Michael Absoud

3.7k citations
64 papers · 1.6k · h-index 21

Impact in

  • Neurology top 2%
    • Peripheral Neuropathies and Disorders
    • Autoimmune Neurological Disorders and Treatments
    • Multiple Sclerosis Research Studies
    • Vitamin D Research Studies

Papers in

Michael Absoud

57 papers receiving 1.6k citations

Peers

Michael Absoud
Comparison fields: 5 of 104
  • Neurology 616
  • Pathology and Forensic Medicine 589
  • Clinical Psychology 295
  • Microbiology 79
  • Infectious Diseases 235
Replace Shekeeb S. Mohammad with:
Shekeeb S. Mohammad Australia
Eli Silber United Kingdom
Lee Coleman Australia
P. N. Jayakumar India
Ferenc Nagy Hungary
Eliza Gordon‐Lipkin United States
Valentina Bianchi Italy
Enrico Parano Italy
Matti Iivanainen Finland
John R. Østergaard Denmark
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Citations per field
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Shekeeb S. Mohammad · 1×
Citations per year

Countries citing papers authored by Michael Absoud

Since Specialization
Citations

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

Fields of papers citing papers by Michael Absoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Absoud, 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 Absoud Line = papers co-authored together Michael Absoud 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 2011162
2 2015149
3 2020122
4 2013118
5 2012102
6 201474
7 201667
8 201360
9 201457
10 202251
11 202051
12 201050
13 202150
14 200933
15 201032
16 201830
17 201324
18 201623
19 201022
20 200622

About Michael Absoud

Michael Absoud is a scholar working on Neurology, Pathology and Forensic Medicine, Cognitive Neuroscience, Clinical Psychology and Pediatrics, Perinatology and Child Health, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (18 papers), Autism Spectrum Disorder Research (15 papers), Peripheral Neuropathies and Disorders (13 papers), Family and Disability Support Research (9 papers), Autoimmune Neurological Disorders and Treatments (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), Systemic Lupus Erythematosus Research (7 papers) and Infant Development and Preterm Care (6 papers). The work is most often cited by research in Neurology (616 citations), Pathology and Forensic Medicine (589 citations), Clinical Psychology (295 citations), Microbiology (79 citations) and Infectious Diseases (235 citations). Michael Absoud has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ming Lim, Evangeline Wassmer, Carole Cummins, Cheryl Hemingway, Francesca Happé, Nick Shaw, Yael Hacohen, Kumaran Deiva, Angela Vincent and Patrick Waters. Their work appears in journals such as Developmental Medicine & Child Neurology, BMJ, BMJ Open, Journal of Autism and Developmental Disorders and Multiple Sclerosis Journal.

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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