Alexei Lapin

630 total citations
7 papers, 451 citations indexed

About

Alexei Lapin is a scholar working on Molecular Biology, Biomedical Engineering and Modeling and Simulation. According to data from OpenAlex, Alexei Lapin has authored 7 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Modeling and Simulation. Recurrent topics in Alexei Lapin's work include Gene Regulatory Network Analysis (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Fluid Dynamics and Mixing (2 papers). Alexei Lapin is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Fluid Dynamics and Mixing (2 papers). Alexei Lapin collaborates with scholars based in Germany, Switzerland and United Kingdom. Alexei Lapin's co-authors include Matthias Reuß, Michael Klann, Joachim Schmid, Dirk Müller, Mark C. Lloyd, Helen M. Byrne, Verónica Estrella, Tomás Alarcón, Tingan Chen and Robert A. Gatenby and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Industrial & Engineering Chemistry Research.

In The Last Decade

Alexei Lapin

7 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexei Lapin Germany	7	308	164	115	58	35	7	451
Parvathi Haridas Australia	8	114 0.4×	65 0.4×	120 1.0×	71 1.2×	45 1.3×	11	290
Seyed Ali Madani Tonekaboni Canada	9	147 0.5×	41 0.3×	39 0.3×	9 0.2×	58 1.7×	17	277
Eleftheria Tzamali Greece	12	128 0.4×	82 0.5×	72 0.6×	29 0.5×	51 1.5×	32	294
Mark M. Stevens United States	8	196 0.6×	188 1.1×	10 0.1×	46 0.8×	43 1.2×	12	442
John P. Sinek United States	4	101 0.3×	66 0.4×	224 1.9×	111 1.9×	128 3.7×	4	338
Yana Shafran Israel	13	206 0.7×	235 1.4×	5 0.0×	42 0.7×	72 2.1×	33	517
Elena Afrimzon Israel	11	140 0.5×	223 1.4×	4 0.0×	36 0.6×	66 1.9×	29	432
Jonathan H. Young United States	10	393 1.3×	110 0.7×	3 0.0×	19 0.3×	41 1.2×	14	676
Patrick Amar France	9	197 0.6×	67 0.4×	11 0.1×	64 1.1×	24 0.7×	22	311
Nicholas L. Calistri United States	5	109 0.4×	81 0.5×	7 0.1×	29 0.5×	36 1.0×	10	230

Countries citing papers authored by Alexei Lapin

Since Specialization

Citations

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

Fields of papers citing papers by Alexei Lapin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei Lapin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Lapin. A scholar is included among the top collaborators of Alexei Lapin 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 Alexei Lapin. Alexei Lapin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Klann, Michael, Alexei Lapin, & Matthias Reuß. (2011). Agent-based simulation of reactions in the crowded and structured intracellular environment: Influence of mobility and location of the reactants. BMC Systems Biology. 5(1). 71–71. 47 indexed citations

2.

Byrne, Helen M., Tingan Chen, Verónica Estrella, et al.. (2011). Multiscale Modelling of Vascular Tumour Growth in 3D: The Roles of Domain Size and Boundary Conditions. PLoS ONE. 6(4). e14790–e14790. 122 indexed citations

3.

Lapin, Alexei, Michael Klann, & Matthias Reuß. (2010). Multi-Scale Spatio-Temporal Modeling: Lifelines of Microorganisms in Bioreactors and Tracking Molecules in Cells. PubMed. 121. 23–43. 28 indexed citations

4.

Klann, Michael, Alexei Lapin, & Matthias Reuß. (2009). Stochastic Simulation of Signal Transduction: Impact of the Cellular Architecture on Diffusion. Biophysical Journal. 96(12). 5122–5129. 31 indexed citations

5.

Lapin, Alexei, et al.. (2006). Investigations of Reaction Kinetics for Immobilized Enzymes—Identification of Parameters in the Presence of Diffusion Limitation. Biotechnology Progress. 22(5). 1305–1312. 38 indexed citations

6.

Lapin, Alexei, Joachim Schmid, & Matthias Reuß. (2006). Modeling the dynamics of E. coli populations in the three-dimensional turbulent field of a stirred-tank bioreactor—A structured–segregated approach. Chemical Engineering Science. 61(14). 4783–4797. 92 indexed citations

7.

Lapin, Alexei, Dirk Müller, & Matthias Reuß. (2004). Dynamic Behavior of Microbial Populations in Stirred Bioreactors Simulated with Euler−Lagrange Methods: Traveling along the Lifelines of Single Cells. Industrial & Engineering Chemistry Research. 43(16). 4647–4656. 93 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.

Explore authors with similar magnitude of impact