Rajesh Ghosh

1.5k total citations · 2 hit papers
43 papers, 1.0k citations indexed

About

Rajesh Ghosh is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Rajesh Ghosh has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Biomedical Engineering and 9 papers in Infectious Diseases. Recurrent topics in Rajesh Ghosh's work include Biosensors and Analytical Detection (9 papers), Computational Drug Discovery Methods (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Rajesh Ghosh is often cited by papers focused on Biosensors and Analytical Detection (9 papers), Computational Drug Discovery Methods (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Rajesh Ghosh collaborates with scholars based in India, United States and United Kingdom. Rajesh Ghosh's co-authors include Ashis Biswas, Ayon Chakraborty, Snehasis Chowdhuri, S. Pushpavanam, T. Renganathan, Dino Di Carlo, Alok Kumar Panda, Aydogan Özcan, Gyeo‐Re Han and Hiromi Miwa and has published in prestigious journals such as Nature, Nature Communications and ACS Nano.

In The Last Decade

Rajesh Ghosh

41 papers receiving 1000 citations

Hit Papers

Evaluation of green tea polyphenols as novel corona virus... 2020 2026 2022 2024 2020 2025 50 100 150 200

Peers

Rajesh Ghosh
Comparison fields: 5 of 112
  • Molecular Biology 323
  • Biomedical Engineering 258
  • Computational Theory and Mathematics 220
  • Infectious Diseases 166
  • Organic Chemistry 114
Replace Khalid Mashay Al‐Anazi with:
Khalid Mashay Al‐Anazi Saudi Arabia
Mohammad Z. Ahmed Saudi Arabia
Md Sajjadur Rahman United States
Md Ataul Islam United Kingdom
Haitao Lü China
Anuradha Gajjar India
Mamdouh R. Rezk Egypt
V. Ragunathan India
Abdul Rahman Khan India
Hadir M. Maher Egypt
Khalid Mashay Al‐Anazi Saudi Arabia View profile →
Citations per field, relative to Rajesh Ghosh
Rajesh Ghosh · 1×
Citations per year, relative to Rajesh Ghosh
Rajesh Ghosh · 1×

Countries citing papers authored by Rajesh Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Ghosh. A scholar is included among the top collaborators of Rajesh Ghosh 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 Rajesh Ghosh. Rajesh Ghosh 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
# Work Indexed citations
1 0
2
Machine learning in point-of-care testing: innovations, challenges, and opportunities breakdown →
47
3 5
4 3
5 10
6 7
7 10
8 3
9 18
10 25
11 29
12 18
13 53
14 39
15 23
16 111
17 61
18 1
19 1
20 4

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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