Daniel S. Hippe

7.5k total citations
291 papers, 5.2k citations indexed

About

Daniel S. Hippe is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Daniel S. Hippe has authored 291 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Pulmonary and Respiratory Medicine, 110 papers in Radiology, Nuclear Medicine and Imaging and 59 papers in Epidemiology. Recurrent topics in Daniel S. Hippe's work include Cerebrovascular and Carotid Artery Diseases (69 papers), Acute Ischemic Stroke Management (36 papers) and Cardiovascular Health and Disease Prevention (35 papers). Daniel S. Hippe is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (69 papers), Acute Ischemic Stroke Management (36 papers) and Cardiovascular Health and Disease Prevention (35 papers). Daniel S. Hippe collaborates with scholars based in United States, China and Germany. Daniel S. Hippe's co-authors include Chun Yuan, Thomas S. Hatsukami, Jie Sun, Mahmud Mossa‐Basha, Niranjan Balu, Nozomu Murata, Kiyoko Murata, Luis F. Gonzalez‐Cuyar, Savannah C. Partridge and Russell L. Dills and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel S. Hippe

262 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Hippe United States	37	2.1k	1.9k	962	896	764	291	5.2k
Matthew S. Davenport United States	43	2.1k 1.0×	3.1k 1.6×	777 0.8×	288 0.3×	986 1.3×	250	6.5k
Ruth C. Carlos United States	45	1.4k 0.7×	2.3k 1.2×	702 0.7×	415 0.5×	919 1.2×	239	6.5k
Yoshito Tsushima Japan	38	828 0.4×	1.9k 1.0×	797 0.8×	237 0.3×	1.2k 1.6×	338	5.4k
Jonathan R. Dillman United States	43	1.4k 0.7×	2.1k 1.1×	2.3k 2.4×	442 0.5×	2.6k 3.3×	326	7.2k
S. Ted Treves United States	47	2.6k 1.2×	2.9k 1.5×	907 0.9×	842 0.9×	2.4k 3.2×	364	8.1k
John O. Prior Switzerland	40	1.5k 0.7×	2.7k 1.4×	438 0.5×	757 0.8×	808 1.1×	303	5.6k
Lorenzo Bonomo Italy	45	1.7k 0.8×	2.5k 1.3×	870 0.9×	609 0.7×	1.9k 2.5×	235	6.9k
Zhi‐gang Yang China	29	1.6k 0.8×	1.6k 0.8×	504 0.5×	1.2k 1.4×	909 1.2×	285	4.6k
Robert M. Kwee Netherlands	34	1.8k 0.9×	1.3k 0.7×	677 0.7×	541 0.6×	930 1.2×	112	4.0k
Vivian S. Lee United States	54	2.2k 1.1×	5.7k 2.9×	1.4k 1.4×	526 0.6×	1.5k 2.0×	185	9.1k

Countries citing papers authored by Daniel S. Hippe

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Hippe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Hippe. 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 Daniel S. Hippe. The network helps show where Daniel S. Hippe may publish in the future.

Co-authorship network of co-authors of Daniel S. Hippe

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Hippe. A scholar is included among the top collaborators of Daniel S. Hippe 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 Daniel S. Hippe. Daniel S. Hippe 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

Hippe, Daniel S., Kristina Lachance, Tomoko Akaike, et al.. (2025). Immunotherapy response in immunosuppressed patients with Merkel cell carcinoma: analysis of 183 patients. PubMed. 4(1). e000654–e000654. 2 indexed citations

Hippe, Daniel S., Tomoko Akaike, Natalie J. Miller, et al.. (2025). Real-world outcomes of patients receiving salvage therapies for immune checkpoint inhibitor-resistant Merkel cell carcinoma: a rationale for future clinical trials. Journal for ImmunoTherapy of Cancer. 13(9). e012660–e012660.

Akaike, Tomoko, Daniel S. Hippe, Matthew W. Gilmour, et al.. (2025). Merkel cell carcinoma in solid organ transplant recipients: prognosis and response to immunotherapy. British Journal of Dermatology. 193(6). 1221–1231.

Paulson, Kelly G., Song Y. Park, Shailender Bhatia, Daniel S. Hippe, & Paul Nghiem. (2025). Improved survival at the population level for patients with advanced Merkel cell carcinoma following availability of immunotherapy. Journal of the American Academy of Dermatology. 93(1). 89–94.

