Jed C. Macosko

2.1k total citations
31 papers, 1.6k citations indexed

About

Jed C. Macosko is a scholar working on Molecular Biology, Cell Biology and Condensed Matter Physics. According to data from OpenAlex, Jed C. Macosko has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Cell Biology and 7 papers in Condensed Matter Physics. Recurrent topics in Jed C. Macosko's work include Microtubule and mitosis dynamics (8 papers), Micro and Nano Robotics (7 papers) and Cellular transport and secretion (6 papers). Jed C. Macosko is often cited by papers focused on Microtubule and mitosis dynamics (8 papers), Micro and Nano Robotics (7 papers) and Cellular transport and secretion (6 papers). Jed C. Macosko collaborates with scholars based in United States, Canada and Austria. Jed C. Macosko's co-authors include Yeon‐Kyun Shin, Michelle A. Poirier, Gijs J. L. Wuite, Carlos Bustamante, Charles K. F. Chan, Mark K. Bennett, Wenzhong Xiao, Chul‐Hyun Kim, Christopher A. Ross and L. Mario Amzel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and PLoS ONE.

In The Last Decade

Jed C. Macosko

31 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jed C. Macosko United States 16 1.1k 587 320 229 159 31 1.6k
Christian Brunner Switzerland 7 1.2k 1.1× 794 1.4× 231 0.7× 101 0.4× 242 1.5× 12 2.2k
Karine Gousset United States 15 1.5k 1.4× 471 0.8× 205 0.6× 135 0.6× 233 1.5× 23 2.4k
Vladan Lučić Germany 22 1.4k 1.2× 474 0.8× 407 1.3× 277 1.2× 129 0.8× 30 2.5k
Michael Vershinin United States 20 1.2k 1.1× 1.5k 2.5× 184 0.6× 269 1.2× 103 0.6× 40 2.7k
Volker Kiessling United States 30 2.4k 2.2× 945 1.6× 334 1.0× 415 1.8× 365 2.3× 66 3.0k
Ankur Jain United States 15 1.7k 1.5× 380 0.6× 192 0.6× 55 0.2× 145 0.9× 23 2.1k
Dominic Waithe United Kingdom 27 1.0k 0.9× 290 0.5× 156 0.5× 211 0.9× 220 1.4× 49 2.0k
Johannes Schöneberg Germany 18 1.2k 1.1× 670 1.1× 157 0.5× 99 0.4× 87 0.5× 33 1.7k
Steffen Frey Germany 21 2.6k 2.3× 334 0.6× 108 0.3× 114 0.5× 201 1.3× 28 3.0k
Adam T. Hammond United States 16 1.9k 1.8× 824 1.4× 121 0.4× 255 1.1× 294 1.8× 18 2.3k

Countries citing papers authored by Jed C. Macosko

Since Specialization
Citations

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

Fields of papers citing papers by Jed C. Macosko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jed C. Macosko. 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 Jed C. Macosko. The network helps show where Jed C. Macosko may publish in the future.

