Madhan Kolappan

1.0k citations
5 papers · 664 indexed · 1 hit paper · h-index 4
Topics
Retinal Imaging and Analysis (2 papers)Multiple Sclerosis Research Studies (2 papers)Meningioma and schwannoma management (1 paper)
Partner nations
United KingdomAustralia

In The Last Decade

Madhan Kolappan

5 papers receiving 642 citations

Hit Papers

Autologous mesenchymal stem cells for the treatment of se...20122026201620212012100200300400

Peers

Madhan Kolappan
Comparison fields: 5 of 62
  • Genetics 307
  • Molecular Biology 190
  • Pathology and Forensic Medicine 151
  • Ophthalmology 133
  • Developmental Neuroscience 124
Replace Ji Min Yu with:
Ji Min Yu South Korea
Daniel J. Webber United Kingdom
Tatiana Lopatina Italy
Gavin W. Roddy United States
Elizabeth Mallam United Kingdom
Masahiko Takano Japan
Bernardo Sánchez‐Dalmau Spain
Francesca Sangalli Italy
Maria Claudia Vigliani Italy
Madhan Kolappan relative to Ji Min Yu South Korea Ji Min Yu's profile →
Citations per field
00.5×4.7×
Ji Min Yu · 1×
Citations per year

Countries citing papers authored by Madhan Kolappan

Since Specialization
Citations

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

Fields of papers citing papers by Madhan Kolappan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhan Kolappan

This figure shows the co-authorship network connecting the top 25 collaborators of Madhan Kolappan. A scholar is included among the top collaborators of Madhan Kolappan 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 Madhan Kolappan. Madhan Kolappan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Autologous mesenchymal stem cells for the treatment of secondary progressive multiple sclerosis: an open-label phase 2a proof-of-concept studybreakdown →
457
2 117
3 12
4
Retinal Nerve Fibre Layer Imaging as a Possible Biomarker of Schizophrenia
1
5 77

About Madhan Kolappan

Madhan Kolappan is a scholar working on Ophthalmology, Pathology and Forensic Medicine and Orthopedics and Sports Medicine, having authored 5 papers that have together received 664 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (2 papers), Multiple Sclerosis Research Studies (2 papers) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Developmental Neuroscience (124 citations), Genetics (307 citations) and Ophthalmology (133 citations). Madhan Kolappan has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Alan J. Thompson, David H. Miller, Shi‐Lu Luan, Siddharthan Chandran, Peter Connick, Daniel R. Altmann, Andrew W. Michell, Charles Crawley, Ming‐Qing Du and Alastair Compston. Their work appears in journals such as The Lancet Neurology, Journal of Magnetic Resonance Imaging and Journal of Neurology.

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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