Tachiki, Lisa, Daniel S. Hippe, Thomas H. Pulliam, et al.. (2025). Risk of disease progression after discontinuing immunotherapy in 105 patients with Merkel cell carcinoma who responded to PD-1 pathway blockade. Journal for ImmunoTherapy of Cancer. 13(8). e012123–e012123.

Hippe, Daniel S., et al.. (2024). Diffusion weighted imaging for improving the diagnostic performance of screening breast MRI: impact of apparent diffusion coefficient quantitation methods and cutoffs. Frontiers in Oncology. 14. 1437506–1437506.

Fan, Xinyi, et al.. (2024). Lack of Clinically Significant Relationships of Age or Body Mass Index with Merkel Cell Carcinoma Immunotherapy Outcomes. Cancers. 16(13). 2480–2480. 1 indexed citations

Duan, Chunyan, Jiajie Wang, Qianqian Tong, et al.. (2024). GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer. Physics in Medicine and Biology. 69(15). 155018–155018.

Muzi, Mark, Lanell M. Peterson, Jennifer M. Specht, et al.. (2024). Repeatability of 18F-FDG uptake in metastatic bone lesions of breast cancer patients and implications for accrual to clinical trials. EJNMMI Research. 14(1). 32–32.

10.

Zhu, Chengcheng, et al.. (2022). Use of CTA Test Dose to Trigger a Low Cardiac Output Protocol Improves Acute Stroke CTP Data Analyzed with RAPID Software. American Journal of Neuroradiology. 43(3). 388–393. 5 indexed citations

11.

Forouzannezhad, Parisa, Daniel S. Hippe, Jie Han, et al.. (2022). Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer. Cancers. 14(5). 1228–1228. 27 indexed citations

12.

Ezenwa, Beatrice Nkolika, Rachel Umoren, Iretiola Fajolu, et al.. (2022). Using Mobile Virtual Reality Simulation to Prepare for In-Person Helping Babies Breathe Training: Secondary Analysis of a Randomized Controlled Trial (the eHBB/mHBS Trial). JMIR Medical Education. 8(3). e37297–e37297. 14 indexed citations

13.

Sharpe, Richard E., Eniola Oluyemi, Daniel S. Hippe, et al.. (2022). Women’s Experience With Screening Mammography During the COVID-19 Pandemic: A Multi-Institutional Prospective Survey Study. Journal of Breast Imaging. 4(3). 253–262.

14.

Peeken, Jan C., Jan Neumann, Yannik Leonhardt, et al.. (2021). Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics. Cancers. 13(8). 1929–1929. 30 indexed citations

15.

Bowen, Stephen R., Daniel S. Hippe, W. Art Chaovalitwongse, et al.. (2019). Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging. Clinical Cancer Research. 25(16). 5027–5037. 9 indexed citations

16.

Hippe, Daniel S., Binh An P. Phan, Jie Sun, et al.. (2018). Lp(a) (Lipoprotein(a)) Levels Predict Progression of Carotid Atherosclerosis in Subjects With Atherosclerotic Cardiovascular Disease on Intensive Lipid Therapy. Arteriosclerosis Thrombosis and Vascular Biology. 38(3). 673–678. 33 indexed citations

17.

Vandeven, Natalie, Christopher W. Lewis, Vladimir Makarov, et al.. (2017). Merkel Cell Carcinoma Patients Presenting Without a Primary Lesion Have Elevated Markers of Immunity, Higher Tumor Mutation Burden, and Improved Survival. Clinical Cancer Research. 24(4). 963–971. 43 indexed citations

18.

Gaddikeri, Santhosh, Mahmud Mossa‐Basha, Jalal B. Andre, Daniel S. Hippe, & Yoshimi Anzai. (2017). Optimal Fat Suppression in Head and Neck MRI: Comparison of Multipoint Dixon with 2 Different Fat-Suppression Techniques, Spectral Presaturation and Inversion Recovery, and STIR. American Journal of Neuroradiology. 39(2). 362–368. 30 indexed citations

19.

Bowen, Stephen R., William T. C. Yuh, Daniel S. Hippe, et al.. (2017). Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy. Journal of Magnetic Resonance Imaging. 47(5). 1388–1396. 87 indexed citations

20.

Hippe, Daniel S., et al.. (2016). Patient Access to Online Radiology Reports. Academic Radiology. 23(9). 1162–1169. 64 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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