Arshad Channanath

1.0k citations
42 papers · 571 indexed · h-index 13
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Pancreatic function and diabetes (6 papers)
Partner nations
KuwaitSaudi ArabiaJordan

In The Last Decade

Arshad Channanath

38 papers receiving 557 citations

Peers

Arshad Channanath
Comparison fields: 5 of 92
  • Genetics 165
  • Endocrinology, Diabetes and Metabolism 161
  • Infectious Diseases 123
  • Molecular Biology 94
  • Health Information Management 85
Replace Padmaja Kumari Rani with:
Padmaja Kumari Rani India
Rajiv Singla India
Roberta Forlano United Kingdom
Nicholas Conway United Kingdom
Shiva Borzouei Iran
Yihao Liu China
Angeliki M. Angelidi United States
Feyissa Challa Ethiopia
Ke Lin China
Noraidatulakma Abdullah Malaysia
Arshad Channanath relative to Padmaja Kumari Rani India Padmaja Kumari Rani's profile →
Citations per field
00.5×2.9×
Padmaja Kumari Rani · 1×
Citations per year

Countries citing papers authored by Arshad Channanath

Since Specialization
Citations

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

Fields of papers citing papers by Arshad Channanath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arshad Channanath

This figure shows the co-authorship network connecting the top 25 collaborators of Arshad Channanath. A scholar is included among the top collaborators of Arshad Channanath 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 Arshad Channanath. Arshad Channanath 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 0
3 1
4 2
5 0
6 2
7 4
8 1
9 1
10 3
11 3
12 9
13 41
14 11
15 35
16 4
17 49
18 24
19 8
20 90

About Arshad Channanath

Arshad Channanath is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Infectious Diseases, having authored 42 papers that have together received 571 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Health Information Management (85 citations), Health Informatics (14 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Arshad Channanath has collaborated with scholars based in Kuwait, Saudi Arabia and Jordan. Frequent co-authors include Thangavel Alphonse Thanaraj, Bassam Farran, Kazem Behbehani, Fahd Al‐Mulla, Hessa Alkandari, Mohamed Abu‐Farha, Jehad Abubaker, Dalia Al‐Abdulrazzaq, Sumi Elsa John and Prashantha Hebbar. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026