Senthilkumar Krishnamoorthi

1.4k citations
26 papers · 1.1k indexed · h-index 20
Topics
Alzheimer's disease research and treatments (9 papers)Autophagy in Disease and Therapy (8 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)
Partner nations
IndiaHong KongChina

In The Last Decade

Senthilkumar Krishnamoorthi

25 papers receiving 1.1k citations

Peers

Senthilkumar Krishnamoorthi
Comparison fields: 5 of 103
  • Molecular Biology 455
  • Physiology 275
  • Epidemiology 265
  • Pharmacology 149
  • Cancer Research 115
Replace Jacqueline Hernández‐Damián with:
Jacqueline Hernández‐Damián Mexico
Willayat Yousuf Wani India
Mingyue Wu China
Sun‐Young Hwang South Korea
Wen‐Jun Duan China
P. Andy Li United States
Zhen‐Lun Gu China
Sravan Gopalkrishnashetty Sreenivasmurthy Hong Kong
Chong Xu China
Senthilkumar Krishnamoorthi relative to Jacqueline Hernández‐Damián Mexico Jacqueline Hernández‐Damián's profile →
Citations per field
00.5×1.5×2.3×
Jacqueline Hernández‐Damián · 1×
Citations per year

Countries citing papers authored by Senthilkumar Krishnamoorthi

Since Specialization
Citations

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

Fields of papers citing papers by Senthilkumar Krishnamoorthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthilkumar Krishnamoorthi

This figure shows the co-authorship network connecting the top 25 collaborators of Senthilkumar Krishnamoorthi. A scholar is included among the top collaborators of Senthilkumar Krishnamoorthi 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 Senthilkumar Krishnamoorthi. Senthilkumar Krishnamoorthi 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 4
3 11
4 30
5 57
6 24
7 38
8 22
9 43
10 44
11 26
12 66
13 43
14 189
15 30
16 42
17 19
18 29
19 12
20 7

About Senthilkumar Krishnamoorthi

Senthilkumar Krishnamoorthi is a scholar working on Pharmacology, Physiology and Physiology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Autophagy in Disease and Therapy (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Neurology (105 citations) and Physiology (54 citations). Senthilkumar Krishnamoorthi has collaborated with scholars based in India, Hong Kong and China. Frequent co-authors include Ashok Iyaswamy, Sravan Gopalkrishnashetty Sreenivasmurthy, Min Li, J. Arunakaran, King‐Ho Cheung, Ju‐Xian Song, Zhou Zhu, Benjamin Chun‐Kit Tong, Jia Liu and Jiahong Lu. Their work appears in journals such as ACS Applied Materials & Interfaces, International Journal of Molecular Sciences and Molecular Psychiatry.

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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