Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Dynamical Model of Elementary Particles Based on an Analogy with Superconductivity. I
19613.7k citationsY. Nambu, G. Jona‐LasinioPhysical Reviewprofile →
Dynamical Model of Elementary Particles Based on an Analogy with Superconductivity. II
19611.8k citationsY. Nambu, G. Jona‐LasinioPhysical Reviewprofile →
Macroscopic fluctuation theory
2015367 citationsLorenzo Bertini, Alberto De Sole et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by G. Jona‐Lasinio
Since
Specialization
Citations
This map shows the geographic impact of G. Jona‐Lasinio'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 G. Jona‐Lasinio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Jona‐Lasinio more than expected).
This network shows the impact of papers produced by G. Jona‐Lasinio. 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 G. Jona‐Lasinio. The network helps show where G. Jona‐Lasinio may publish in the future.
Co-authorship network of co-authors of G. Jona‐Lasinio
This figure shows the co-authorship network connecting the top 25 collaborators of G. Jona‐Lasinio.
A scholar is included among the top collaborators of G. Jona‐Lasinio 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 G. Jona‐Lasinio. G. Jona‐Lasinio is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jona‐Lasinio, G.. (2016). Understanding non-equilibrium: a challenge for the future. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 11(2). 127–130.1 indexed citations
Angelis, Gian Fabrizio De, G. Jona‐Lasinio, & Vladas Sidoravičius. (1998). Berezin integrals and Poisson processes. Journal of Physics A Mathematical and General. 31(1). 289–308.10 indexed citations
Bertini, Lorenzo, Nicoletta Cancrini, & G. Jona‐Lasinio. (1994). The stochastic Burgers Equation. Communications in Mathematical Physics. 165(2). 211–232.100 indexed citations
14.
Jona‐Lasinio, G.. (1991). Stochastic reaction diffusion equations and interacting particle systems. French digital mathematics library (Numdam). 55(2). 751–758.3 indexed citations
15.
Jona‐Lasinio, G., Fabio Martinelli, & Elisabetta Scoppola. (1985). Multiple tunnelings in d-dimensions : a quantum particle in a hierarchical potential. French digital mathematics library (Numdam). 42(1). 73–108.17 indexed citations
Nambu, Y. & G. Jona‐Lasinio. (1961). Dynamical Model of Elementary Particles Based on an Analogy with Superconductivity. II. Physical Review. 124(1). 246–254.1793 indexed citations breakdown →
20.
Nambu, Y. & G. Jona‐Lasinio. (1961). Dynamical Model of Elementary Particles Based on an Analogy with Superconductivity. I. Physical Review. 122(1). 345–358.3742 indexed citations breakdown →
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.