Joshua L. Adelman

950 total citations
17 papers, 529 citations indexed

About

Joshua L. Adelman is a scholar working on Molecular Biology, Surgery and Clinical Biochemistry. According to data from OpenAlex, Joshua L. Adelman has authored 17 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Clinical Biochemistry. Recurrent topics in Joshua L. Adelman's work include Protein Structure and Dynamics (8 papers), Mitochondrial Function and Pathology (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Joshua L. Adelman is often cited by papers focused on Protein Structure and Dynamics (8 papers), Mitochondrial Function and Pathology (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Joshua L. Adelman collaborates with scholars based in United States, France and Ghana. Joshua L. Adelman's co-authors include Michael Grabe, Daniel M. Zuckerman, Ernesto Suárez, Jeff Abramson, Matthew C. Zwier, Lillian T. Chong, Jacques‐Philippe Colletier, Om Prakash Choudhary, Aviv Paz and Adam J. Pratt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Joshua L. Adelman

17 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua L. Adelman United States 11 454 75 66 52 44 17 529
Cheng Tan Japan 15 624 1.4× 76 1.0× 38 0.6× 39 0.8× 51 1.2× 28 718
Philip Winter Canada 13 395 0.9× 47 0.6× 86 1.3× 39 0.8× 28 0.6× 23 540
Kristoffer E. Johansson Denmark 16 494 1.1× 185 2.5× 60 0.9× 66 1.3× 29 0.7× 34 673
Christina Bergonzo United States 13 769 1.7× 94 1.3× 45 0.7× 51 1.0× 47 1.1× 36 843
Spyridon Vicatos United States 8 393 0.9× 110 1.5× 37 0.6× 26 0.5× 63 1.4× 9 475
Clarisse G. Ricci United States 10 369 0.8× 51 0.7× 32 0.5× 41 0.8× 20 0.5× 21 501
Predrag Kukić United Kingdom 16 538 1.2× 155 2.1× 83 1.3× 30 0.6× 41 0.9× 37 732
Akshay Sridhar United Kingdom 12 476 1.0× 54 0.7× 31 0.5× 23 0.4× 23 0.5× 20 659
Tamara Frembgen-Kesner United States 6 503 1.1× 184 2.5× 61 0.9× 29 0.6× 40 0.9× 6 642
Levani Zandarashvili United States 17 850 1.9× 67 0.9× 106 1.6× 62 1.2× 32 0.7× 22 1.1k

Countries citing papers authored by Joshua L. Adelman

Since Specialization
Citations

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

Fields of papers citing papers by Joshua L. Adelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua L. Adelman. 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 Joshua L. Adelman. The network helps show where Joshua L. Adelman may publish in the future.

Co-authorship network of co-authors of Joshua L. Adelman

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

All Works

17 of 17 papers shown
1.
Zhang, She, Anthony T. Bogetti, Jeffrey P. Thompson, et al.. (2022). WESTPA 2.0: High-Performance Upgrades for Weighted Ensemble Simulations and Analysis of Longer-Timescale Applications. Journal of Chemical Theory and Computation. 18(2). 638–649. 49 indexed citations
2.
Suárez, Ernesto, Joshua L. Adelman, & Daniel M. Zuckerman. (2017). Mechanism Beyond Markov Models: History Information is Needed for Unbiased Pathway Reconstruction of Protein Folding. Biophysical Journal. 112(3). 289a–290a. 1 indexed citations
3.
Suárez, Ernesto, Joshua L. Adelman, & Daniel M. Zuckerman. (2016). Accurate Estimation of Protein Folding and Unfolding Times: Beyond Markov State Models. Journal of Chemical Theory and Computation. 12(8). 3473–3481. 47 indexed citations
4.
Adelman, Joshua L., Chiara Ghezzi, Paola Bisignano, et al.. (2016). Stochastic steps in secondary active sugar transport. Proceedings of the National Academy of Sciences. 113(27). E3960–6. 31 indexed citations
5.
McGibbon, Robert T., Matthew P. Harrigan, Bharath Ramsundar, et al.. (2016). msmbuilder: MSMBuilder 3.5. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
McGibbon, Robert T., Matthew P. Harrigan, Bharath Ramsundar, et al.. (2016). msmbuilder: MSMBuilder 3.4. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
7.
Zwier, Matthew C., Joshua L. Adelman, Joseph W. Kaus, et al.. (2015). WESTPA: An Interoperable, Highly Scalable Software Package for Weighted Ensemble Simulation and Analysis. Journal of Chemical Theory and Computation. 11(2). 800–809. 99 indexed citations
8.
Buck, Teresa M., Rick Jordan, James Lyons‐Weiler, et al.. (2015). Expression of three topologically distinct membrane proteins elicits unique stress response pathways in the yeastSaccharomyces cerevisiae. Physiological Genomics. 47(6). 198–214. 9 indexed citations
9.
Adelman, Joshua L. & Michael Grabe. (2015). Simulating Current–Voltage Relationships for a Narrow Ion Channel Using the Weighted Ensemble Method. Journal of Chemical Theory and Computation. 11(4). 1907–1918. 17 indexed citations
10.
Choudhary, Om Prakash, Aviv Paz, Joshua L. Adelman, et al.. (2014). Structure-guided simulations illuminate the mechanism of ATP transport through VDAC1. Nature Structural & Molecular Biology. 21(7). 626–632. 80 indexed citations
11.
Choudhary, Om Prakash, Aviv Paz, Joshua L. Adelman, et al.. (2014). Characterizing ATP Permeation through the Voltage-Dependent Anion Channel VDAC. Biophysical Journal. 106(2). 147a–148a. 1 indexed citations
12.
Adelman, Joshua L., Seungho Choe, Jeff Abramson, et al.. (2014). Structural Determinants of Water Permeation through the Sodium-Galactose Transporter vSGLT. Biophysical Journal. 106(6). 1280–1289. 24 indexed citations
13.
Choudhary, Om Prakash, Joshua L. Adelman, Jeff Abramson, & Michael Grabe. (2012). Characterizing ATP Permeation through mVDAC1 using Markov State Models (MSMs). Biophysical Journal. 102(3). 550a–550a. 2 indexed citations
14.
Adelman, Joshua L., Matthew C. Zwier, Divesh Bhatt, et al.. (2011). Simulations of the Alternating Access Mechanism of the Sodium Symporter Mhp1. Biophysical Journal. 101(10). 2399–2407. 48 indexed citations
15.
Kashlan, Ossama B., Joshua L. Adelman, Brandon M. Blobner, et al.. (2010). Constraint-based, Homology Model of the Extracellular Domain of the Epithelial Na+ Channel α Subunit Reveals a Mechanism of Channel Activation by Proteases. Journal of Biological Chemistry. 286(1). 649–660. 56 indexed citations
16.
Adelman, Joshua L., John D. Chodera, I‐Feng W. Kuo, Thomas F. Miller, & Daniel Barsky. (2010). The Mechanical Properties of PCNA: Implications for the Loading and Function of a DNA Sliding Clamp. Biophysical Journal. 98(12). 3062–3069. 19 indexed citations
17.
Adelman, Joshua L., Yong-Joo Jeong, Jung‐Chi Liao, et al.. (2006). Mechanochemistry of Transcription Termination Factor Rho. Molecular Cell. 22(5). 611–621. 43 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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