Daniel Reed

891 citations
45 papers · 564 · h-index 12

Impact in

Papers in

Daniel Reed

44 papers receiving 547 citations

Peers

Daniel Reed
Comparison fields: 5 of 68
  • Radiation 119
  • Internal Medicine 32
  • Pulmonary and Respiratory Medicine 198
  • Cancer Research 73
  • Cardiology and Cardiovascular Medicine 83
Replace Shintaro Shirai with:
Shintaro Shirai Japan
Tai‐Lin Huang Taiwan
Kenneth M. Algazy United States
V. Bishay United States
Boris Pokrajac Austria
David M. Sella United States
Pierre‐François Dupré France
Ericka Wiebe Canada
W. Appel United Kingdom
Stefano Bracci Italy
Daniel Reed relative to Shintaro Shirai Japan Shintaro Shirai's profile →
Citations per field
00.5×
Shintaro Shirai · 1×
Citations per year

Countries citing papers authored by Daniel Reed

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 200565
3 200763
4 201446
5 200332
6 201332
7 202326
8 200525
9 201322
10 200518
11 201916
12 201313
13 201910
14 20039
15 20209
16 20199
17 20058
18 20215
19 20235
20 20175

About Daniel Reed

Daniel Reed is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Public Health, Environmental and Occupational Health and Radiation, having authored 45 papers that have together received 564 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Neutropenia and Cancer Infections (6 papers), Advanced Radiotherapy Techniques (5 papers), Acute Myeloid Leukemia Research (4 papers), Breast Cancer Treatment Studies (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Radiation (119 citations), Internal Medicine (32 citations), Pulmonary and Respiratory Medicine (198 citations), Cancer Research (73 citations) and Cardiology and Cardiovascular Medicine (83 citations). Daniel Reed has collaborated with scholars based in United States, Canada and Jordan. Frequent co-authors include Kent E. Wallner, Gregory S. Merrick, Hillary S. Maitland, Surabhi Palkimas, Tri Minh Le, Christopher Biggs, Suresh Rana, Terry Lee, Michael Keng and Eric Ford. Their work appears in journals such as Blood, International Journal of Radiation Oncology*Biology*Physics, Current Hematologic Malignancy Reports, Journal of Clinical Oncology and Brachytherapy.

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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