Kanna Gnanalingham

3.0k citations
99 papers · 2.2k indexed · h-index 25

Kanna Gnanalingham

97 papers receiving 2.1k citations

Peers

Kanna Gnanalingham
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 600
  • Neurology 539
  • Pathology and Forensic Medicine 583
  • Cellular and Molecular Neuroscience 446
  • Genetics 194
Replace Michael S. Huckman with:
Michael S. Huckman United States
Frederick A. Simeone United States
Asa J. Wilbourn United States
Lawrence H. Phillips United States
Dennis Malkasian United States
Christopher B. T. Adams United Kingdom
Joseph V. McDonald United States
Akira Uchino Japan
George Stranjalis Greece
Russ P. Nockels United States
Kanna Gnanalingham relative to Michael S. Huckman United States Michael S. Huckman's profile →
Citations per field
00.5×9.7×
Michael S. Huckman · 1×
Citations per year

Countries citing papers authored by Kanna Gnanalingham

Since Specialization
Citations

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

Fields of papers citing papers by Kanna Gnanalingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 20193
3 201710
4 201718
5 20149
6 20114
7 201020
8 20084
9 20082
10
Value of early post-operative growth hormone assessment in acromegaly surgery
20071
11 200622
12 200689
13 20053
14 200514
15 200490
16 200418
17 20046
18 20013
19 199531
20 199411

About Kanna Gnanalingham

Kanna Gnanalingham is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Otorhinolaryngology, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (39 papers), Head and Neck Surgical Oncology (21 papers), Meningioma and schwannoma management (18 papers), Spine and Intervertebral Disc Pathology (13 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Cerebrospinal fluid and hydrocephalus (10 papers), Glioma Diagnosis and Treatment (9 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (600 citations), Neurology (539 citations) and Pathology and Forensic Medicine (583 citations). Kanna Gnanalingham has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Tara Kearney, A. Jackie Hunter, Judith A. Hoyland, Stephen M. Richardson, Peter Jenner, C. D. Marsden, R. G. H. Robertson, J.R. Davis, Sinan Barazi and Kevin O’Neill. Their work appears in journals such as Scientific Reports, Brain Research and Spine.

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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