Daniel J O’Connor

121 papers receiving 4.8k citations

Daniel J O’Connor's Hit Papers

Guidelines for Inclusion of Patient-Reported Outcomes in Clinical Trial Protocols 2018 · 614 citations
6140+2+5Years since publication200400600

Peers

Daniel J O’Connor
Comparison fields: 5 of 185
  • Oncology 1.5k
  • Radiation 242
  • Biotechnology 208
  • Ophthalmology 193
  • Cancer Research 291
Replace Sharon Love with:
Sharon Love United Kingdom
Stuart A. Grossman United States
Steven James Skates United States
Harold Kim Canada
Thomas E. Yankeelov United States
S. Larry Goldenberg Canada
Steven I. Sherman United States
Thérèse Truong Germany
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Countries citing papers authored by Daniel J O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J O’Connor. 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 J O’Connor. The network helps show where Daniel J O’Connor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for Inclusion of Patient-Reported Outcomes in Clinical Trial Protocols
Hit paper breakdown →
2018614
2 2001541
3 2003305
4 2020246
5 2004231
6 1999225
7 2016165
8 2018154
9 2019118
10 2017100
11 202196
12 200291
13 199584
14 199080
15 201970
16 201569
17 200067
18 200261
19 201558
20 200555

About Daniel J O’Connor

Daniel J O’Connor is a scholar working on Radiation, Oncology, Economics and Econometrics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 129 papers that have together received 5.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (20 papers), Advanced Radiotherapy Techniques (16 papers), Radiation Therapy and Dosimetry (12 papers), Cancer-related Molecular Pathways (11 papers), Sparse and Compressive Sensing Techniques (8 papers), Economic and Financial Impacts of Cancer (7 papers), Cancer survivorship and care (7 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Oncology (1.5k citations), Radiation (242 citations), Biotechnology (208 citations), Ophthalmology (193 citations) and Cancer Research (291 citations). Daniel J O’Connor has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Xin Lü, Shan Zhong, Jung-Kuang Hsieh, Daniele Bergamaschi, Giuseppe Trigiante, Tim Crook, Elizabeth A. Slee, Ke Sheng, Louie Naumovski and Dan Ruan. Their work appears in journals such as Medical Physics, The Lancet Oncology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nature Reviews Drug Discovery and IEEE Transactions on Magnetics.

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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