Chandra Viswanathan

1.5k citations
42 papers · 1.1k · h-index 16

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Iron Metabolism and Disorders

Papers in

    • Mesenchymal stem cell research 19
    • Hemoglobinopathies and Related Disorders 3
    • Pluripotent Stem Cells Research 11
    • CRISPR and Genetic Engineering 4

Chandra Viswanathan

41 papers receiving 1.1k citations

Peers

Chandra Viswanathan
Comparison fields: 5 of 103
  • Genetics 580
  • Hematology 159
  • Developmental Neuroscience 50
  • Rehabilitation 79
  • Biomaterials 143
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Citations per field
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Citations per year

Countries citing papers authored by Chandra Viswanathan

Since Specialization
Citations

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

Fields of papers citing papers by Chandra Viswanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Chandra Viswanathan, 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 Chandra Viswanathan Line = papers co-authored together Chandra Viswanathan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014204
2 2010171
3 1992134
4 201575
5 201472
6 201070
7
Potential of Mesenchymal Stem Cell based application in Cancer.
201564
8 200938
9 201335
10 201134
11 200832
12 201016
13 201616
14 201015
15 201015
16
Tansplantation of autologous bone marrow derived mesenchymal stem cells trans-epicardially in patients undergoing coronary bypass surgery.
201115
17 201213
18 201411
19 201211
20 201211

About Chandra Viswanathan

Chandra Viswanathan is a scholar working on Genetics, Molecular Biology, Surgery, Biomaterials and Hematology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (19 papers), Tissue Engineering and Regenerative Medicine (11 papers), Pluripotent Stem Cells Research (11 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Pancreatic function and diabetes (4 papers), CRISPR and Genetic Engineering (4 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Genetics (580 citations), Hematology (159 citations), Developmental Neuroscience (50 citations), Rehabilitation (79 citations) and Biomaterials (143 citations). Chandra Viswanathan has collaborated with scholars based in India and United States. Frequent co-authors include Anish Sen Majumdar, Deepa Ghosh, M B Agarwal, R.R. Puniyani, J. Ramanathan, Anup Kumar Das, Ajay Kumar, Ashish Mehta, Balaji Bandyopadhyay and Archana Mukherjee. Their work appears in journals such as Cell Biology International, British Journal of Haematology, In Vitro Cellular & Developmental Biology - Animal, Stem Cell Research and Stem Cells and Development.

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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