Jeffrey C. Hoch

7.7k total citations · 1 hit paper
98 papers, 4.2k citations indexed

About

Jeffrey C. Hoch is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Spectroscopy. According to data from OpenAlex, Jeffrey C. Hoch has authored 98 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 41 papers in Nuclear and High Energy Physics and 38 papers in Spectroscopy. Recurrent topics in Jeffrey C. Hoch's work include NMR spectroscopy and applications (40 papers), Protein Structure and Dynamics (37 papers) and Advanced NMR Techniques and Applications (33 papers). Jeffrey C. Hoch is often cited by papers focused on NMR spectroscopy and applications (40 papers), Protein Structure and Dynamics (37 papers) and Advanced NMR Techniques and Applications (33 papers). Jeffrey C. Hoch collaborates with scholars based in United States, United Kingdom and Japan. Jeffrey C. Hoch's co-authors include S. A. Stern, Mehdi Mobli, Mark W. Maciejewski, David L. Donoho, Gerhard Wagner, Adam D. Schuyler, David Rovnyak, Iain M. Johnstone, Christopher M. Dobson and Flemming M. Poulsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jeffrey C. Hoch

96 papers receiving 4.1k citations

Hit Papers

NMRbox: A Resource for Bi... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey C. Hoch United States 39 2.0k 1.7k 1.5k 1.2k 599 98 4.2k
Vladislav Orekhov Sweden 38 3.1k 1.5× 1.8k 1.1× 1.5k 1.0× 1.2k 1.0× 713 1.2× 96 5.1k
Ēriks Kupče United Kingdom 37 2.0k 1.0× 3.6k 2.1× 2.4k 1.6× 1.7k 1.3× 1.1k 1.8× 173 5.5k
Sven G. Hyberts United States 24 1.8k 0.9× 778 0.5× 586 0.4× 531 0.4× 418 0.7× 33 2.8k
Marc‐André Delsuc France 31 1.1k 0.5× 1.1k 0.7× 625 0.4× 389 0.3× 367 0.6× 119 2.8k
Mathias Nilsson United Kingdom 44 1.2k 0.6× 3.3k 2.0× 2.9k 2.0× 1.7k 1.3× 331 0.6× 155 5.8k
Ernest D. Laue United Kingdom 53 9.1k 4.5× 1.3k 0.8× 678 0.5× 626 0.5× 1.4k 2.4× 127 12.0k
Haribabu Arthanari United States 33 2.8k 1.4× 627 0.4× 392 0.3× 471 0.4× 399 0.7× 117 4.2k
Bernhard Brutscher France 41 3.8k 1.9× 2.3k 1.4× 1.0k 0.7× 695 0.6× 1.3k 2.2× 118 5.6k
A.J. Shaka United States 37 4.4k 2.2× 4.3k 2.6× 2.5k 1.7× 1.7k 1.4× 1.6k 2.7× 95 9.7k

Countries citing papers authored by Jeffrey C. Hoch

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey C. Hoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey C. Hoch

