M. Arfan Ikram

131.3k citations
837 papers · 34.1k indexed · 14 hit papers · h-index 96
Topics
Dementia and Cognitive Impairment Research (135 papers)Cerebrovascular and Carotid Artery Diseases (74 papers)Alzheimer's disease research and treatments (62 papers)

In The Last Decade

M. Arfan Ikram

798 papers receiving 33.6k citations

Hit Papers

Incidental Findings on Brain MRI in the General Population2007202620132019200720082017201720202505007501000

Peers

M. Arfan Ikram
Comparison fields: 5 of 210
  • Psychiatry and Mental health 6.5k
  • Physiology 6.4k
  • Neurology 5.7k
  • Epidemiology 5.6k
  • Cardiology and Cardiovascular Medicine 4.8k
Replace Sudha Seshadri with:
Sudha Seshadri United States
Alexa Beiser United States
Charles DeCarli United States
Lenore J. Launer United States
Cornelia M. van Duijn Netherlands
Christophe Tzourio France
Walter A. Rocca United States
Peter J. Koudstaal Netherlands
Oscar L. López United States
Walter J. Koroshetz United States
M. Arfan Ikram relative to Sudha Seshadri United States Sudha Seshadri's profile →
Citations per field
00.5×1.5×1.9×
Sudha Seshadri · 1×
Citations per year

Countries citing papers authored by M. Arfan Ikram

Since Specialization
Citations

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

Fields of papers citing papers by M. Arfan Ikram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Arfan Ikram. 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 M. Arfan Ikram. The network helps show where M. Arfan Ikram may publish in the future.

Co-authorship network of co-authors of M. Arfan Ikram

This figure shows the co-authorship network connecting the top 25 collaborators of M. Arfan Ikram. A scholar is included among the top collaborators of M. Arfan Ikram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Arfan Ikram. M. Arfan Ikram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 4
4 2
5 0
6 17
7 10
8 1
9 5
10 232
11 48
12 9
13 23
14 39
15 11
16 15
17 39
18 0
19 104
20 87

About M. Arfan Ikram

M. Arfan Ikram is a scholar working on Psychiatry and Mental health, Neurology and Neurology, having authored 837 papers that have together received 34.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (135 papers), Cerebrovascular and Carotid Artery Diseases (74 papers) and Alzheimer's disease research and treatments (62 papers). The work is most often cited by research in Psychiatry and Mental health (6.5k citations), Neurology (3.4k citations) and Neurology (5.7k citations). M. Arfan Ikram has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Albert Hofman, Meike W. Vernooij, Aad van der Lugt, Monique M.B. Breteler, Peter J. Koudstaal, Wiro J. Niessen, Oscar H. Franco, Frank J. Wolters, Gabriël P. Krestin and M. Kamran Ikram. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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