Tennore Ramesh

1.3k citations
25 papers · 936 indexed · h-index 15
Topics
Amyotrophic Lateral Sclerosis Research (12 papers)Neurogenetic and Muscular Disorders Research (11 papers)Zebrafish Biomedical Research Applications (4 papers)

In The Last Decade

Tennore Ramesh

24 papers receiving 919 citations

Peers

Tennore Ramesh
Comparison fields: 5 of 98
  • Molecular Biology 405
  • Neurology 287
  • Genetics 266
  • Cell Biology 140
  • Cellular and Molecular Neuroscience 125
Replace Fangfang Bi with:
Fangfang Bi China
Suzanne R. Burstein United States
Min Jeong Kye Germany
Ora Dillon‐Carter United States
Filippo Biamonte Italy
Isabelle Coupry France
Xiaolai Zhou United States
Derek Thomson United Kingdom
Zihui Xu China
Allyson Cole-Strauss United States
Tennore Ramesh relative to Fangfang Bi China Fangfang Bi's profile →
Citations per field
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Fangfang Bi · 1×
Citations per year

Countries citing papers authored by Tennore Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Tennore Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tennore Ramesh

This figure shows the co-authorship network connecting the top 25 collaborators of Tennore Ramesh. A scholar is included among the top collaborators of Tennore Ramesh 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 Tennore Ramesh. Tennore Ramesh 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 51
3 102
4 28
5 9
6 1
7 37
8 56
9 21
10 7
11 51
12 69
13 1
14 2
15 16
16 57
17 8
18 113
19 34
20 111

About Tennore Ramesh

Tennore Ramesh is a scholar working on Genetics, Neurology and Developmental Neuroscience, having authored 25 papers that have together received 936 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (12 papers), Neurogenetic and Muscular Disorders Research (11 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Genetics (266 citations), Behavioral Neuroscience (85 citations) and Neurology (287 citations). Tennore Ramesh has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Alexander McGown, Subbarao Bondada, Subramanian Muthukkumar, Pamela J. Shaw, Christine E. Beattie, Andrew J. Grierson, Basil Sharrack, Paul M.L. Janssen, Benjamin D. Canan and Chunping Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

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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