Omar Pathmanaban

2.7k citations
67 papers · 613 indexed · h-index 16

Impact in

  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases
    • Vascular Malformations Diagnosis and Treatment
    • Cerebral Venous Sinus Thrombosis
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Meningioma and schwannoma management 38
    • Neurofibromatosis and Schwannoma Cases 25

Omar Pathmanaban

56 papers receiving 602 citations

Peers

Omar Pathmanaban
Comparison fields: 5 of 75
  • Neurology 324
  • Genetics 89
  • Epidemiology 275
  • Neurology 49
  • Developmental Neuroscience 21
Replace Türker Kılıç with:
Türker Kılıç Türkiye
Lucas P. Carlstrom United States
Carlo Venturi Italy
Marcos Vinícius Calfat Maldaun Brazil
Milena Calderone Italy
Daniele Armocida Italy
Karen Ma United States
Carlo Cappelli Italy
Guilhem Solé France
Omar Pathmanaban relative to Türker Kılıç Türkiye Türker Kılıç's profile →
Citations per field
00.5×4.1×
Türker Kılıç · 1×
Citations per year

Countries citing papers authored by Omar Pathmanaban

Since Specialization
Citations

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

Fields of papers citing papers by Omar Pathmanaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 201750
3 202040
4 202332
5 201732
6 202128
7 201026
8 202423
9 202021
10 201720
11 201820
12 202019
13 201719
14 201616
15 201815
16 202215
17 202013
18 202013
19 201813
20 202312

About Omar Pathmanaban

Omar Pathmanaban is a scholar working on Epidemiology, Neurology, Surgery, Rheumatology and Genetics, having authored 67 papers that have together received 613 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (38 papers), Neurofibromatosis and Schwannoma Cases (25 papers), Bone Tumor Diagnosis and Treatments (13 papers), Glioma Diagnosis and Treatment (10 papers), Head and Neck Surgical Oncology (9 papers), Pituitary Gland Disorders and Treatments (7 papers), Ear and Head Tumors (6 papers) and Oral and Maxillofacial Pathology (5 papers). The work is most often cited by research in Neurology (324 citations), Genetics (89 citations), Epidemiology (275 citations), Neurology (49 citations) and Developmental Neuroscience (21 citations). Omar Pathmanaban has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Andrew T. King, D. Gareth Evans, David Brough, Scott Rutherford, Charlotte Hammerbeck-Ward, Claire O’Leary, Cathal John Hannan, Ian Kamaly-Asl, Federico Roncaroli and Miriam J. Smith. Their work appears in journals such as Neuro-Oncology Advances, World Neurosurgery, Neurosurgery, The Laryngoscope and Scientific Reports.

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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