A. Gamba

1.6k total citations
77 papers, 1.1k citations indexed

About

A. Gamba is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A. Gamba has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Statistical and Nonlinear Physics and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in A. Gamba's work include Mathematical Biology Tumor Growth (9 papers), Cellular Mechanics and Interactions (8 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). A. Gamba is often cited by papers focused on Mathematical Biology Tumor Growth (9 papers), Cellular Mechanics and Interactions (8 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). A. Gamba collaborates with scholars based in Italy, United States and Russia. A. Gamba's co-authors include Guido Serini, Stefano Di Talia, Federico Bussolino, A. de Candia, Antonio Coniglio, D. Ambrosi, Luigi Preziosi, G. Boffetta, I. V. Kolokolov and F. De Lillo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

A. Gamba

75 papers receiving 1.1k citations

Peers

A. Gamba
Comparison fields: 5 of 116
  • Molecular Biology 317
  • Cell Biology 249
  • Modeling and Simulation 226
  • Biomedical Engineering 163
  • Statistical and Nonlinear Physics 162
Replace Sergei Fedotov with:
Sergei Fedotov United Kingdom
R. Preuss Germany
Mario Markus Germany
Rainer Klages United Kingdom
Gilberto L. Thomas Brazil
T. J. Newman United Kingdom
Cyrill B. Muratov United States
V. N. Biktashev United Kingdom
Piotr Biler Poland
M. A. Tsyganov Russia
Sergei Fedotov United Kingdom View profile →
Citations per field, relative to A. Gamba
A. Gamba · 1×
Citations per year, relative to A. Gamba
A. Gamba · 1×

Countries citing papers authored by A. Gamba

Since Specialization
Citations

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

Fields of papers citing papers by A. Gamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Gamba

This figure shows the co-authorship network connecting the top 25 collaborators of A. Gamba. A scholar is included among the top collaborators of A. Gamba 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 A. Gamba. A. Gamba 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 0
2 1
3 1
4 7
5 9
6 26
7 3
8 14
9 29
10 10
11 19
12 5
13
Computer-assisted analysis of in-vitro vasculogenesis and angiogenesis processes
3
14 187
15
Maxwell's equations in octonion form
14
16 12
17 2
18 17
19 1
20 1

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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