Manasi Majumdar

1.3k citations
34 papers · 547 indexed · h-index 13
Topics
Viral gastroenteritis research and epidemiology (20 papers)Viral Infections and Immunology Research (18 papers)Hepatitis Viruses Studies and Epidemiology (10 papers)

In The Last Decade

Manasi Majumdar

33 papers receiving 528 citations

Peers

Manasi Majumdar
Comparison fields: 5 of 69
  • Infectious Diseases 363
  • Cardiology and Cardiovascular Medicine 163
  • Epidemiology 134
  • Hepatology 109
  • Molecular Biology 91
Replace Zhenzhou Wan with:
Zhenzhou Wan China
Yu‐Nong Gong Taiwan
Maria Grazia Milia Italy
Irina Nastassja Riediger Brazil
Emmanuel Vidor France
Gisèle Lagathu France
Linqing Zhao China
Jens Modrof Austria
Elena N. Lopareva United States
Sophie Vallet France
Manasi Majumdar relative to Zhenzhou Wan China Zhenzhou Wan's profile →
Citations per field
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Zhenzhou Wan · 1×
Citations per year

Countries citing papers authored by Manasi Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Manasi Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manasi Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Manasi Majumdar. A scholar is included among the top collaborators of Manasi 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 Manasi Majumdar. Manasi 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 2
2 6
3 7
4 1
5 11
6 1
7 1
8 2
9 7
10 30
11 2
12 9
13 25
14 10
15 5
16 33
17 11
18 5
19 29
20 12

About Manasi Majumdar

Manasi Majumdar is a scholar working on Infectious Diseases, Hepatology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 547 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (20 papers), Viral Infections and Immunology Research (18 papers) and Hepatitis Viruses Studies and Epidemiology (10 papers). The work is most often cited by research in Infectious Diseases (363 citations), Hepatology (109 citations) and Cardiology and Cardiovascular Medicine (163 citations). Manasi Majumdar has collaborated with scholars based in United Kingdom, India and Senegal. Frequent co-authors include Javier Martín, Radha Kanta Ratho, Mini P. Singh, Thomas Wilton, Dimitra Klapsa, Yogesh Chawla, Erika Bujáki, Ryan Mate, Martin Fritzsche and Maria Zambon. Their work appears in journals such as Scientific Reports, The Journal of Infectious Diseases and Frontiers in Immunology.

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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