Robert Walder

700 total citations
22 papers, 577 citations indexed

About

Robert Walder is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Robert Walder has authored 22 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 8 papers in Molecular Biology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Robert Walder's work include Force Microscopy Techniques and Applications (13 papers), Molecular Junctions and Nanostructures (6 papers) and Mechanical and Optical Resonators (6 papers). Robert Walder is often cited by papers focused on Force Microscopy Techniques and Applications (13 papers), Molecular Junctions and Nanostructures (6 papers) and Mechanical and Optical Resonators (6 papers). Robert Walder collaborates with scholars based in United States, Germany and Canada. Robert Walder's co-authors include Daniel K. Schwartz, Mark Kastantin, Thomas T. Perkins, Andrei Honciuc, Devin T. Edwards, Marcelo C. Sousa, Michael Dennin, Matthew S. Bull, Aric W. Sanders and David Rabuka and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.

In The Last Decade

Robert Walder

22 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Walder United States 15 264 250 148 101 90 22 577
Lydia Kisley United States 18 492 1.9× 117 0.5× 319 2.2× 95 0.9× 151 1.7× 42 995
Martin Hoefling Germany 11 558 2.1× 158 0.6× 124 0.8× 131 1.3× 80 0.9× 12 922
Jeffrey Vieregg United States 11 417 1.6× 183 0.7× 83 0.6× 72 0.7× 127 1.4× 18 879
Timothy V. Ratto United States 18 633 2.4× 611 2.4× 340 2.3× 275 2.7× 49 0.5× 23 1.1k
Thierry Charitat France 18 870 3.3× 495 2.0× 325 2.2× 73 0.7× 148 1.6× 41 1.2k
Joachim Raedler Germany 6 323 1.2× 186 0.7× 173 1.2× 43 0.4× 133 1.5× 9 566
Jianxun Mou United States 10 589 2.2× 724 2.9× 236 1.6× 179 1.8× 57 0.6× 14 1.0k
Joshua N. Mabry United States 7 145 0.5× 85 0.3× 124 0.8× 34 0.3× 62 0.7× 7 368
Mariana Köber Spain 13 279 1.1× 162 0.6× 187 1.3× 89 0.9× 20 0.2× 29 667
Natalia Ziębacz Poland 10 247 0.9× 80 0.3× 187 1.3× 19 0.2× 33 0.4× 13 652

Countries citing papers authored by Robert Walder

Since Specialization
Citations

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

Fields of papers citing papers by Robert Walder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Walder

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Walder. A scholar is included among the top collaborators of Robert Walder 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 Robert Walder. Robert Walder 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.
Walder, Robert, et al.. (2018). High-Precision Single-Molecule Characterization of the Folding of an HIV RNA Hairpin by Atomic Force Microscopy. Nano Letters. 18(10). 6318–6325. 34 indexed citations
2.
Walder, Robert, et al.. (2017). Mechanical Characterization of the HIV-1 RNA Hairpin using an Atomic Force Microscope. Biophysical Journal. 112(3). 166a–166a. 1 indexed citations
3.
Walder, Robert, Devin T. Edwards, Ruby May A. Sullan, et al.. (2017). Rapid Characterization of a Mechanically Labile α-Helical Protein Enabled by Efficient Site-Specific Bioconjugation. Journal of the American Chemical Society. 139(29). 9867–9875. 63 indexed citations
4.
Walder, Robert, et al.. (2017). A Computationally Designed Protein-Ligand Interaction is Mechanically Robust. Biophysical Journal. 112(3). 455a–455a. 1 indexed citations
5.
Edwards, Devin T., et al.. (2017). Heterobifunctional Polyprotein for Efficient Characterization of Mechanically Labile Proteins. Biophysical Journal. 112(3). 455a–456a. 1 indexed citations
6.
Walder, Robert, et al.. (2017). Going Vertical To Improve the Accuracy of Atomic Force Microscopy Based Single-Molecule Force Spectroscopy. ACS Nano. 12(1). 198–207. 19 indexed citations
7.
Walder, Robert, et al.. (2017). Improved Free‐Energy Landscape Quantification Illustrated with a Computationally Designed Protein–Ligand Interaction. ChemPhysChem. 19(1). 19–23. 8 indexed citations
8.
Walder, Robert, D. Hern Paik, Matthew S. Bull, Carl O. Sauer, & Thomas T. Perkins. (2015). Ultrastable measurement platform: sub-nm drift over hours in 3D at room temperature. Optics Express. 23(13). 16554–16554. 12 indexed citations
9.
Edwards, Devin T., Aric W. Sanders, Matthew S. Bull, et al.. (2015). Optimizing 1-μs-Resolution Single-Molecule Force Spectroscopy on a Commercial Atomic Force Microscope. Nano Letters. 15(10). 7091–7098. 55 indexed citations
10.
Kastantin, Mark, et al.. (2013). Interfacial Protein–Protein Associations. Biomacromolecules. 15(1). 66–74. 19 indexed citations
11.
Walder, Robert, Mark Kastantin, & Daniel K. Schwartz. (2012). High throughput single molecule tracking for analysis of rare populations and events. The Analyst. 137(13). 2987–2987. 46 indexed citations
12.
Walder, Robert, et al.. (2012). Stokes–Einstein and desorption-mediated diffusion of protein molecules at the oil–water interface. Soft Matter. 8(22). 6000–6000. 16 indexed citations
13.
Kastantin, Mark, Robert Walder, & Daniel K. Schwartz. (2012). Identifying Mechanisms of Interfacial Dynamics Using Single-Molecule Tracking. Langmuir. 28(34). 12443–12456. 50 indexed citations
14.
Walder, Robert, et al.. (2012). Single Molecule Dynamics on Hydrophobic Self-Assembled Monolayers. Langmuir. 28(33). 12108–12113. 13 indexed citations
15.
Walder, Robert, et al.. (2011). Super-resolution surface mapping using the trajectories of molecular probes. Nature Communications. 2(1). 515–515. 32 indexed citations
16.
Walder, Robert, et al.. (2011). Single Molecule Observations of Desorption-Mediated Diffusion at the Solid-Liquid Interface. Physical Review Letters. 107(15). 156102–156102. 63 indexed citations
17.
Walder, Robert & Daniel K. Schwartz. (2011). Dynamics of protein aggregation at the oil–water interface characterized by single molecule TIRF microscopy. Soft Matter. 7(17). 7616–7616. 35 indexed citations
18.
Walder, Robert & Daniel K. Schwartz. (2010). Single Molecule Observations of Multiple Protein Populations at the Oil−Water Interface. Langmuir. 26(16). 13364–13367. 34 indexed citations
19.
Walder, Robert, Andrei Honciuc, & Daniel K. Schwartz. (2010). Phospholipid Diffusion at the Oil−Water Interface. The Journal of Physical Chemistry B. 114(35). 11484–11488. 28 indexed citations
20.
Walder, Robert, Alex J. Levine, & Michael Dennin. (2008). Rheology of two-dimensional F-actin networks associated with a lipid interface. Physical Review E. 77(1). 11909–11909. 14 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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