Hani T. S. Benamer

2.9k citations
46 papers · 1.3k indexed · h-index 18

Hani T. S. Benamer

40 papers receiving 1.2k citations

Peers

Hani T. S. Benamer
Comparison fields: 5 of 128
  • Neurology 659
  • Cellular and Molecular Neuroscience 231
  • Psychiatry and Mental health 176
  • Neurology 92
  • Rehabilitation 68
Replace Prasanthi Puvanachandra with:
Prasanthi Puvanachandra United States
Ángel Pérez Sempere Spain
Hassan Hosseini France
Éric Berger France
Mark O. McCarron United Kingdom
Guido Skipka Germany
Maria Isaac United States
Alun Ackery Canada
Cyril H. Wecht United States
Ritashree Chakrabarti United States
Hani T. S. Benamer relative to Prasanthi Puvanachandra United States Prasanthi Puvanachandra's profile →
Citations per field
00.5×3.6×
Prasanthi Puvanachandra · 1×
Citations per year

Countries citing papers authored by Hani T. S. Benamer

Since Specialization
Citations

This map shows the geographic impact of Hani T. S. Benamer'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 Hani T. S. Benamer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani T. S. Benamer more than expected).

Fields of papers citing papers by Hani T. S. Benamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hani T. S. Benamer. 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 Hani T. S. Benamer. The network helps show where Hani T. S. Benamer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20231
4 20236
5 20233
6 20219
7 20191
8 201419
9 201323
10 201075
11 201077
12 201045
13 20107
14 20097
15 200939
16 200917
17 2009103
18 200837
19 20077
20 20001

About Hani T. S. Benamer

Hani T. S. Benamer is a scholar working on Neurology, Family Practice and Anatomy, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Innovations in Medical Education (8 papers), Neurological disorders and treatments (7 papers), Health and Medical Research Impacts (5 papers), scientometrics and bibliometrics research (5 papers), Global Health and Surgery (5 papers), Global Health Workforce Issues (4 papers) and Interprofessional Education and Collaboration (3 papers). The work is most often cited by research in Neurology (659 citations), Cellular and Molecular Neuroscience (231 citations) and Psychiatry and Mental health (176 citations). Hani T. S. Benamer has collaborated with scholars based in United Kingdom, United Arab Emirates and Sweden. Frequent co-authors include Donald G. Grosset, Omran Bakoush, Donald M. Hadley, J. Patterson, G. J. A. Macphee, David J. Wyper, Rajith de Silva, Kavian Ghandehari, Davood Sobhani‐Rad and Akram A. Hosseini. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

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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