Mohammad Ali

29 papers receiving 1.3k citations

Mohammad Ali's Hit Papers

Immunogenicity of standard and extended dosing intervals of BNT162b2 mRNA vaccine 2021 · 249 citations
2490+1+3Years since publication50100150200

Peers

Mohammad Ali
Comparison fields: 5 of 93
  • Infectious Diseases 842
  • Health 117
  • Modeling and Simulation 51
  • Obstetrics and Gynecology 70
  • Immunology 201
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Hannah Sainsbury United Kingdom
Julie Zamikula United Kingdom
Anne Marie O’Connell United Kingdom
Jinyong Choi South Korea
Lynn Maslen United Kingdom
Miyo Ota United States
Jamie L. Redes United States
Sebastian Hörber Germany
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Countries citing papers authored by Mohammad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immunogenicity of standard and extended dosing intervals of BNT162b2 mRNA vaccine
Hit paper breakdown →
2021249
2 2021188
3 2018143
4 2021131
5 2021129
6 2021104
7 202197
8 202382
9 202149
10 202230
11 202221
12 201821
13 202218
14 202216
15 202110
16 20249
17 20239
18 20018
19 20245
20 19704

About Mohammad Ali

Mohammad Ali is a scholar working on Infectious Diseases, Hepatology, Immunology, Epidemiology and Endocrinology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (4 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Diet and metabolism studies (2 papers), Immune cells in cancer (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Infectious Diseases (842 citations), Health (117 citations), Modeling and Simulation (51 citations), Obstetrics and Gynecology (70 citations) and Immunology (201 citations). Mohammad Ali has collaborated with scholars based in United Kingdom, Bangladesh and United States. Frequent co-authors include Linda Hildegard Bergersen, Jon Storm‐Mathisen, Knut Husø Lauritzen, Md Mahdi Hasan‐Olive, Lene Juel Rasmussen, Naeemul Hassan, Alex Richter, Graham McIlroy, Tina McSkeane and Helen Parry. Their work appears in journals such as Nature Communications, Diabetes & Metabolic Syndrome Clinical Research & Reviews, mBio, Bulletin of the World Health Organization and Molecular Biology Reports.

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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