Nickalus R. Khan

3.0k citations
95 papers · 2.0k indexed · h-index 26

Nickalus R. Khan

82 papers receiving 1.9k citations

Peers

Nickalus R. Khan
Comparison fields: 5 of 150
  • Statistics, Probability and Uncertainty 284
  • Neurology 496
  • Gender Studies 274
  • Health Informatics 31
  • Pathology and Forensic Medicine 366
Replace James K. Liu with:
James K. Liu United States
Garrett T. Venable United States
John E. Fenton Ireland
Gregory D. Schroeder United States
Janis Glover United States
Harris L. Cohen United States
Christopher J. Pannucci United States
Ernesto Roldán-Valadéz Mexico
Ian J. Saldanha United States
Lilit Ayvazyan United Kingdom
Nickalus R. Khan relative to James K. Liu United States James K. Liu's profile →
Citations per field
00.5×2.7×
James K. Liu · 1×
Citations per year

Countries citing papers authored by Nickalus R. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Nickalus R. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nickalus R. Khan. 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 Nickalus R. Khan. The network helps show where Nickalus R. Khan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20233
4 20231
5 20230
6 20222
7 20221
8 20221
9 202242
10 20220
11 20228
12 20227
13 20210
14 20211
15 20211
16 20202
17 20192
18 201913
19 201776
20 201479

About Nickalus R. Khan

Nickalus R. Khan is a scholar working on Neurology, Statistics, Probability and Uncertainty and Gender Studies, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (26 papers), Meningioma and schwannoma management (17 papers), Traumatic Brain Injury and Neurovascular Disturbances (15 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Meta-analysis and systematic reviews (11 papers), Vascular Malformations Diagnosis and Treatment (11 papers), Diversity and Career in Medicine (10 papers) and Cerebrospinal fluid and hydrocephalus (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (284 citations), Neurology (496 citations) and Gender Studies (274 citations). Nickalus R. Khan has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Asim F. Choudhri, Paul Klimo, Harris L. Cohen, Garrett T. Venable, Clinton J. Thompson, Adeel Siddiqui, Douglas Taylor, L. Madison Michael, Kevin T. Foley and Paul Klimo. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Journal of neurosurgery.

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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