Nils Berglund

2.3k total citations
46 papers, 1.1k citations indexed

About

Nils Berglund is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Nils Berglund has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 14 papers in Molecular Biology and 11 papers in Computer Networks and Communications. Recurrent topics in Nils Berglund's work include stochastic dynamics and bifurcation (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Antimicrobial Peptides and Activities (5 papers). Nils Berglund is often cited by papers focused on stochastic dynamics and bifurcation (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Antimicrobial Peptides and Activities (5 papers). Nils Berglund collaborates with scholars based in France, United Kingdom and Germany. Nils Berglund's co-authors include Barbara Gentz, Peter J. Bond, Åke Edman, Syma Khalid, Thomas J. Piggot, Richard B. Sessions, Damien Jefferies, H. Russell Kunz, Daniel A. Holdbrook and Christian Kuehn and has published in prestigious journals such as Physical Review Letters, Nature Communications and Scientific Reports.

In The Last Decade

Nils Berglund

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nils Berglund France 18 367 323 174 151 139 46 1.1k
Umberto L. Fulco Brazil 23 795 2.2× 259 0.8× 24 0.1× 20 0.1× 34 0.2× 137 2.0k
Maximino Aldana Mexico 20 1.3k 3.5× 346 1.1× 338 1.9× 13 0.1× 109 0.8× 38 2.1k
Roy D. Welch United States 19 548 1.5× 52 0.2× 105 0.6× 11 0.1× 17 0.1× 50 1.1k
Wolfgang Meyer Germany 21 193 0.5× 70 0.2× 6 0.0× 52 0.3× 11 0.1× 90 2.3k
Yen Ting Lin United States 15 396 1.1× 119 0.4× 11 0.1× 6 0.0× 43 0.3× 46 1.6k
Hao Ge China 20 1.5k 4.1× 522 1.6× 49 0.3× 16 0.1× 20 0.1× 92 2.6k
Richard G. Morris Australia 14 318 0.9× 195 0.6× 89 0.5× 4 0.0× 27 0.2× 38 828
Rahul Kulkarni United States 20 1.6k 4.3× 182 0.6× 50 0.3× 25 0.2× 12 0.1× 65 2.2k
Parvaiz Ahmad Naik China 27 220 0.6× 180 0.6× 167 1.0× 6 0.0× 68 0.5× 66 2.1k
Silvio C. Ferreira Brazil 24 238 0.6× 679 2.1× 81 0.5× 7 0.0× 26 0.2× 73 1.6k

Countries citing papers authored by Nils Berglund

Since Specialization
Citations

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

Fields of papers citing papers by Nils Berglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Berglund

This figure shows the co-authorship network connecting the top 25 collaborators of Nils Berglund. A scholar is included among the top collaborators of Nils Berglund 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 Nils Berglund. Nils Berglund 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
1.
Nieto, Vincent, et al.. (2025). BPS2025 - RFdiffusion and MD simulations: Crafting peptides to outsmart Alzheimer's disease. Biophysical Journal. 124(3). 522a–522a.
2.
Berglund, Nils, Georgi S. Medvedev, & Gideon Simpson. (2025). Metastability in the stochastic nearest-neighbour Kuramoto model of coupled phase oscillators. Nonlinearity. 38(9). 95031–95031.
3.
Schiøtt, Birgit, et al.. (2025). Exploring insulin-receptor dynamics: Stability and binding mechanisms. Structure. 33(8). 1425–1435.e2.
4.
Berglund, Nils, et al.. (2024). Concentration estimates for slowly time-dependent singular SPDEs on the two-dimensional torus. Electronic Journal of Probability. 29(none).
5.
Kuehn, Christian, et al.. (2022). A general view on double limits in differential equations. Institutional Research Information System (Università degli Studi di Trento). 13 indexed citations
6.
Zhang, Xiaolei, Nils Berglund, Jeffrey Burgdorf, et al.. (2022). Extracellular application of the N-methyl-D-aspartate receptor allosteric modulator rapastinel acts remotely to regulate Ca2+ inactivation at an intracellular locus. Neuroreport. 33(7). 312–319. 3 indexed citations
7.
Berglund, Nils, et al.. (2021). Effect of palmitoylation on the dimer formation of the human dopamine transporter. Scientific Reports. 11(1). 4164–4164. 11 indexed citations
8.
Berglund, Nils, et al.. (2021). The Effect of Cholesterol on Membrane-Bound Islet Amyloid Polypeptide. Frontiers in Molecular Biosciences. 8. 657946–657946. 9 indexed citations
9.
Huber, Roland G., Nils Berglund, Vasileios Kargas, et al.. (2018). A Thermodynamic Funnel Drives Bacterial Lipopolysaccharide Transfer in the TLR4 Pathway. Structure. 26(8). 1151–1161.e4. 27 indexed citations
10.
Saravanan, Rathi, Daniel A. Holdbrook, Jitka Petrlová, et al.. (2018). Structural basis for endotoxin neutralisation and anti-inflammatory activity of thrombin-derived C-terminal peptides. Nature Communications. 9(1). 2762–2762. 56 indexed citations
11.
Berglund, Nils, Daniel A. Holdbrook, Syma Khalid, & Peter J. Bond. (2015). The Structural Basis for Lipid a Recognition in the CD14 Innate Immune Co-Receptor. Biophysical Journal. 108(2). 350a–351a. 1 indexed citations
12.
Berglund, Nils, et al.. (2015). The role of protein–protein interactions in Toll-like receptor function. Progress in Biophysics and Molecular Biology. 119(1). 72–83. 23 indexed citations
13.
Khalid, Syma, Nils Berglund, Peter J. Bond, & Thomas J. Piggot. (2015). Molecular Dynamics Simulations Reveal Mechanistic Details of Polymyxin Penetration into both Membranes of E. coli. Biophysical Journal. 108(2). 549a–549a. 1 indexed citations
14.
Berglund, Nils, Thomas J. Piggot, Damien Jefferies, et al.. (2015). Interaction of the Antimicrobial Peptide Polymyxin B1 with Both Membranes of E. coli: A Molecular Dynamics Study. PLoS Computational Biology. 11(4). e1004180–e1004180. 148 indexed citations
15.
Berglund, Nils, Thomas J. Piggot, & Syma Khalid. (2014). Interaction of the Antimicrobial Polymyxin B1 with the Inner and Outer Membranes of E.Coli: Insights into the Mechanisms of Membrane Disruption. Biophysical Journal. 106(2). 97a–97a. 3 indexed citations
16.
Berglund, Nils, Barbara Gentz, & Christian Kuehn. (2012). Hunting French ducks in a noisy environment. Journal of Differential Equations. 252(9). 4786–4841. 27 indexed citations
17.
Berglund, Nils, et al.. (2003). Family intervention in schizophrenia. Social Psychiatry and Psychiatric Epidemiology. 38(3). 116–121. 109 indexed citations
18.
Berglund, Nils. (2002). Geometric Singular Perturbation Theory for Stochastic Differential Equations. 52 indexed citations
19.
Berglund, Nils & Barbara Gentz. (2001). The effect of additive noise on dynamical hysteresis. Repository for Publications and Research Data (ETH Zurich). 14 indexed citations
20.
Berglund, Nils & H. Russell Kunz. (1999). Memory effects and scaling laws in slowly driven systems. Journal of Physics A Mathematical and General. 32(1). 15–39. 23 indexed citations

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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