Ken Jacobson

17.7k total citations · 6 hit papers
112 papers, 14.2k citations indexed

About

Ken Jacobson is a scholar working on Molecular Biology, Cell Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ken Jacobson has authored 112 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 50 papers in Cell Biology and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ken Jacobson's work include Lipid Membrane Structure and Behavior (39 papers), Cellular Mechanics and Interactions (37 papers) and Force Microscopy Techniques and Applications (13 papers). Ken Jacobson is often cited by papers focused on Lipid Membrane Structure and Behavior (39 papers), Cellular Mechanics and Interactions (37 papers) and Force Microscopy Techniques and Applications (13 papers). Ken Jacobson collaborates with scholars based in United States, Italy and Germany. Ken Jacobson's co-authors include Michael J. Saxton, Christian Dietrich, Cai Huang, Akira Ishihara, Michael D. Schaller, Richard G.W. Anderson, Ole G. Mouritsen, Erin D. Sheets, Rudolf Simson and Moshe Levi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ken Jacobson

106 papers receiving 13.9k citations

Hit Papers

SINGLE-PARTICLE TRACKING:... 1997 2026 2006 2016 1997 2001 2007 2004 2002 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ken Jacobson 8.6k 5.1k 2.9k 2.4k 1.6k 112 14.2k
Paul Matsudaira 7.9k 0.9× 5.3k 1.0× 3.1k 1.1× 1.4k 0.6× 678 0.4× 285 18.2k
Gaudenz Danuser 8.2k 1.0× 9.9k 2.0× 3.2k 1.1× 1.4k 0.6× 3.1k 1.9× 210 17.7k
Akihiro Kusumi 9.9k 1.2× 2.9k 0.6× 1.9k 0.6× 2.4k 1.0× 2.7k 1.6× 123 13.1k
Günther Gerisch 6.5k 0.8× 8.6k 1.7× 2.5k 0.9× 1.5k 0.6× 1.7k 1.0× 200 13.7k
Denis Wirtz 8.8k 1.0× 9.5k 1.9× 5.8k 2.0× 2.3k 1.0× 1.1k 0.7× 258 22.5k
R. Dyche Mullins 5.5k 0.6× 7.5k 1.5× 1.5k 0.5× 1.1k 0.5× 1.5k 0.9× 86 12.3k
Julie A. Theriot 5.5k 0.6× 5.7k 1.1× 2.3k 0.8× 1.2k 0.5× 1.4k 0.8× 163 13.5k
Guillaume Charras 3.9k 0.5× 7.6k 1.5× 3.4k 1.2× 1.4k 0.6× 823 0.5× 118 12.1k
John W. Sedat 12.4k 1.4× 3.4k 0.7× 2.0k 0.7× 1.1k 0.4× 3.5k 2.1× 163 18.9k
Jay T. Groves 8.1k 0.9× 2.2k 0.4× 2.8k 1.0× 2.0k 0.8× 875 0.5× 197 12.3k

Countries citing papers authored by Ken Jacobson

Since Specialization
Citations

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

Fields of papers citing papers by Ken Jacobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Jacobson

