Mohammed Uddin

13.2k citations
76 papers · 1.7k · h-index 24

Impact in

  • Genetics top 5%
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases

Papers in

    • Congenital heart defects research 5
    • Genetics and Neurodevelopmental Disorders 12
    • Genomics and Rare Diseases 11
    • Genomic variations and chromosomal abnormalities 9

Mohammed Uddin

65 papers receiving 1.6k citations

Peers

Mohammed Uddin
Comparison fields: 5 of 142
  • Health Informatics 35
  • Genetics 394
  • Infectious Diseases 203
  • Cognitive Neuroscience 181
  • Molecular Biology 586
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Nasa Sinnott-Armstrong United States
Anna Shcherbina United States
David Laplaud France
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Ahmad Abou Tayoun United Arab Emirates
Ji Hyun Park South Korea
Rachel Butler United Kingdom
Kyoko Ohno‐Matsui Japan
Mingzhi Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Mohammed Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020206
2 2019168
3 2015112
4 2014106
5 201368
6 202056
7 200956
8 201654
9 201653
10 201446
11 201444
12 199743
13 201736
14 201935
15 201734
16 202331
17 201730
18 202130
19 201930
20 201528

About Mohammed Uddin

Mohammed Uddin is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Infectious Diseases and Rheumatology, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (12 papers), Autism Spectrum Disorder Research (11 papers), Genomics and Rare Diseases (11 papers), Genomic variations and chromosomal abnormalities (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Congenital heart defects research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Spondyloarthritis Studies and Treatments (5 papers). The work is most often cited by research in Health Informatics (35 citations), Genetics (394 citations), Infectious Diseases (203 citations), Cognitive Neuroscience (181 citations) and Molecular Biology (586 citations). Mohammed Uddin has collaborated with scholars based in Canada, United Arab Emirates and United States. Frequent co-authors include Marc Woodbury‐Smith, Yujiang Wang, Stephen W. Scherer, Alawi Alsheikh‐Ali, Tom Loney, Norbert Nowotny, Hanan Al Suwaidi, Abiola Senok, Proton Rahman and Herman Yeger. Their work appears in journals such as Scientific Reports, Molecular Autism, Human Genetics, Nature Genetics and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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