Manjari Mazumdar

898 citations
10 papers · 709 indexed · h-index 9
    • Microtubule and mitosis dynamics 7
  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology 1
    • Genomics and Chromatin Dynamics 2
    • Nuclear Structure and Function 1
    • DNA Repair Mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Viral gastroenteritis research and epidemiology 1
    • Agricultural pest management studies 1

Manjari Mazumdar

10 papers receiving 703 citations

Peers

Manjari Mazumdar
Comparison fields: 5 of 68
  • Cell Biology 416
  • Hepatology 110
  • Molecular Biology 454
  • Infectious Diseases 84
  • Aging 7
Replace Samantha G. Zeitlin with:
Samantha G. Zeitlin United States
Sabine Mazaleyrat United Kingdom
Vasker Bhattacherjee United States
Kazushige Hamada Japan
Taku Tamura Japan
Georgi L. Lukov United States
Kelly T. Hughes United States
Ludwig Englmeier Germany
Young-Lan Song South Korea
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Manjari Mazumdar relative to Samantha G. Zeitlin United States Samantha G. Zeitlin's profile →
Citations per field
00.5×10×13.8×
Samantha G. Zeitlin · 1×
Citations per year

Countries citing papers authored by Manjari Mazumdar

Since Specialization
Citations

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

Fields of papers citing papers by Manjari Mazumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Manjari Mazumdar, 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 Manjari Mazumdar Line = papers co-authored together Manjari Mazumdar links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Mulberry genotypes suitable for northern West Bengal
20111
2 201123
3 200646
4 200588
5 2004162
6 2002131
7 2001123
8 199814
9 199399
10 199222

About Manjari Mazumdar

Manjari Mazumdar is a scholar working on Cell Biology, Hepatology, Molecular Biology, Genetics and Insect Science, having authored 10 papers that have together received 709 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (2 papers), Nuclear Structure and Function (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Agricultural pest management studies (1 paper), DNA Repair Mechanisms (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (416 citations), Hepatology (110 citations), Molecular Biology (454 citations), Infectious Diseases (84 citations) and Aging (7 citations). Manjari Mazumdar has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Tom Misteli, A. Mazumdar, Bryce M. Paschal, Richard B. Vallee, Atsushi Mikami, Dinesh Gupta, Hasan Körkaya, Mohammad Zafrullah, Deepak Sehgal and Ravinder Kumar. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Current Biology, Trends in Cell Biology and BioEssays.

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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