Co-authorship network of co-authors of Jed C. Macosko

This figure shows the co-authorship network connecting the top 25 collaborators of Jed C. Macosko. A scholar is included among the top collaborators of Jed C. Macosko 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 Jed C. Macosko. Jed C. Macosko 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.
2.
Holzwarth, G., et al.. (2020). Vesicular stomatitis virus nucleocapsids diffuse through cytoplasm by hopping from trap to trap in random directions. Scientific Reports. 10(1). 10643–10643. 7 indexed citations
3.
Macosko, Jed C., et al.. (2015). Mechanical properties of normal versus cancerous breast cells. Biomechanics and Modeling in Mechanobiology. 14(6). 1335–1347. 21 indexed citations
4.
Fallesen, Todd, Jed C. Macosko, & G. Holzwarth. (2011). Measuring the number and spacing of molecular motors propelling a gliding microtubule. Physical Review E. 83(1). 11918–11918. 13 indexed citations
5.
Fallesen, Todd, Jed C. Macosko, & G. Holzwarth. (2011). Force–velocity relationship for multiple kinesin motors pulling a magnetic bead. European Biophysics Journal. 40(9). 1071–1079. 26 indexed citations
6.
Holzwarth, G., et al.. (2009). Kinesin Velocity Increases with the Number of Motors in Gliding Assays against a simple Viscoelastic Load. Biophysical Journal. 96(3). 136a–137a. 1 indexed citations
7.
Macosko, Jed C., et al.. (2009). Kinesin velocity increases with the number of motors pulling against viscoelastic drag. European Biophysics Journal. 39(5). 801–813. 39 indexed citations
8.
Berleant, Daniel, et al.. (2009). The Genetic Code—More Than Just a Table. Cell Biochemistry and Biophysics. 55(2). 107–116. 12 indexed citations
9.
Tomé, Carla M. Lema, et al.. (2008). Intraneuronal vesicular organelle transport changes with cell population density in vitro. Neuroscience Letters. 441(2). 173–177. 2 indexed citations
10.
Turunen, Ossi, et al.. (2008). In silicoevidence for functional specialization after genome duplication in yeast. FEMS Yeast Research. 9(1). 16–31. 15 indexed citations
11.
Macosko, Jed C., Jason M. Newbern, Ernest N. Chisena, et al.. (2008). Fewer active motors per vesicle may explain slowed vesicle transport in chick motoneurons after three days in vitro. Brain Research. 1211. 6–12. 10 indexed citations
12.
DeWitt, David A., et al.. (2008). Force–Velocity Curves of Motor Proteins Cooperating In Vivo. Cell Biochemistry and Biophysics. 52(1). 19–29. 32 indexed citations
13.
Chisena, Ernest N., et al.. (2007). Speckled microtubules improve tracking in motor-protein gliding assays. Physical Biology. 4(1). 10–15. 8 indexed citations
14.
Lu, Hailong, et al.. (2004). Closing of the Fingers Domain Generates Motor Forces in the HIV Reverse Transcriptase. Journal of Biological Chemistry. 279(52). 54529–54532. 8 indexed citations
15.
Leikina, Eugenia, Danika L. LeDuc, Jed C. Macosko, et al.. (2001). The 1−127 HA2 Construct of Influenza Virus Hemagglutinin Induces Cell−Cell Hemifusion. Biochemistry. 40(28). 8378–8386. 43 indexed citations
16.
Zhou, Zhe, Jed C. Macosko, Donald W. Hughes, et al.. (2000). 15N NMR Study of the Ionization Properties of the Influenza Virus Fusion Peptide in Zwitterionic Phospholipid Dispersions. Biophysical Journal. 78(5). 2418–2425. 35 indexed citations
17.
Bustamante, Carlos, Jed C. Macosko, & Gijs J. L. Wuite. (2000). Grabbing the cat by the tail: manipulating molecules one by one. Nature Reviews Molecular Cell Biology. 1(2). 130–136. 287 indexed citations
18.
Macosko, Jed C., et al.. (1999). A novel 5′ displacement spin-labeling technique for electron paramagnetic resonance spectroscopy of RNA. RNA. 5(9). 1158–1166. 44 indexed citations
19.
Epand, Raquel F., Jed C. Macosko, Charles J. Russell, Yeon‐Kyun Shin, & Richard M. Epand. (1999). The ectodomain of HA2 of influenza virus promotes rapid ph dependent membrane fusion 1 1Edited by A. R. Fersht. Journal of Molecular Biology. 286(2). 489–503. 77 indexed citations
20.
Poirier, Michelle A., Wenzhong Xiao, Jed C. Macosko, et al.. (1998). The synaptic SNARE complex is a parallel four-stranded helical bundle. Nature Structural Biology. 5(9). 765–769. 407 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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