Conor D. Collins

1.6k citations
54 papers · 1.2k · h-index 22

Impact in

Papers in

Conor D. Collins

54 papers receiving 1.2k citations

Peers

Conor D. Collins
Comparison fields: 5 of 90
  • Internal Medicine 59
  • Radiology, Nuclear Medicine and Imaging 256
  • Oncology 292
  • Hematology 91
  • Pulmonary and Respiratory Medicine 251
Replace Miyako Morooka with:
Miyako Morooka Japan
Norbert M. Blumstein Germany
Hiroshi Sugimura Japan
Myriam Wartski France
Maria Cristina Marzola Italy
Jean B. Owen United States
Stephen J. Skehan Ireland
Margreet H.A. Baaijens Netherlands
Enrique Lopez Hänninen Germany
Karin S. Kapp Austria
Conor D. Collins relative to Miyako Morooka Japan Miyako Morooka's profile →
Citations per field
00.5×1.5×1.9×
Miyako Morooka · 1×
Citations per year

Countries citing papers authored by Conor D. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Conor D. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor D. Collins. 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 Conor D. Collins. The network helps show where Conor D. Collins may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Samarium-153-EDTMP biodistribution and dosimetry estimation.
1993169
2 2004113
3 200982
4 200053
5 200650
6 200449
7 201934
8 199534
9 200732
10 200430
11 198529
12 199528
13 201026
14 201626
15 200525
16 201825
17 201325
18 199824
19 202023
20 201222

About Conor D. Collins

Conor D. Collins is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Management of metastatic bone disease (5 papers), Neuroblastoma Research and Treatments (4 papers), Breast Cancer Treatment Studies (4 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer Diagnosis and Treatment (3 papers) and Brain Metastases and Treatment (3 papers). The work is most often cited by research in Internal Medicine (59 citations), Radiology, Nuclear Medicine and Imaging (256 citations), Oncology (292 citations), Hematology (91 citations) and Pulmonary and Respiratory Medicine (251 citations). Conor D. Collins has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Stephen J. Skehan, Michael Stabin, Janet F. Eary, Cheryl Vernon, F R Appelbaum, Stephen H. Petersdorf, Matthew Baker, Carole A. Ridge, P. Thirion and Donal J. Brennan. Their work appears in journals such as Cancer Imaging, Journal of Clinical Oncology, Clinical Radiology, British Journal of Radiology and British Journal of Cancer.

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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