Shan Siddiqi

3.7k citations
81 papers · 1.6k · 1 hit paper · h-index 18

Impact in

  • Neurology top 1%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function

Papers in

    • Functional Brain Connectivity Studies 33
    • EEG and Brain-Computer Interfaces 5
    • Transcranial Magnetic Stimulation Studies 34
    • Neurological disorders and treatments 17

Shan Siddiqi

67 papers receiving 1.6k citations

Shan Siddiqi's Hit Papers

Causal mapping of human brain function 2022 · 194 citations
1940+1+2Years since publication50100150

Peers

Shan Siddiqi
Comparison fields: 5 of 92
  • Neurology 577
  • Cognitive Neuroscience 761
  • Neurology 248
  • Psychiatry and Mental health 162
  • Biological Psychiatry 24
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Countries citing papers authored by Shan Siddiqi

Since Specialization
Citations

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

Fields of papers citing papers by Shan Siddiqi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020230
2 2020215
3
Causal mapping of human brain function
Hit paper breakdown →
2022194
4 2019162
5 2022124
6 201875
7 202362
8 202147
9 202134
10 202233
11 202328
12 202328
13 201927
14 202326
15 202321
16 202321
17 202220
18 202418
19 201917
20 202316

About Shan Siddiqi

Shan Siddiqi is a scholar working on Cognitive Neuroscience, Neurology, Neurology, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (34 papers), Functional Brain Connectivity Studies (33 papers), Neurological disorders and treatments (17 papers), Traumatic Brain Injury Research (8 papers), Neuroscience and Neural Engineering (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Neurology (577 citations), Cognitive Neuroscience (761 citations), Neurology (248 citations), Psychiatry and Mental health (162 citations) and Biological Psychiatry (24 citations). Shan Siddiqi has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Michael Fox, Danielle Cooke, Josef Parvizi, Konrad P. Körding, Mark S. George, Stephan F. Taylor, Álvaro Pascual‐Leone, Jonathan Downar, Paul B. Fitzgerald and Andrew Zalesky. Their work appears in journals such as Brain stimulation, Biological Psychiatry, Neuropsychopharmacology, Journal of Affective Disorders and F1000Research.

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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