Christopher P. Calderon

833 total citations · 1 hit paper
39 papers, 578 citations indexed

About

Christopher P. Calderon is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Christopher P. Calderon has authored 39 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Biomedical Engineering and 10 papers in Biophysics. Recurrent topics in Christopher P. Calderon's work include Protein purification and stability (11 papers), Microfluidic and Bio-sensing Technologies (10 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Christopher P. Calderon is often cited by papers focused on Protein purification and stability (11 papers), Microfluidic and Bio-sensing Technologies (10 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Christopher P. Calderon collaborates with scholars based in United States, France and United Kingdom. Christopher P. Calderon's co-authors include Theodore W. Randolph, Ching‐Hwa Kiang, Nolan C. Harris, Antony Lee, Carlos Bustamante, Steve Pressé, Konstantinos Tsekouras, Dennis D. Cox, Kuan‐Jiuh Lin and Wei‐Hung Chen and has published in prestigious journals such as Nature, Chemical Reviews and The Journal of Chemical Physics.

In The Last Decade

Christopher P. Calderon

38 papers receiving 549 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Motion of VAPB molecules reveals ER–mitochondria contact site subdomains

2024 48 citations Christopher J. Obara, Jonathon Nixon‐Abell et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher P. Calderon United States	15	318	172	168	91	45	39	578
Natascha Leijnse Denmark	9	253 0.8×	212 1.2×	36 0.2×	92 1.0×	18 0.4×	17	715
Konstantinos Tsekouras United States	9	176 0.6×	96 0.6×	94 0.6×	38 0.4×	22 0.5×	13	454
Yuichi Togashi Japan	16	564 1.8×	84 0.5×	41 0.2×	95 1.0×	20 0.4×	43	777
Manas Rachh United States	9	176 0.6×	40 0.2×	48 0.3×	49 0.5×	16 0.4×	27	491
Yasmine Meroz Israel	14	292 0.9×	91 0.5×	36 0.2×	68 0.7×	12 0.3×	33	724
S. M. Ali Tabei United States	13	421 1.3×	75 0.4×	50 0.3×	105 1.2×	13 0.3×	27	910
Dirk Lebiedz Germany	17	366 1.2×	178 1.0×	40 0.2×	83 0.9×	8 0.2×	46	947
Vijay Raj Singh Singapore	18	233 0.7×	230 1.3×	106 0.6×	380 4.2×	16 0.4×	57	811
Fabian Dingfelder Switzerland	9	400 1.3×	77 0.4×	111 0.7×	43 0.5×	79 1.8×	13	545
Martin Häcker Germany	8	81 0.3×	115 0.7×	158 0.9×	237 2.6×	13 0.3×	15	492

Countries citing papers authored by Christopher P. Calderon

Since Specialization

Citations

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

Fields of papers citing papers by Christopher P. Calderon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Calderon. 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 Christopher P. Calderon. The network helps show where Christopher P. Calderon may publish in the future.

Co-authorship network of co-authors of Christopher P. Calderon

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

All Works

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20 of 20 papers shown

Johann, Florian, et al.. (2024). Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses. Journal of Pharmaceutical Sciences. 113(5). 1177–1189. 2 indexed citations

Calderon, Christopher P., et al.. (2024). Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning. Journal of Pharmaceutical Sciences. 113(8). 2114–2127. 4 indexed citations

Obara, Christopher J., Jonathon Nixon‐Abell, Andrew S. Moore, et al.. (2024). Motion of VAPB molecules reveals ER–mitochondria contact site subdomains. Nature. 626(7997). 169–176. 48 indexed citations breakdown →

Feldman, Naomi H., et al.. (2023). Interfacial Adsorption Controls Particle Formation in Antibody Formulations Subjected to Extensional Flows and Hydrodynamic Shear. Journal of Pharmaceutical Sciences. 112(11). 2766–2777. 13 indexed citations

Feldman, Naomi H., et al.. (2022). Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation. Journal of Pharmaceutical Sciences. 111(10). 2730–2744. 18 indexed citations

Calderon, Christopher P., et al.. (2022). Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles. Journal of Pharmaceutical Sciences. 111(9). 2422–2434. 13 indexed citations

Calderon, Christopher P., et al.. (2021). Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping. Journal of Pharmaceutical Sciences. 110(7). 2743–2752. 23 indexed citations

Calderon, Christopher P., et al.. (2020). Machine learning and statistical analyses for extracting and characterizing “fingerprints” of antibody aggregation at container interfaces from flow microscopy images. Biotechnology and Bioengineering. 117(11). 3322–3335. 34 indexed citations

Calderon, Christopher P., et al.. (2020). Statistical Inference of Transport Mechanisms and Long Time Scale Behavior from Time Series of Solute Trajectories in Nanostructured Membranes. The Journal of Physical Chemistry B. 124(37). 8110–8123. 6 indexed citations

10.

Lee, Antony, Konstantinos Tsekouras, Christopher P. Calderon, Carlos Bustamante, & Steve Pressé. (2017). Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis. Chemical Reviews. 117(11). 7276–7330. 65 indexed citations

11.

Calderon, Christopher P.. (2016). Motion blur filtering: A statistical approach for extracting confinement forces and diffusivity from a single blurred trajectory. Physical review. E. 93(5). 53303–53303. 23 indexed citations

12.

Calderon, Christopher P. & Kerry Bloom. (2015). Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments. PLoS ONE. 10(9). e0137633–e0137633. 14 indexed citations

13.

Calderon, Christopher P., Lucien E. Weiss, & W. E. Moerner. (2014). Robust hypothesis tests for detecting statistical evidence of two-dimensional and three-dimensional interactions in single-molecule measurements. Physical Review E. 89(5). 52705–52705. 7 indexed citations

14.

Calderon, Christopher P.. (2013). Correcting for bias of molecular confinement parameters induced by small-time-series sample sizes in single-molecule trajectories containing measurement noise. Physical Review E. 88(1). 12707–12707. 6 indexed citations

15.

Calderon, Christopher P., Michael A. Thompson, Jason M. Casolari, Randy Paffenroth, & W. E. Moerner. (2013). Quantifying Transient 3D Dynamical Phenomena of Single mRNA Particles in Live Yeast Cell Measurements. The Journal of Physical Chemistry B. 117(49). 15701–15713. 14 indexed citations

16.

Calderon, Christopher P., et al.. (2010). P-Splines Using Derivative Information. Multiscale Modeling and Simulation. 8(4). 1562–1580. 7 indexed citations

17.

Calderon, Christopher P., Nolan C. Harris, Ching‐Hwa Kiang, & Dennis D. Cox. (2009). Analyzing single‐molecule manipulation experiments. Journal of Molecular Recognition. 22(5). 356–362. 14 indexed citations

18.

Calderon, Christopher P.. (2009). Data-driven approach to decomposing complex enzyme kinetics with surrogate models. Physical Review E. 80(6). 61118–61118. 4 indexed citations

19.

Calderon, Christopher P., Wei‐Hung Chen, Kuan‐Jiuh Lin, Nolan C. Harris, & Ching‐Hwa Kiang. (2008). Quantifying DNA melting transitions using single-molecule force spectroscopy. Journal of Physics Condensed Matter. 21(3). 34114–34114. 41 indexed citations

20.

Calderon, Christopher P. & Karunesh Arora. (2008). Extracting Kinetic and Stationary Distribution Information from Short MD Trajectories via a Collection of Surrogate Diffusion Models. Journal of Chemical Theory and Computation. 5(1). 47–58. 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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