Seena K. Ajit

2.2k citations
43 papers · 1.7k indexed · h-index 24
Topics
Extracellular vesicles in disease (16 papers)MicroRNA in disease regulation (12 papers)Pain Mechanisms and Treatments (8 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Seena K. Ajit

43 papers receiving 1.7k citations

Peers

Seena K. Ajit
Comparison fields: 5 of 103
  • Molecular Biology 939
  • Cancer Research 535
  • Physiology 482
  • Cellular and Molecular Neuroscience 294
  • Anesthesiology and Pain Medicine 221
Replace Xiangqi Li with:
Xiangqi Li United States
Dong Huang China
María A. Hurlé Spain
Christopher R. Donnelly United States
Lixian Xu China
David B. Mach United States
Hasan O. Akman United States
John C. Dolan United States
Nancy M. Luger United States
Seena K. Ajit relative to Xiangqi Li United States Xiangqi Li's profile →
Citations per field
00.5×3.0×
Xiangqi Li · 1×
Citations per year

Countries citing papers authored by Seena K. Ajit

Since Specialization
Citations

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

Fields of papers citing papers by Seena K. Ajit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seena K. Ajit. 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 Seena K. Ajit. The network helps show where Seena K. Ajit may publish in the future.

Co-authorship network of co-authors of Seena K. Ajit

This figure shows the co-authorship network connecting the top 25 collaborators of Seena K. Ajit. A scholar is included among the top collaborators of Seena K. Ajit 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 Seena K. Ajit. Seena K. Ajit 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 6
2 2
3 3
4 4
5 24
6 28
7 6
8 26
9 36
10 126
11 38
12 20
13 18
14 24
15 25
16 272
17 21
18 29
19 84
20 33

About Seena K. Ajit

Seena K. Ajit is a scholar working on Anesthesiology and Pain Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (16 papers), MicroRNA in disease regulation (12 papers) and Pain Mechanisms and Treatments (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (221 citations), Cancer Research (535 citations) and Physiology (482 citations). Seena K. Ajit has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ahmet Saçan, Guillermo M. Alexander, Botros Shenoda, Yuzhen Tian, Marguerite K. McDonald, Rehman Qureshi, James E. Barrett, Ruby Gao, Adam Ertel and Robert J. Schwartzman. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

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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