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Jacobson. A scholar is included among the top collaborators of Ken Jacobson 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 Ken Jacobson. Ken Jacobson 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.
Jacobson, Ken, Ping Liu, & B. Christoffer Lagerholm. (2019). The Lateral Organization and Mobility of Plasma Membrane Components. Cell. 177(4). 806–819. 174 indexed citations
2.
Monteith, Andrew J., Heather A. Vincent, SunAh Kang, et al.. (2018). mTORC2 Activity Disrupts Lysosome Acidification in Systemic Lupus Erythematosus by Impairing Caspase-1 Cleavage of Rab39a. The Journal of Immunology. 201(2). 371–382. 17 indexed citations
3.
Liu, Ping, Violetta Weinreb, Laurie Betts, et al.. (2017). Rapid, directed transport of DC-SIGN clusters in the plasma membrane. Science Advances. 3(11). eaao1616–eaao1616. 8 indexed citations
4.
Itano, Michelle S., Matthew S. Graus, Carolyn Pehlke, et al.. (2014). Super-resolution imaging of C-type lectin spatial rearrangement within the dendritic cell plasma membrane at fungal microbe contact sites. Frontiers in Physics. 2. 22 indexed citations
5.
Trepat, Xavier, Zaozao Chen, & Ken Jacobson. (2012). Cell Migration. Comprehensive physiology. 2(4). 2369–2392. 26 indexed citations
6.
Itano, Michelle S., Christian Steinhauer, Jürgen J. Schmied, et al.. (2012). Super-Resolution Imaging of C-Type Lectin and Influenza Hemagglutinin Nanodomains on Plasma Membranes Using Blink Microscopy. Biophysical Journal. 102(7). 1534–1542. 37 indexed citations
7.
Itano, Michelle S., Aaron K. Neumann, Ping Liu, et al.. (2011). DC-SIGN and Influenza Hemagglutinin Dynamics in Plasma Membrane Microdomains Are Markedly Different. Biophysical Journal. 100(11). 2662–2670. 36 indexed citations
8.
Costigliola, Nancy, Maryna Kapustina, Gabriel E. Weinreb, et al.. (2010). RhoA Regulates Calcium-Independent Periodic Contractions of the Cell Cortex. Biophysical Journal. 99(4). 1053–1063. 11 indexed citations
9.
Weinreb, Gabriel E., Maryna Kapustina, Ken Jacobson, & Timothy C. Elston. (2009). In Silico Generation of Alternative Hypotheses Using Causal Mapping (CMAP). PLoS ONE. 4(4). e5378–e5378. 1 indexed citations
10.
Rubinstein, Boris, et al.. (2009). Actin-Myosin Viscoelastic Flow in the Keratocyte Lamellipod. Biophysical Journal. 97(7). 1853–1863. 138 indexed citations
11.
Rajfur, Zenon, et al.. (2007). Immobilization of the Type XIV Myosin Complex inToxoplasma gondii. Molecular Biology of the Cell. 18(8). 3039–3046. 59 indexed citations
12.
Lagerholm, B. Christoffer, et al.. (2006). Analysis Method for Measuring Submicroscopic Distances with Blinking Quantum Dots. Biophysical Journal. 91(8). 3050–3060. 40 indexed citations
13.
Chen, Yun, B. Christoffer Lagerholm, Bing Yang, & Ken Jacobson. (2006). Methods to measure the lateral diffusion of membrane lipids and proteins. Methods. 39(2). 147–153. 117 indexed citations
14.
Humphrey, David M., Zenon Rajfur, M. Eugenio Vázquez, et al.. (2005). In Situ Photoactivation of a Caged Phosphotyrosine Peptide Derived from Focal Adhesion Kinase Temporarily Halts Lamellar Extension of Single Migrating Tumor Cells. Journal of Biological Chemistry. 280(23). 22091–22101. 28 indexed citations
15.
Dietrich, Christian, Bing Yang, Takahiro Fujiwara, Akihiro Kusumi, & Ken Jacobson. (2002). Relationship of Lipid Rafts to Transient Confinement Zones Detected by Single Particle Tracking. Biophysical Journal. 82(1). 274–284. 338 indexed citations
16.
Roy, Partha, Zenon Rajfur, Paweł Pomorski, & Ken Jacobson. (2002). Microscope-based techniques to study cell adhesion and migration. Nature Cell Biology. 4(4). E91–E96. 57 indexed citations
17.
Jacobson, Ken, et al.. (2001). Lipid rafts in model and biological membranes. Biophysical Journal. 80(1). 19 indexed citations
18.
Rajfur, Zenon, et al.. (2001). Induction of cortical oscillations in spreading cells by depolymerization of microtubules. Cell Motility and the Cytoskeleton. 48(4). 235–244. 71 indexed citations
19.
Jacobson, Ken & Christian Dietrich. (1999). Looking at lipid rafts?. Trends in Cell Biology. 9(3). 87–91. 360 indexed citations
20.
Bausch, Andreas R., et al.. (1998). Local Measurements of Viscoelastic Parameters of Adherent Cell Surfaces by Magnetic Bead Microrheometry. Biophysical Journal. 75(4). 2038–2049. 550 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.

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