Isaac Klapper

5.5k total citations · 1 hit paper
68 papers, 3.6k citations indexed

About

Isaac Klapper is a scholar working on Molecular Biology, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Isaac Klapper has authored 68 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Computational Mechanics and 10 papers in Biomedical Engineering. Recurrent topics in Isaac Klapper's work include Bacterial biofilms and quorum sensing (21 papers), Slime Mold and Myxomycetes Research (9 papers) and Microbial Community Ecology and Physiology (9 papers). Isaac Klapper is often cited by papers focused on Bacterial biofilms and quorum sensing (21 papers), Slime Mold and Myxomycetes Research (9 papers) and Microbial Community Ecology and Physiology (9 papers). Isaac Klapper collaborates with scholars based in United States, United Kingdom and Italy. Isaac Klapper's co-authors include Paul Stoodley, Cory J. Rupp, J. Dockery, Kim A. Sharp, R. Hagstrom, Richard Fine, Barry Honig, Jack D. Dockery, Scott D. Wilson and Philip S. Stewart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Isaac Klapper

67 papers receiving 3.4k citations

Hit Papers

Focusing of electric fields in the active site of Cu‐Zn s... 1986 2026 1999 2012 1986 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isaac Klapper United States 29 1.9k 630 443 408 345 68 3.6k
Stefan Duhr Germany 29 2.6k 1.4× 846 1.3× 1.5k 3.5× 149 0.4× 396 1.1× 36 5.7k
Joel Stavans Israel 36 1.6k 0.8× 445 0.7× 498 1.1× 673 1.6× 1.1k 3.2× 80 4.2k
Mitsugu Matsushita Japan 32 751 0.4× 716 1.1× 248 0.6× 370 0.9× 898 2.6× 134 4.2k
B. Castaing France 36 1.1k 0.6× 510 0.8× 1.7k 3.8× 182 0.4× 248 0.7× 126 4.5k
Israël Schechter Israel 43 5.1k 2.6× 735 1.2× 252 0.6× 236 0.6× 902 2.6× 237 11.7k
Michael Elbaum Israel 39 2.2k 1.2× 521 0.8× 169 0.4× 126 0.3× 808 2.3× 126 5.4k
B. Roux France 31 1.4k 0.7× 540 0.9× 1.1k 2.4× 112 0.3× 842 2.4× 208 3.7k
S. Nakai Japan 45 1.6k 0.8× 313 0.5× 269 0.6× 79 0.2× 485 1.4× 374 8.3k
David Reguera Spain 38 960 0.5× 1.2k 1.9× 187 0.4× 954 2.3× 980 2.8× 97 4.6k
Takashi Aoki Japan 40 1.8k 0.9× 1.0k 1.7× 114 0.3× 146 0.4× 872 2.5× 335 6.1k

Countries citing papers authored by Isaac Klapper

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Klapper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Klapper

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Klapper. A scholar is included among the top collaborators of Isaac Klapper 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 Isaac Klapper. Isaac Klapper 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.
Wu, Yuehua, et al.. (2023). Water activity in subaerial microbial biofilms on stone monuments. The Science of The Total Environment. 900. 165790–165790. 4 indexed citations
2.
Raghuvanshi, Ruma, Kerri A. Neugebauer, Douglas V. Guzior, et al.. (2022). Complex and unexpected outcomes of antibiotic therapy against a polymicrobial infection. The ISME Journal. 16(9). 2065–2075. 19 indexed citations
3.
Gerlach, Robin, et al.. (2021). Bayesian estimation and uncertainty quantification in models of urea hydrolysis byE. colibiofilms. Inverse Problems in Science and Engineering. 29(11). 1629–1652. 2 indexed citations
4.
Parker, Albert E., et al.. (2020). Multiscale Flux-Based Modeling of Biofilm Communities. Multiscale Modeling and Simulation. 18(2). 1025–1052. 1 indexed citations
5.
Klapper, Isaac, et al.. (2018). Exclusion in a Temporally Varying Chemostat System: Dependence on Trade-Offs. SIAM Journal on Applied Mathematics. 78(5). 2819–2839. 2 indexed citations
6.
D’Acunto, B., Luigi Frunzo, Isaac Klapper, Maria Rosaria Mattei, & Paul Stoodley. (2018). Mathematical modeling of dispersal phenomenon in biofilms. Mathematical Biosciences. 307. 70–87. 15 indexed citations
7.
D’Acunto, B., Luigi Frunzo, Isaac Klapper, & Maria Rosaria Mattei. (2014). Modeling multispecies biofilms including new bacterial species invasion. Mathematical Biosciences. 259. 20–26. 36 indexed citations
8.
Kreft, Jan‐Ulrich, Caroline M. Plugge, Volker Grimm, et al.. (2013). Mighty small: Observing and modeling individual microbes becomes big science. Proceedings of the National Academy of Sciences. 110(45). 18027–18028. 47 indexed citations
9.
Zhang, Tianyu, et al.. (2013). General Theory for Integrated Analysis of Growth, Gene, and Protein Expression in Biofilms. PLoS ONE. 8(12). e83626–e83626. 15 indexed citations
10.
Klapper, Isaac. (2012). Productivity and Equilibrium in Simple Biofilm Models. Bulletin of Mathematical Biology. 74(12). 2917–2934. 14 indexed citations
11.
Klapper, Isaac, et al.. (2008). Measurements of accumulation and displacement at the single cell cluster level in Pseudomonas aeruginosa biofilms. Environmental Microbiology. 10(9). 2344–2354. 12 indexed citations
12.
Klapper, Isaac, et al.. (2007). A Multidimensional Multispecies Continuum Model for Heterogeneous Biofilm Development. Bulletin of Mathematical Biology. 69(7). 2445–2445. 6 indexed citations
13.
Klapper, Isaac & J. Dockery. (2006). Role of cohesion in the material description of biofilms. Physical Review E. 74(3). 31902–31902. 70 indexed citations
14.
Szomolay, Barbara, Isaac Klapper, Jack D. Dockery, & Philip S. Stewart. (2005). Adaptive responses to antimicrobial agents in biofilms. Environmental Microbiology. 7(8). 1186–1191. 104 indexed citations
15.
Shaw, T. L., et al.. (2004). Commonality of Elastic Relaxation Times in Biofilms. Physical Review Letters. 93(9). 98102–98102. 197 indexed citations
16.
Stoodley, Paul, et al.. (2002). Biofilm material properties as related to shear-induced deformation and detachment phenomena. Journal of Industrial Microbiology & Biotechnology. 29(6). 361–367. 390 indexed citations
17.
Klapper, Isaac, et al.. (2002). Viscoelastic fluid description of bacterial biofilm material properties. Biotechnology and Bioengineering. 80(3). 289–296. 239 indexed citations
18.
Caflisch, Russel E., Isaac Klapper, & Gregory V. Steele. (1997). Remarks on Singularities, Dimension and Energy Dissipation for Ideal Hydrodynamics and MHD. Communications in Mathematical Physics. 184(2). 443–455. 188 indexed citations
19.
Klapper, Isaac, et al.. (1995). FORMULAE FOR THE CALCULATION AND ESTIMATION OF WRITHE. Journal of Knot Theory and Its Ramifications. 4(3). 343–372. 33 indexed citations
20.
Klapper, Isaac. (1992). A study of fast dynamo action in chaotic helical cells. Journal of Fluid Mechanics. 239. 359–381. 8 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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