Mohammed Akil

3.5k citations
45 papers · 1.2k · h-index 17

Impact in

    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies
  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology

Papers in

Mohammed Akil

39 papers receiving 1.2k citations

Peers

Mohammed Akil
Comparison fields: 5 of 86
  • Rheumatology 538
  • Immunology 290
  • Pathology and Forensic Medicine 137
  • Hematology 85
  • Biological Psychiatry 12
Replace Karina de Leeuw with:
Karina de Leeuw Netherlands
Silvano Bettio Italy
Linda Nalotto Italy
Naoichiro Yukawa Japan
Kwi Young Kang South Korea
Francesca Bellisai Italy
Tiffany Caza United States
Gabriella Morozzi Italy
Gráinne Murphy Ireland
Szilvia Szamosi Hungary
Mohammed Akil relative to Karina de Leeuw Netherlands Karina de Leeuw's profile →
Citations per field
00.5×1.5×
Karina de Leeuw · 1×
Citations per year

Countries citing papers authored by Mohammed Akil

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Akil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008259
2 2008111
3 2010104
4 200782
5 200981
6 200670
7 201263
8 200057
9 201050
10 201643
11 202240
12 201839
13 201528
14 200724
15 201523
16 201219
17 202017
18 201916
19 201915
20 202214

About Mohammed Akil

Mohammed Akil is a scholar working on Rheumatology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Physiology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (10 papers), Systemic Sclerosis and Related Diseases (8 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Salivary Gland Disorders and Functions (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Vasculitis and related conditions (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Skin Diseases and Diabetes (2 papers). The work is most often cited by research in Rheumatology (538 citations), Immunology (290 citations), Pathology and Forensic Medicine (137 citations), Hematology (85 citations) and Biological Psychiatry (12 citations). Mohammed Akil has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Anthony G. Wilson, Robert C. Read, Gordon W. Duff, Caroline Gordon, Ian N Bruce, Chee‐Seng Yee, Yasmeen Ahmad, Munther A. Khamashta, Anisur Rahman and Bridget Griffiths. Their work appears in journals such as Lara D. Veeken, Arthritis Care & Research, The Journal of Rheumatology, Trials and Clinical Rheumatology.

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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