Michael E. Hahn

3.0k total citations · 2 hit papers
51 papers, 1.9k citations indexed

About

Michael E. Hahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael E. Hahn has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael E. Hahn's work include MRI in cancer diagnosis (13 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). Michael E. Hahn is often cited by papers focused on MRI in cancer diagnosis (13 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). Michael E. Hahn collaborates with scholars based in United States, Germany and Norway. Michael E. Hahn's co-authors include Nathan C. Gianneschi, Tom W. Muir, Angela P. Blum, Jacquelin K. Kammeyer, Anthony M. Rush, Cassandra E. Callmann, G. Delling, Jean‐Philippe Pellois, Scott M. Lippman and Amy Krie and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Medicine.

In The Last Decade

Michael E. Hahn

44 papers receiving 1.8k 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.

Stimuli-Responsive Nanomaterials for Biomedical Applications

2014 432 citations Angela P. Blum, Jacquelin K. Kammeyer et al. profile →
Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study

2019 429 citations Jason K. Sicklick, Michael E. Hahn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael E. Hahn United States	20	585	357	337	333	331	51	1.9k
Nikki Parker United States	13	702 1.2×	217 0.6×	401 1.2×	447 1.3×	461 1.4×	16	1.7k
Madduri Srinivasarao United States	15	779 1.3×	214 0.6×	532 1.6×	339 1.0×	521 1.6×	40	1.7k
Chase W. Kessinger United States	23	655 1.1×	143 0.4×	533 1.6×	552 1.7×	128 0.4×	39	1.8k
Elaine Westrick United States	19	937 1.6×	370 1.0×	456 1.4×	542 1.6×	620 1.9×	28	2.2k
Sumith A. Kularatne United States	27	891 1.5×	300 0.8×	694 2.1×	432 1.3×	605 1.8×	39	2.4k
Emilia S. Olson United States	14	1.3k 2.2×	139 0.4×	853 2.5×	485 1.5×	308 0.9×	20	2.4k
Peter W. Stratford United Kingdom	19	326 0.6×	235 0.7×	353 1.0×	392 1.2×	218 0.7×	24	1.9k
Zhanhong Wu United States	29	855 1.5×	523 1.5×	664 2.0×	253 0.8×	687 2.1×	79	3.1k
Valerie A. Longo United States	22	656 1.1×	98 0.3×	670 2.0×	533 1.6×	320 1.0×	33	2.0k
Xinhui Su China	23	408 0.7×	88 0.2×	414 1.2×	176 0.5×	205 0.6×	76	1.3k

Countries citing papers authored by Michael E. Hahn

Since Specialization

Citations

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

Fields of papers citing papers by Michael E. Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Hahn. A scholar is included among the top collaborators of Michael E. Hahn 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 E. Hahn. Michael E. Hahn 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

Sicklick, Jason K., Daisuke Nishizaki, Hirotaka Miyashita, et al.. (2026). Investigation of Profile-Related Evidence Determining Individualized Cancer Therapy (I-PREDICT) N-of-1 Precision Oncology Study: Molecular Profiling to Match Individually Dosed, Personalized Drug Combinations. Journal of Clinical Oncology. 44(7). 540–552.

Hahn, Michael E., et al.. (2024). Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times. Journal of Applied Clinical Medical Physics. 25(11). e14514–e14514. 2 indexed citations

Karunamuni, Roshan, Joshua Kuperman, Ahmed Shabaik, et al.. (2024). Utility of quantitative measurement of T2 using restriction spectrum imaging for detection of clinically significant prostate cancer. Scientific Reports. 14(1). 31318–31318.

