Kanchan Garai

3.0k citations
46 papers · 2.3k indexed · 1 hit paper · h-index 23
Topics
Alzheimer's disease research and treatments (27 papers)Protein Structure and Dynamics (18 papers)Computational Drug Discovery Methods (8 papers)

In The Last Decade

Kanchan Garai

43 papers receiving 2.2k citations

Hit Papers

ApoE influences amyloid-β (Aβ) clearance despite minimal ...20132026201720212013100200300400

Peers

Kanchan Garai
Comparison fields: 5 of 107
  • Molecular Biology 1.3k
  • Physiology 1.2k
  • Cellular and Molecular Neuroscience 293
  • Computational Theory and Mathematics 254
  • Materials Chemistry 183
Replace Benedetta Mannini with:
Benedetta Mannini United Kingdom
Leila M. Luheshi United Kingdom
Jüri Jarvet Sweden
Tamotsu Zako Japan
Katharina Tepper Germany
Zhefeng Guo United States
Nasrollah Rezaei‐Ghaleh Germany
Thomas M. Wengenack United States
Shivani Ahuja United States
Hans‐Wolfgang Klafki Germany
Kanchan Garai relative to Benedetta Mannini United Kingdom Benedetta Mannini's profile →
Citations per field
00.5×1.5×2.5×
Benedetta Mannini · 1×
Citations per year

Countries citing papers authored by Kanchan Garai

Since Specialization
Citations

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

Fields of papers citing papers by Kanchan Garai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanchan Garai

This figure shows the co-authorship network connecting the top 25 collaborators of Kanchan Garai. A scholar is included among the top collaborators of Kanchan Garai 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 Kanchan Garai. Kanchan Garai 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 1
2 0
3 0
4 9
5 4
6 6
7 8
8 6
9 8
10 1
11 7
12 18
13 1
14 92
15 0
16 4
17 29
18 49
19 17
20 89

About Kanchan Garai

Kanchan Garai is a scholar working on Biophysics, Physiology and Aging, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (27 papers), Protein Structure and Dynamics (18 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Physiology (1.2k citations), Biophysics (128 citations) and Neurology (181 citations). Kanchan Garai has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Carl Frieden, Sudipta Maiti, Piali Sengupta, Bankanidhi Sahoo, Philip B. Verghese, David M. Holtzman, Rohit V. Pappu, Berevan Baban, Yinong Wang and Joseph M. Castellano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

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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