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Hoch. A scholar is included among the top collaborators of Jeffrey C. Hoch 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 Jeffrey C. Hoch. Jeffrey C. Hoch 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.
Choudhary, Preeti, Zukang Feng, John M. Berrisford, et al.. (2024). PDB NextGen Archive: centralizing access to integrated annotations and enriched structural information by the Worldwide Protein Data Bank. Database. 2024. 6 indexed citations
2.
Gouveia, Gonçalo J., Leo L. Cheng, Chaevien Clendinen, et al.. (2024). Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging. Metabolomics. 20(2). 41–41. 5 indexed citations
3.
Li, Yunfeng, Wuxian Shi, Sridhar Sreeramulu, et al.. (2023). Crystal structure of the CoV-Y domain of SARS-CoV-2 nonstructural protein 3. Scientific Reports. 13(1). 2890–2890. 9 indexed citations
4.
Xu, Wenqing, Sameer Velankar, Ardan Patwardhan, et al.. (2023). Announcing the launch of Protein Data Bank China as an Associate Member of the Worldwide Protein Data Bank Partnership. Acta Crystallographica Section D Structural Biology. 79(9). 792–795. 12 indexed citations
5.
Wishart, David S., Leo L. Cheng, Valérie Copié, et al.. (2022). NMR and Metabolomics—A Roadmap for the Future. Metabolites. 12(8). 678–678. 101 indexed citations
6.
Baskaran, Kumaran, Hamid R. Eghbalnia, Michael R. Gryk, et al.. (2022). Merging NMR Data and Computation Facilitates Data-Centered Research. Frontiers in Molecular Biosciences. 8. 817175–817175. 5 indexed citations
7.
Feng, Zukang, John Westbrook, Raul Sala, et al.. (2021). Enhanced validation of small-molecule ligands and carbohydrates in the Protein Data Bank. Structure. 29(4). 393–400.e1. 21 indexed citations
8.
Baskaran, Kumaran, Jonathan R. Wedell, Leonardus M. I. Koharudin, et al.. (2021). Anomalous amide proton chemical shifts as signatures of hydrogen bonding to aromatic sidechains. SHILAP Revista de lepidopterología. 2(2). 765–775. 6 indexed citations
9.
Velankar, Sameer, S.K. Burley, Genji Kurisu, Jeffrey C. Hoch, & John L. Markley. (2021). The Protein Data Bank Archive. Methods in molecular biology. 2305. 3–21. 65 indexed citations
10.
Hoch, Jeffrey C., et al.. (2020). Sensetivity Gain in Nonuniformly Sampled NMR Experiments. Biophysical Journal. 118(3). 612a–612a. 1 indexed citations
11.
Hoch, Jeffrey C., et al.. (2019). The influence of the probability density function on spectral quality in nonuniformly sampled multidimensional NMR. Journal of Magnetic Resonance. 311. 106671–106671. 14 indexed citations
12.
Mobli, Mehdi & Jeffrey C. Hoch. (2017). Fast NMR data acquisition.
13.
Maciejewski, Mark W., Adam D. Schuyler, Michael R. Gryk, et al.. (2017). NMRbox: A Resource for Biomolecular NMR Computation. Biophysical Journal. 112(8). 1529–1534. 322 indexed citations breakdown →
14.
Maciejewski, Mark W., Adam D. Schuyler, & Jeffrey C. Hoch. (2017). Practical Nonuniform Sampling and Non-Fourier Spectral Reconstruction for Multidimensional NMR. Methods in molecular biology. 1688. 341–352. 5 indexed citations
15.
Suiter, Christopher L., Geneive E. Henry, James Rovnyak, et al.. (2015). Sensitivity of Nonuniform Sampling NMR. The Journal of Physical Chemistry B. 119(22). 6502–6515. 79 indexed citations
16.
Mobli, Mehdi, Mark W. Maciejewski, Michael R. Gryk, & Jeffrey C. Hoch. (2007). Automatic maximum entropy spectral reconstruction in NMR. Journal of Biomolecular NMR. 39(2). 133–139. 43 indexed citations
17.
Teilum, Kaare, Jeffrey C. Hoch, Vincent Goffin, et al.. (2005). Solution Structure of Human Prolactin. Journal of Molecular Biology. 351(4). 810–823. 85 indexed citations
18.
Hoch, Jeffrey C. & S. A. Stern. (2002). Maximum Entropy Reconstruction, Spectrum Analysis and Deconvolution in Multidimensional Nuclear Magnetic Resonance. Methods in enzymology on CD-ROM/Methods in enzymology. 338. 159–178. 56 indexed citations
19.
Schmieder, Peter, S. A. Stern, Gerhard Wagner, & Jeffrey C. Hoch. (1997). Quantification of Maximum-Entropy Spectrum Reconstructions. Journal of Magnetic Resonance. 125(2). 332–339. 49 indexed citations
20.
Hoch, Jeffrey C. & Ronald M. Milburn. (1979). Kinetics of chloride substitution into bis(oxalato)platinate(II) ion. Inorganic Chemistry. 18(3). 886–887. 2 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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