Daniel Merlo

24 papers receiving 426 citations

Peers

Daniel Merlo
Comparison fields: 5 of 56
  • Developmental Neuroscience 151
  • Neurology 80
  • Pathology and Forensic Medicine 117
  • Cellular and Molecular Neuroscience 90
  • Genetics 26
Replace Margherita Zamboni with:
Margherita Zamboni Sweden
Jian-Sheng Zhou China
Katrin Pech Germany
Sohrab B. Manesh Canada
Lindsay M. Milich United States
James S. Choi United States
Xiufeng Tang China
Josephine M. J. Stoffels Netherlands
Sarrabeth Stone United States
Massimiliano Cristofanilli United States
Daniel Merlo relative to Margherita Zamboni Sweden Margherita Zamboni's profile →
Citations per field
00.5×5×10×16.5×
Margherita Zamboni · 1×
Citations per year

Countries citing papers authored by Daniel Merlo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Merlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201179
2 201068
3 201651
4 201450
5 201148
6 202319
7 201919
8 201917
9 201816
10 202312
11 202110
12 20218
13 20237
14 20205
15 20105
16 20253
17 20253
18 20252
19
INVESTIGATING HLA-B/C AND-DRB1/DQB1 LINKAGE DISEQUILIBRIUM TO THE THIRD AND FOURTH FIELD OF RESOLUTION USING PACIFIC BIOSCIENCES SINGLE MOLECULE REAL TIME (SMRT) SEQUENCING
20172
20 20242

About Daniel Merlo

Daniel Merlo is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience, Immunology, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 430 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (15 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Spinal Dysraphism and Malformations (3 papers), TGF-β signaling in diseases (2 papers), Statistical Methods and Inference (1 paper), Immunotherapy and Immune Responses (1 paper), RNA regulation and disease (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Developmental Neuroscience (151 citations), Neurology (80 citations), Pathology and Forensic Medicine (117 citations), Cellular and Molecular Neuroscience (90 citations) and Genetics (26 citations). Daniel Merlo has collaborated with scholars based in Australia, Switzerland and Denmark. Frequent co-authors include Holly S. Cate, Trevor John Kilpatrick, Tim D. Aumann, Jennifer K. Sabo, Helmut Butzkueven, Victoria M. Perreau, Anneke van der Walt, Chew Ling Lau, David Darby and Philip M. Beart. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Journal of Neurochemistry, European Journal of Neurology, Multiple Sclerosis Journal and Annals of Clinical and Translational Neurology.

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.

Explore authors with similar magnitude of impact