Kumaran Deiva

6.7k total citations
97 papers, 2.4k citations indexed

About

Kumaran Deiva is a scholar working on Neurology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Kumaran Deiva has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Neurology, 45 papers in Pathology and Forensic Medicine and 19 papers in Rheumatology. Recurrent topics in Kumaran Deiva's work include Multiple Sclerosis Research Studies (43 papers), Peripheral Neuropathies and Disorders (24 papers) and Autoimmune Neurological Disorders and Treatments (17 papers). Kumaran Deiva is often cited by papers focused on Multiple Sclerosis Research Studies (43 papers), Peripheral Neuropathies and Disorders (24 papers) and Autoimmune Neurological Disorders and Treatments (17 papers). Kumaran Deiva collaborates with scholars based in France, United States and United Kingdom. Kumaran Deiva's co-authors include Marc Tardieu, Ming Lim, Marc Tardieu, B. Husson, Pascale Chrétien, Patrick Waters, Yael Hacohen, Angela Vincent, Jean‐Michel Heard and Michel Zérah and has published in prestigious journals such as Neurology, The Lancet Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Kumaran Deiva

91 papers receiving 2.3k citations

Peers

Kumaran Deiva
Comparison fields: 5 of 82
  • Neurology 1.2k
  • Pathology and Forensic Medicine 866
  • Molecular Biology 463
  • Genetics 386
  • Rheumatology 321
Replace Christian Probst with:
Christian Probst Germany
Rinze F. Neuteboom Netherlands
Stephen Reddel Australia
Mefkûre Eraksoy Türkiye
Ian Sutton Australia
Yael Hacohen United Kingdom
A. Sebastian López‐Chiriboga United States
Jonathan B. Strober United States
Ana Silva Portugal
Maria Isabel Leite United Kingdom
Christian Probst Germany View profile →
Citations per field, relative to Kumaran Deiva
Kumaran Deiva · 1×
Citations per year, relative to Kumaran Deiva
Kumaran Deiva · 1×

Countries citing papers authored by Kumaran Deiva

Since Specialization
Citations

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

Fields of papers citing papers by Kumaran Deiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumaran Deiva

This figure shows the co-authorship network connecting the top 25 collaborators of Kumaran Deiva. A scholar is included among the top collaborators of Kumaran Deiva 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 Kumaran Deiva. Kumaran Deiva 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 0
2 2
3 1
4 4
5 31
6 8
7 2
8 21
9 29
10 6
11 20
12 7
13 86
14 13
15 24
16 95
17 95
18 13
19 23
20 13

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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