Daniel Delev

59 papers receiving 868 citations

Peers

Daniel Delev
Comparison fields: 5 of 83
  • Genetics 356
  • Psychiatry and Mental health 266
  • Cellular and Molecular Neuroscience 183
  • Neurology 134
  • Pediatrics, Perinatology and Child Health 168
Replace Zhiyi Sha with:
Zhiyi Sha United States
Chitra Sarkar India
Falk Oppel Germany
Robert M. Lober United States
Cheddhi Thomas United States
Melissa Kerkhof Netherlands
Julia Geisler Germany
Edouard Dezamis France
Anna Maria Buccoliero Italy
Ignacio Jusué-Torres United States
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Citations per year

Countries citing papers authored by Daniel Delev

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Delev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201553
3 201746
4 201945
5 201842
6 201238
7 201937
8 201832
9 201830
10 202029
11 201828
12 201428
13 201624
14 201722
15 202222
16 201922
17 201920
18 201720
19 201819
20 201617

About Daniel Delev

Daniel Delev is a scholar working on Genetics, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 879 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Epilepsy research and treatment (21 papers), Pharmacological Effects and Toxicity Studies (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Meningioma and schwannoma management (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Genetics (356 citations), Psychiatry and Mental health (266 citations), Cellular and Molecular Neuroscience (183 citations), Neurology (134 citations) and Pediatrics, Perinatology and Child Health (168 citations). Daniel Delev has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Oliver Schnell, Dieter Henrik Heiland, Pamela Franco, Marec von Lehe, Alexander Grote, Christian E. Elger, Irina Mader, Waseem Masalha, Johannes Schramm and Sabrina Heynckes. Their work appears in journals such as Scientific Reports, Journal of Neuro-Oncology, Acta Neurochirurgica, World Neurosurgery and Oncotarget.

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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