Michael Hoch

2.9k total citations · 1 hit paper
101 papers, 1.8k citations indexed

About

Michael Hoch is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Michael Hoch has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Materials Chemistry and 20 papers in Mechanical Engineering. Recurrent topics in Michael Hoch's work include Advanced Neuroimaging Techniques and Applications (15 papers), Thermodynamic and Structural Properties of Metals and Alloys (13 papers) and Chemical Thermodynamics and Molecular Structure (12 papers). Michael Hoch is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Thermodynamic and Structural Properties of Metals and Alloys (13 papers) and Chemical Thermodynamics and Molecular Structure (12 papers). Michael Hoch collaborates with scholars based in United States, Germany and France. Michael Hoch's co-authors include J. T. Markert, R. M. Cotts, Tao Sun, D. C. Douglass, K.T. Gillen, Brent D. Weinberg, Timothy M. Shepherd, Mary Bruno, Ruei-Sung Lin and Peter C. Litwinowicz and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of The Electrochemical Society.

In The Last Decade

Michael Hoch

90 papers receiving 1.7k citations

Hit Papers

Pulsed field gradient stimulated echo methods for improve... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Hoch United States 20 496 446 324 249 212 101 1.8k
Bing Wu China 32 2.3k 4.6× 227 0.5× 352 1.1× 426 1.7× 432 2.0× 123 4.0k
Jianhui Zhong United States 25 2.6k 5.2× 409 0.9× 451 1.4× 329 1.3× 256 1.2× 70 3.8k
Satoshi Fujita Japan 30 107 0.2× 273 0.6× 358 1.1× 100 0.4× 662 3.1× 223 4.5k
W. S. Moore United Kingdom 19 663 1.3× 300 0.7× 165 0.5× 216 0.9× 270 1.3× 61 1.7k
Brian D. Pate Canada 32 425 0.9× 489 1.1× 483 1.5× 81 0.3× 260 1.2× 120 3.3k
Makoto Inoue Japan 37 1.9k 3.9× 461 1.0× 361 1.1× 38 0.2× 224 1.1× 331 5.5k
Kecheng Liu China 16 1.6k 3.1× 95 0.2× 195 0.6× 171 0.7× 176 0.8× 38 2.0k
Oliver Geier Norway 18 387 0.8× 147 0.3× 126 0.4× 134 0.5× 91 0.4× 48 928
Jerome L. Ackerman United States 31 1.9k 3.9× 806 1.8× 701 2.2× 1.1k 4.5× 566 2.7× 93 3.7k
Richard P. Kennan United States 33 2.4k 4.9× 273 0.6× 279 0.9× 333 1.3× 483 2.3× 65 3.5k

Countries citing papers authored by Michael Hoch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hoch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hoch. A scholar is included among the top collaborators of Michael 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 Michael Hoch. Michael 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
2.
Risk, Benjamin B., et al.. (2024). Interrater Agreement of BT-RADS for Evaluation of Follow-up MRI in Patients with Treated Primary Brain Tumor. American Journal of Neuroradiology. 45(9). 1308–1315. 3 indexed citations
3.
Shepherd, Timothy M. & Michael Hoch. (2022). MRI-Visible Anatomy of the Brainstem. Neuroimaging Clinics of North America. 32(3). 553–564. 3 indexed citations
4.
Hoch, Michael & Timothy M. Shepherd. (2022). MRI-Visible Anatomy of the Basal Ganglia and Thalamus. Neuroimaging Clinics of North America. 32(3). 529–541. 5 indexed citations
5.
Hoch, Michael, Mary Bruno, Donato Pacione, et al.. (2021). Simultaneous Multislice for Accelerating Diffusion MRI in Clinical Neuroradiology Protocols. American Journal of Neuroradiology. 42(8). 1437–1443. 5 indexed citations
6.
Hu, Ranliang & Michael Hoch. (2021). Application of Diffusion Weighted Imaging and Diffusion Tensor Imaging in the Pretreatment and Post-treatment of Brain Tumor. Radiologic Clinics of North America. 59(3). 335–347. 11 indexed citations
7.
Braileanu, Maria, Michael Hoch, Sandra Rincon, & Brent D. Weinberg. (2021). Hirayama-like disease in the thoracic spine. SHILAP Revista de lepidopterología. 16(5). 1216–1219.
8.
Weinberg, Brent D., et al.. (2020). CT Myelography: Clinical Indications and Imaging Findings. Radiographics. 40(2). 470–484. 35 indexed citations
9.
Kim, Sera, et al.. (2020). Using a Website to Teach a Structured Reporting System, the Brain Tumor Reporting and Data System. Current Problems in Diagnostic Radiology. 50(3). 356–361. 9 indexed citations
10.
11.
Hoch, Michael, et al.. (2019). Institutional Implementation of a Structured Reporting System: Our Experience with the Brain Tumor Reporting and Data System. Academic Radiology. 26(7). 974–980. 31 indexed citations
12.
Zhang, James Y., Brent D. Weinberg, Ranliang Hu, et al.. (2019). Quantitative Improvement in Brain Tumor MRI Through Structured Reporting (BT-RADS). Academic Radiology. 27(6). 780–784. 28 indexed citations
13.
Braileanu, Maria, Ranliang Hu, Michael Hoch, et al.. (2019). Pre-operative MRI predictors of hormonal remission status post pituitary adenoma resection. Clinical Imaging. 55. 29–34. 9 indexed citations
14.
Hoch, Michael, Mary Bruno, Arline Faustin, et al.. (2019). 3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 2: Basal Forebrain. American Journal of Neuroradiology. 40(7). 1095–1105. 14 indexed citations
15.
Hoch, Michael, Sohil H. Patel, Daniel Jethanamest, et al.. (2017). Head and Neck MRI Findings in CHARGE Syndrome. American Journal of Neuroradiology. 38(12). 2357–2363. 31 indexed citations
16.
Hoch, Michael, Sohae Chung, Noam Ben‐Eliezer, et al.. (2016). New Clinically Feasible 3T MRI Protocol to Discriminate Internal Brain Stem Anatomy. American Journal of Neuroradiology. 37(6). 1058–1065. 21 indexed citations
17.
Shanbhogue, Krishna, et al.. (2016). von Hippel-Lindau Disease. Radiologic Clinics of North America. 54(3). 409–422. 26 indexed citations
18.
Hoch, Michael, et al.. (2015). Orbital lesions with low signal intensity on T2-weighted imaging. Clinical Radiology. 71(1). e88–e95. 4 indexed citations
19.
Hoch, Michael, Sayed Ali, Shefali Agrawal, Congli Wang, & Jasvir S. Khurana. (2013). Extraskeletal Osteosarcoma: A case report and review of the literature. Journal of Radiology Case Reports. 7(7). 15–23. 27 indexed citations
20.
Ali, Sayed, Michael Hoch, Vipulkumar Dadhania, & Jasvir S. Khurana. (2011). CPPD Crowned Dens Syndrome with clivus destruction: A case report. Journal of Radiology Case Reports. 5(8). 30–7. 13 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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