Daniel S. Hippe

8.1k citations
299 papers · 6.2k · h-index 41

Impact in

Papers in

Daniel S. Hippe

280 papers receiving 6.1k citations

Peers

Daniel S. Hippe
Comparison fields: 5 of 99
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Pulmonary and Respiratory Medicine 1.4k
  • Hepatology 242
  • Health Informatics 38
  • Oncology 365
Replace Matthew S. Davenport with:
Matthew S. Davenport United States
Jeffrey C. Weinreb United States
Neil M. Rofsky United States
Salvatore Cappabianca Italy
Sheila A. Weinmann United States
Kyongtae T. Bae United States
Sanjay Saini United States
Christian Herold Austria
Florian Zeman Germany
Daniel I. Rosenthal United States
Daniel S. Hippe relative to Matthew S. Davenport United States Matthew S. Davenport's profile →
Citations per field
00.5×2×3×3.7×
Matthew S. Davenport · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel S. Hippe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel S. Hippe Line = papers co-authored together Daniel S. Hippe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 299 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016355
2 2015170
3 2012126
4 2012121
5 2016111
6 201797
7 201794
8 201794
9 201893
10 201687
11 201783
12 201783
13 202280
14 201378
15 201667
16 202066
17 201464
18 202164
19 201363
20 201961

About Daniel S. Hippe

Daniel S. Hippe is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Hepatology and Developmental and Educational Psychology, having authored 299 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (49 papers), Polyomavirus and related diseases (27 papers), MRI in cancer diagnosis (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced MRI Techniques and Applications (9 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Simulation-Based Education in Healthcare (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Pulmonary and Respiratory Medicine (1.4k citations), Hepatology (242 citations), Health Informatics (38 citations) and Oncology (365 citations). Daniel S. Hippe has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chun Yuan, Thomas S. Hatsukami, Jie Sun, Niranjan Balu, Mahmud Mossa‐Basha, Savannah C. Partridge, Kiyoko Murata, Luis F. Gonzalez‐Cuyar, Corinne L. Fligner and Kenneth R. Maravilla. Their work appears in journals such as Journal of the American College of Radiology, American Journal of Roentgenology, Journal of Vascular and Interventional Radiology, Radiology and Academic Radiology.

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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