Ramanath Majumdar

1.2k citations
45 papers · 872 indexed · h-index 17
Topics
Neurogenetic and Muscular Disorders Research (7 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)SARS-CoV-2 detection and testing (5 papers)

In The Last Decade

Ramanath Majumdar

42 papers receiving 849 citations

Peers

Ramanath Majumdar
Comparison fields: 5 of 113
  • Molecular Biology 343
  • Pulmonary and Respiratory Medicine 193
  • Cardiology and Cardiovascular Medicine 187
  • Epidemiology 122
  • Infectious Diseases 120
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Lin Sun China
Foo Cheung United States
Hisashi Sawada Japan
Joris R. Delanghe Belgium
Shigeru Suzuki Japan
Claudio Bazzi Italy
Jon Lewis United States
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Chenglin Zhang China
Ramanath Majumdar relative to Lin Sun China Lin Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ramanath Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Ramanath Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramanath Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Ramanath Majumdar. A scholar is included among the top collaborators of Ramanath Majumdar 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 Ramanath Majumdar. Ramanath Majumdar 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 1
4 10
5 5
6 17
7 114
8 16
9 19
10 27
11 207
12 16
13 14
14 13
15 6
16 3
17 6
18 18
19 8
20 20

About Ramanath Majumdar

Ramanath Majumdar is a scholar working on Genetics, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 45 papers that have together received 872 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (187 citations), Infectious Diseases (120 citations) and Pulmonary and Respiratory Medicine (193 citations). Ramanath Majumdar has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Thoralf M. Sundt, Marineh Yagubyan, M. E. O’Neill, Stephen H. McKellar, David J. Tester, Michael J. Ackerman, A.S. Balasubramanian, William A. Bridger, Mohammed Al Jumah and Adnan Awada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Biochemistry.

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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