Lui, Asona, R Manger, Roshan Karunamuni, et al.. (2024). Clinical Impact of Contouring Variability for Prostate Cancer Tumor Boost. International Journal of Radiation Oncology*Biology*Physics. 120(4). 1024–1031. 4 indexed citations

Feng, Christine H., Ana E. Rodríguez‐Soto, Joshua Kuperman, et al.. (2023). A Multicompartmental Diffusion Model for Improved Assessment of Whole-Body Diffusion-weighted Imaging Data and Evaluation of Prostate Cancer Bone Metastases. Radiology Imaging Cancer. 5(1). e210115–e210115. 2 indexed citations

Ghahremani, Gary G., Michael E. Hahn, & Elliot K. Fishman. (2023). Computed tomography of hyper-attenuated liver: Pictorial essay. Clinical Imaging. 97. 1–6. 2 indexed citations

Rodríguez‐Soto, Ana E., Hauke Bartsch, Joshua Kuperman, et al.. (2021). Characterization of the diffusion signal of breast tissues using multi‐exponential models. Magnetic Resonance in Medicine. 87(4). 1938–1951. 11 indexed citations

Rodríguez‐Soto, Ana E., Dominic Holland, Jingjing Zou, et al.. (2021). Correction of Artifacts Induced by B ₀ Inhomogeneities in Breast MRI Using Reduced‐ Field‐of‐View Echo‐Planar Imaging and Enhanced Reversed Polarity Gradient Method. Journal of Magnetic Resonance Imaging. 53(5). 1581–1591. 13 indexed citations

Feng, Christine H., Ana E. Rodríguez‐Soto, Roshan Karunamuni, et al.. (2021). Voxel‐level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four‐Compartment Restriction Spectrum Imaging. Journal of Magnetic Resonance Imaging. 54(3). 975–984. 14 indexed citations

10.

Rodríguez‐Soto, Ana E., Tyler M. Seibert, Anne M. Wallace, et al.. (2020). Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model. Clinical Cancer Research. 27(4). 1094–1104. 15 indexed citations

11.

Feng, Christine H., Ana E. Rodríguez‐Soto, Roshan Karunamuni, et al.. (2020). Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models. Journal of Magnetic Resonance Imaging. 53(2). 628–639. 19 indexed citations

12.

Duncan, David, et al.. (2020). Subcapsular hematoma resulting in hepatic ischemia as a complication of necrotizing pancreatitis. SHILAP Revista de lepidopterología. 15(4). 316–320.

13.

LeGuyader, Clare L. M., Michael E. Hahn, Christopher M. Andolina, et al.. (2016). Polymeric Gd-DOTA amphiphiles form spherical and fibril-shaped nanoparticle MRI contrast agents. Chemical Science. 7(7). 4230–4236. 24 indexed citations

14.

Kammeyer, Jacquelin K., Angela P. Blum, Lisa Adamiak, Michael E. Hahn, & Nathan C. Gianneschi. (2013). Polymerization of protecting-group-free peptides via ROMP. Polymer Chemistry. 4(14). 3929–3929. 71 indexed citations

15.

Thompson, Matthew P., et al.. (2013). Labelling polymers and micellar nanoparticles via initiation, propagation and termination with ROMP. Polymer Chemistry. 5(6). 1954–1964. 41 indexed citations

16.

Hahn, Michael E. & Nathan C. Gianneschi. (2011). Enzyme-directed assembly and manipulation of organic nanomaterials. Chemical Communications. 47(43). 11814–11814. 64 indexed citations

17.

Siegmann, K, et al.. (2009). Diagnostische Wertigkeit des Göttinger Scores zur Malignitätsvorhersage von ausschließlich in der MRT darstellbaren Mammaläsionen. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 181(6). 556–563. 8 indexed citations

18.

Vogel, Martin, Michael E. Hahn, & G. Delling. (1995). Trabecular bone structure in patients with primary hyperparathyroidism. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 426(2). 127–34. 30 indexed citations

19.

Amling, Michael, et al.. (1994). Three-dimensional analysis of the spine in autopsy cases with renal osteodystrophy. Kidney International. 46(3). 733–743. 46 indexed citations

20.

Grote, H., et al.. (1994). Polyostotic heterogeneity of the spine in osteoporosis. Quantitative analysis and three-dimensional morphology. Bone and Mineral. 27(3). 193–208. 42 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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