Sushmita Chanda

1.9k citations
48 papers · 1.1k · h-index 15

Impact in

Papers in

    • Hepatitis B Virus Studies 13
    • Liver Disease Diagnosis and Treatment 9
    • Respiratory viral infections research 9
    • Hepatitis C virus research 16

Sushmita Chanda

41 papers receiving 1.1k citations

Peers

Sushmita Chanda
Comparison fields: 5 of 93
  • Health, Toxicology and Mutagenesis 301
  • Plant Science 460
  • Pollution 140
  • Epidemiology 403
  • Infectious Diseases 194
Replace Jiajun Han with:
Jiajun Han China
Reza J. Rasoulpour United States
John G. Lamb United States
Laïla Mselli-Lakhal France
K. Karpinski Canada
Amrita Roy India
Yazeed A. Al‐Sheikh Saudi Arabia
Sunčica Borozan Serbia
J. A. McCay United States
Yoshikawa Hiroshi Japan
Sushmita Chanda relative to Jiajun Han China Jiajun Han's profile →
Citations per field
00.5×10×16.8×
Jiajun Han · 1×
Citations per year

Countries citing papers authored by Sushmita Chanda

Since Specialization
Citations

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

Fields of papers citing papers by Sushmita Chanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015164
2 1997130
3 1996125
4 1998106
5 2015101
6 199691
7 199870
8 201669
9 202031
10 201828
11 199524
12 200219
13 200615
14 202314
15 200214
16 201814
17 201413
18 199710
19 20188
20 20228

About Sushmita Chanda

Sushmita Chanda is a scholar working on Epidemiology, Hepatology, Molecular Biology, Plant Science and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (13 papers), Liver Disease Diagnosis and Treatment (9 papers), Respiratory viral infections research (9 papers), Pesticide Exposure and Toxicity (8 papers), Environmental Toxicology and Ecotoxicology (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (301 citations), Plant Science (460 citations), Pollution (140 citations), Epidemiology (403 citations) and Infectious Diseases (194 citations). Sushmita Chanda has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Stephanie Padilla, Spencer R. Mortensen, Virginia C. Moser, Julian Symons, Lawrence M. Blatt, Qingling Zhang, Michael Hooper, Leo Beigelman, Matthew W. McClure and Patrick F. Smith. Their work appears in journals such as Journal of Hepatology, Open Forum Infectious Diseases, Antiviral Therapy, PLoS ONE and Hepatology.

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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