Ninan T. Mathew

8.2k total citations
103 papers, 6.1k citations indexed

About

Ninan T. Mathew is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Ninan T. Mathew has authored 103 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Psychiatry and Mental health, 56 papers in Pathology and Forensic Medicine and 32 papers in Physiology. Recurrent topics in Ninan T. Mathew's work include Migraine and Headache Studies (84 papers), Trigeminal Neuralgia and Treatments (47 papers) and Sympathectomy and Hyperhidrosis Treatments (32 papers). Ninan T. Mathew is often cited by papers focused on Migraine and Headache Studies (84 papers), Trigeminal Neuralgia and Treatments (47 papers) and Sympathectomy and Hyperhidrosis Treatments (32 papers). Ninan T. Mathew collaborates with scholars based in United States, India and Australia. Ninan T. Mathew's co-authors include Stephen D. Silberstein, Jayasree Kailasam, Francisco Hernández Pérez, Joel R. Saper, Richard B. Lipton, Seymour Solomon, John Stirling Meyer, Luis Sanin, Nabih M. Ramadan and David W. Dodick and has published in prestigious journals such as JAMA, Neurology and Stroke.

In The Last Decade

Ninan T. Mathew

101 papers receiving 5.6k citations

Peers

Ninan T. Mathew
Comparison fields: 5 of 121
  • Psychiatry and Mental health 5.1k
  • Pathology and Forensic Medicine 3.2k
  • Physiology 2.6k
  • Neurology 1.3k
  • Surgery 638
Replace SD Silberstein with:
SD Silberstein United States
Joel R. Saper United States
Massimo Leone Italy
Manjit Matharu United Kingdom
Seymour Diamond United States
Sheena K. Aurora United States
Paul Winner United States
Roberto De Simone Italy
Catherine C. Turkel United States
Jan Lewis Brandes United States
SD Silberstein United States View profile →
Citations per field, relative to Ninan T. Mathew
Ninan T. Mathew · 1×
Citations per year, relative to Ninan T. Mathew
Ninan T. Mathew · 1×

Countries citing papers authored by Ninan T. Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Ninan T. Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ninan T. Mathew. 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 Ninan T. Mathew. The network helps show where Ninan T. Mathew may publish in the future.

Co-authorship network of co-authors of Ninan T. Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Ninan T. Mathew. A scholar is included among the top collaborators of Ninan T. Mathew based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ninan T. Mathew. Ninan T. Mathew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 52
2 3
3 100
4 23
5 127
6 29
7 8
8 71
9 45
10 198
11 5
12 29
13 25
14 16
15 41
16 95
17 22
18 103
19 34
20 76

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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