Daniel Cherry

567 citations
30 papers · 296 · h-index 10

Impact in

Papers in

Daniel Cherry

25 papers receiving 294 citations

Peers

Daniel Cherry
Comparison fields: 5 of 52
  • Health Informatics 5
  • Pulmonary and Respiratory Medicine 95
  • Oncology 69
  • Health Information Management 5
  • General Health Professions 25
Replace Juan Javier‐Desloges with:
Juan Javier‐Desloges United States
T. Lizée France
Marco M. E. Vogel Germany
Robert Dotzauer Germany
Joan Prades Spain
Subrina Farah United States
Naveen F. Sangji United States
Justin Jee United States
Alexander S. Qian United States
Marco Chiumente Italy
Daniel Cherry relative to Juan Javier‐Desloges United States Juan Javier‐Desloges's profile →
Citations per field
00.5×1.5×2.5×
Juan Javier‐Desloges · 1×
Citations per year

Countries citing papers authored by Daniel Cherry

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cherry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 202144
3 202140
4 202129
5 199921
6 202119
7 202316
8 202215
9 202311
10 20189
11 20216
12 20215
13 20245
14 20213
15 20252
16 20202
17 20202
18 20231
19 20231
20 20201

About Daniel Cherry

Daniel Cherry is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Economics and Econometrics and Otorhinolaryngology, having authored 30 papers that have together received 296 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Brain Metastases and Treatment (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Economic and Financial Impacts of Cancer (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Head and Neck Cancer Studies (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (5 citations), Pulmonary and Respiratory Medicine (95 citations), Oncology (69 citations), Health Information Management (5 citations) and General Health Professions (25 citations). Daniel Cherry has collaborated with scholars based in United States, Peru and Belgium. Frequent co-authors include James D. Murphy, P.T. Courtney, Abhishek Kumar, Vinit Nalawade, Anthony Yip, Brent S. Rose, Daniel R. Simpson, Marı́a Elena Martı́nez, Tyler J. Nelson and J. Kellogg Parsons. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Advances in Radiation Oncology, JCO Clinical Cancer Informatics and PLoS ONE.

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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