Chandrayee Ghosh

447 citations
22 papers · 228 · h-index 11

Impact in

Papers in

Chandrayee Ghosh

21 papers receiving 220 citations

Peers

Chandrayee Ghosh
Comparison fields: 5 of 67
  • Computer Networks and Communications 78
  • Endocrinology, Diabetes and Metabolism 28
  • Immunology 27
  • Oncology 26
  • Electrical and Electronic Engineering 61
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Citations per field
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Citations per year

Countries citing papers authored by Chandrayee Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Chandrayee Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chandrayee Ghosh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chandrayee Ghosh Line = papers co-authored together Chandrayee Ghosh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201227
2 201224
3 197923
4 202019
5 202317
6 200617
7 201516
8 201916
9 202013
10 201513
11 202311
12 20248
13 20076
14
A case of bilateral cryptophthalmos.
19525
15 20073
16 20123
17 20202
18
Presence of toll like receptor-2 in spleen, lymph node and thymus of Swiss albino mice and its modulation by Staphylococcus aureus and bacterial lipopolysaccharide. .
20152
19 20231
20 20261

About Chandrayee Ghosh

Chandrayee Ghosh is a scholar working on Molecular Biology, Computer Networks and Communications, Oncology, Electrical and Electronic Engineering and Surgery, having authored 22 papers that have together received 228 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (4 papers), Adrenal and Paraganglionic Tumors (3 papers), Immune Response and Inflammation (3 papers), Ferroptosis and cancer prognosis (2 papers), Advanced MIMO Systems Optimization (2 papers), Cooperative Communication and Network Coding (2 papers), Cancer-related Molecular Pathways (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computer Networks and Communications (78 citations), Endocrinology, Diabetes and Metabolism (28 citations), Immunology (27 citations), Oncology (26 citations) and Electrical and Electronic Engineering (61 citations). Chandrayee Ghosh has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Biswadev Bishayi, Sumit Roy, Electron Kebebew, Jiangnan Hu, Marepalli B. Rao, Dharma P. Agrawal, John A. Robinson, Hui Liu, Ping Zhang and Xiaofan Li. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Cancer Letters, Clinical Cancer Research, Immunobiology and International review of cell and molecular 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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