Daniel Coman

2.7k citations
68 papers · 1.9k indexed · h-index 25

Daniel Coman

66 papers receiving 1.9k citations

Peers

Daniel Coman
Comparison fields: 5 of 109
  • Developmental Neuroscience 113
  • Radiology, Nuclear Medicine and Imaging 494
  • Biophysics 121
  • Biological Psychiatry 39
  • Behavioral Neuroscience 54
Replace Annette van der Toorn with:
Annette van der Toorn Netherlands
Su Xu United States
Nicholas A. Bock Canada
Fawzi Boumezbeur France
Jean‐Michel Franconi France
Sébastien Serres United Kingdom
Youssef Zaim Wadghiri United States
Daniele Procissi United States
Zhiwei Shen China
Frederick T. Chin United States
Daniel Coman relative to Annette van der Toorn Netherlands Annette van der Toorn's profile →
Citations per field
00.5×2.5×
Annette van der Toorn · 1×
Citations per year

Countries citing papers authored by Daniel Coman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Coman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20259
2 20245
3 20240
4 20222
5 20225
6 202163
7 20214
8 202022
9 20209
10 20199
11 201816
12 201615
13 201521
14 201457
15 201420
16 20136
17 201337
18 201111
19 200966
20 200563

About Daniel Coman

Daniel Coman is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (22 papers), Lanthanide and Transition Metal Complexes (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Electron Spin Resonance Studies (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), MRI in cancer diagnosis (6 papers) and Advanced NMR Techniques and Applications (6 papers). The work is most often cited by research in Developmental Neuroscience (113 citations), Radiology, Nuclear Medicine and Imaging (494 citations) and Biophysics (121 citations). Daniel Coman has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Fahmeed Hyder, Yuegao Huang, Irina M. Russu, Douglas L. Rothman, H Trübel, Péter Hermán, Basavaraju G. Sanganahalli, Jyotsna U. Rao, John J. Walsh and Meser M. Ali. Their work appears in journals such as NMR in Biomedicine, Contrast Media & Molecular Imaging, Scientific Reports, NeuroImage and Journal of Cerebral Blood Flow & Metabolism.

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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