparison fields: 5 of 103
  • Molecular Biology 775
  • Genetics 344
  • Cell Biology 324
  • Cellular and Molecular Neuroscience 123
  • Physiology 86
Replace Benjamin Bader with:
Benjamin Bader Germany
Joachim Biwersi United States
Jianfeng Lin China
D. C. Harris United Kingdom
Elena P. Sablin United States
Celia A. Balfour United States
James M. Gruschus United States
Keith B. Ward United States
Antreas C. Kalli United Kingdom
Michael J. Waters United States
Benjamin Bader Germany View profile →
Citations per field, relative to Massimo Sassaroli
Massimo Sassaroli · 1×
Citations per year, relative to Massimo Sassaroli
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Countries citing papers authored by Massimo Sassaroli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Sassaroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Sassaroli

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Sassaroli. A scholar is included among the top collaborators of Massimo Sassaroli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Sassaroli. Massimo Sassaroli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 15
2 196
3 75
4 151
5 31
6 86
7 30
8 10
9 35
10 31
11 7
12
Distribution of erythrocyte free porphyrin content in erythropoietic protoporphyria.
6
13 48
14 45
15 13
16 40
17 19
18 11
19 5
20 16

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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