Abeer Obaid

6.0k citations
17 papers · 4.1k · 3 hit papers · h-index 12

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
  • Neurology top 1%
    • Long-Term Effects of COVID-19

Papers in

    • COVID-19 Clinical Research Studies 6
    • SARS-CoV-2 and COVID-19 Research 3
    • Myasthenia Gravis and Thymoma 4
    • Long-Term Effects of COVID-19 3
    • Peripheral Neuropathies and Disorders 2

Abeer Obaid

17 papers receiving 4.0k citations

Abeer Obaid's Hit Papers

Diverse functional autoantibodies in patients with COVID-19 2021 · 728 citations
7280+2+4Years since publication50010001.5k

Peers

Abeer Obaid
Comparison fields: 5 of 135
  • Infectious Diseases 2.4k
  • Neurology 1.2k
  • Immunology 655
  • Biological Psychiatry 72
  • Modeling and Simulation 132
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Citations per field
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Citations per year

Countries citing papers authored by Abeer Obaid

Since Specialization
Citations

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

Fields of papers citing papers by Abeer Obaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Longitudinal analyses reveal immunological misfiring in severe COVID-19
Hit paper breakdown →
20201572
2
Sex differences in immune responses that underlie COVID-19 disease outcomes
Hit paper breakdown →
20201010
3
Diverse functional autoantibodies in patients with COVID-19
Hit paper breakdown →
2021728
4 2020209
5 2021172
6 2022146
7 201855
8 202248
9 202245
10 202341
11 202323
12 202219
13 20259
14 20168
15 20236
16 20234
17 20161

About Abeer Obaid

Abeer Obaid is a scholar working on Infectious Diseases, Neurology, Immunology, Biophysics and Oncology, having authored 17 papers that have together received 4.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Myasthenia Gravis and Thymoma (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (3 papers), Peripheral Neuropathies and Disorders (2 papers), Multiple Sclerosis Research Studies (1 paper), Digital Imaging for Blood Diseases (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Infectious Diseases (2.4k citations), Neurology (1.2k citations), Immunology (655 citations), Biological Psychiatry (72 citations) and Modeling and Simulation (132 citations). Abeer Obaid has collaborated with scholars based in United States, Poland and Switzerland. Frequent co-authors include Kevin C. O’Connor, Richard J. Nowak, Venkatesha Basrur, Ronald Anthony DePinho, K. Venuprasad, Kevin P. Conlon, Prashant Khare, Bhaskar Roy, William M. Philbrick and Miriam L. Fichtner. Their work appears in journals such as Nature, Neurology Neuroimmunology & Neuroinflammation, Nature Communications, Nature Biotechnology 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.

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