Veeramani Preethish‐Kumar

1.2k citations
72 papers · 652 indexed · h-index 17
Topics
Muscle Physiology and Disorders (24 papers)Neurogenetic and Muscular Disorders Research (15 papers)Cardiomyopathy and Myosin Studies (13 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Cell BiologyNeurology

In The Last Decade

Veeramani Preethish‐Kumar

68 papers receiving 639 citations

Peers

Veeramani Preethish‐Kumar
Comparison fields: 5 of 77
  • Molecular Biology 317
  • Neurology 190
  • Genetics 113
  • Surgery 112
  • Cellular and Molecular Neuroscience 100
Replace Kiran Polavarapu with:
Kiran Polavarapu India
Seena Vengalil India
Carlos de Sousa United Kingdom
Saraswati Nashi India
Pierre‐Yves Jeannet Switzerland
Claudio Bruno Italy
Kee Duk Park South Korea
T. Voit Germany
Melinda Nolan Australia
Alfred Peter Born Denmark
Veeramani Preethish‐Kumar relative to Kiran Polavarapu India Kiran Polavarapu's profile →
Citations per field
00.5×1.5×
Kiran Polavarapu · 1×
Citations per year

Countries citing papers authored by Veeramani Preethish‐Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Veeramani Preethish‐Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veeramani Preethish‐Kumar. 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 Veeramani Preethish‐Kumar. The network helps show where Veeramani Preethish‐Kumar may publish in the future.

Co-authorship network of co-authors of Veeramani Preethish‐Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Veeramani Preethish‐Kumar. A scholar is included among the top collaborators of Veeramani Preethish‐Kumar 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 Veeramani Preethish‐Kumar. Veeramani Preethish‐Kumar 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
#WorkIndexed citations
1 0
2 1
3 5
4 1
5 7
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7 8
8 1
9 4
10 7
11 4
12 8
13 4
14 10
15 2
16 9
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18 18
19 38
20 10

About Veeramani Preethish‐Kumar

Veeramani Preethish‐Kumar is a scholar working on Genetics, Neurology and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 652 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Neurogenetic and Muscular Disorders Research (15 papers) and Cardiomyopathy and Myosin Studies (13 papers). The work is most often cited by research in Neurology (190 citations), Genetics (113 citations) and Cellular and Molecular Neuroscience (100 citations). Veeramani Preethish‐Kumar has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include Atchayaram Nalini, Kiran Polavarapu, Seena Vengalil, Saraswati Nashi, Priya Treesa Thomas, Ravinder‐Jeet Singh, Narayanappa Gayathri, Chandrajit Prasad, Jitender Saini and Meera Purushottam. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and 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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