Michael Dally

1.2k citations
35 papers · 905 indexed · h-index 15

Michael Dally

35 papers receiving 888 citations

Peers

Michael Dally
Comparison fields: 5 of 90
  • Genetics 382
  • Otorhinolaryngology 78
  • Radiation 148
  • Pulmonary and Respiratory Medicine 438
  • Neurology 151
Replace Daniëlle B. P. Eekers with:
Daniëlle B. P. Eekers Netherlands
Denise Bernhardt Germany
Christoph Straube Germany
Silvia Scoccianti Italy
Paul Sanghera United Kingdom
Tomáš Kazda Czechia
Silvia Chiesa Italy
Rakesh Jalali India
Elizabeth Yan United States
Sebastian Lettmaier Germany
Michael Dally relative to Daniëlle B. P. Eekers Netherlands Daniëlle B. P. Eekers's profile →
Citations per field
00.5×3.1×
Daniëlle B. P. Eekers · 1×
Citations per year

Countries citing papers authored by Michael Dally

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201920
2 201516
3 201514
4 20155
5 201520
6 20142
7 201313
8 20134
9 20135
10 201114
11 201027
12 20096
13 200818
14 200814
15 200810
16 20072
17 200445
18
Improving risk grouping rules for prostate cancer patients using self-organising maps
20036
19 200217
20 199358

About Michael Dally

Michael Dally is a scholar working on Genetics, Neurology, Radiation, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 905 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (13 papers), Glioma Diagnosis and Treatment (9 papers), Brain Metastases and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (4 papers), Hearing Loss and Rehabilitation (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Genetics (382 citations), Otorhinolaryngology (78 citations), Radiation (148 citations), Pulmonary and Respiratory Medicine (438 citations) and Neurology (151 citations). Michael Dally has collaborated with scholars based in Australia, Chile and United States. Frequent co-authors include Jeremy Ruben, Catriona McLean, Roy E. Smith, Michael Bailey, Michael Murphy, Katharine J. Drummond, Lawrence Cher, Mark Rosenthal, Sue Burney and Vicky Thursfield. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, The Journal of Laryngology & Otology, Journal of Clinical Neuroscience and Acta Neurochirurgica.

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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