Daniel E. Epner

2.5k citations
47 papers · 1.9k indexed · h-index 22

Daniel E. Epner

45 papers receiving 1.9k citations

Peers

Daniel E. Epner
Comparison fields: 5 of 130
  • Critical Care and Intensive Care Medicine 133
  • Endocrine and Autonomic Systems 146
  • Cancer Research 266
  • Anesthesiology and Pain Medicine 90
  • Oncology 405
Replace Corrado Ficorella with:
Corrado Ficorella Italy
Xiaohong Jin China
Fumiaki Nakamura Japan
P. V. Zimmerman Australia
Colleen Jackson‐Cook United States
Anne Tang United States
Gerald H. Clamon United States
Jin Zhou China
Hideki Onishi Japan
Richard R. Reich United States
Daniel E. Epner relative to Corrado Ficorella Italy Corrado Ficorella's profile →
Citations per field
00.5×10×13.3×
Corrado Ficorella · 1×
Citations per year

Countries citing papers authored by Daniel E. Epner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Epner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel E. Epner, 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 E. Epner Line = papers co-authored together Daniel E. Epner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 202036
3 20163
4 201465
5 201319
6 201318
7 201295
8 201026
9 200679
10 200315
11 200286
12 200278
13 200219
14 200136
15 200054
16 2000139
17 199919
18 1999149
19 199811
20 199035

About Daniel E. Epner

Daniel E. Epner is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Biotechnology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (5 papers), Molecular Biology Techniques and Applications (5 papers), Patient-Provider Communication in Healthcare (5 papers), Advances in Oncology and Radiotherapy (4 papers), Empathy and Medical Education (4 papers) and Patient Dignity and Privacy (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (133 citations), Endocrine and Autonomic Systems (146 citations) and Cancer Research (266 citations). Daniel E. Epner has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Walter F. Baile, Shan Lu, Michelle Cororve Fingeret, Irene Teo, Shan Lu, Guido Jenster, José M. Garcia, Douglas L. Mann, Glenn R. Cunningham and Marco Marcelli. Their work appears in journals such as Journal of Clinical Oncology, The Prostate, Annals of Oncology, Cancer and Journal of Cellular Physiology.

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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