Subhamoy Das

944 citations
23 papers · 692 · h-index 14

Impact in

    • Wound Healing and Treatments
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • Mitochondrial Function and Pathology 3
    • Nuclear Structure and Function 1
    • Glioma Diagnosis and Treatment 2

Subhamoy Das

23 papers receiving 678 citations

Peers

Subhamoy Das
Comparison fields: 5 of 104
  • Rehabilitation 278
  • Biomaterials 205
  • Occupational Therapy 24
  • Urology 24
  • Genetics 42
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Ying Shao China
Dominic Henn United States
Elizabeth Kiwanuka United States
Ben‐Shian Huang Taiwan
Xiaorong Zhang China
Guozhong Lv China
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Marcus S Speyrer United States
Shutong Qian China
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Citations per field
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Citations per year

Countries citing papers authored by Subhamoy Das

Since Specialization
Citations

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

Fields of papers citing papers by Subhamoy Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016257
2 201559
3 201655
4 201636
5 201636
6 201333
7 201627
8 201025
9
Hemimegalencephaly--morphological and immunocytochemical study.
199725
10 198923
11 200921
12 202419
13 199814
14 201713
15 202013
16 199013
17 20189
18 20215
19 20214
20
Metabolic Disorders Presenting as Vacuolar Myopathy
19992

About Subhamoy Das

Subhamoy Das is a scholar working on Molecular Biology, Genetics, Surgery, Rehabilitation and Cell Biology, having authored 23 papers that have together received 692 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Wound Healing and Treatments (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Glioma Diagnosis and Treatment (2 papers) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Rehabilitation (278 citations), Biomaterials (205 citations), Occupational Therapy (24 citations), Urology (24 citations) and Genetics (42 citations). Subhamoy Das has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Aaron B. Baker, Marjan Majid, Gunjan Singh, Chengyi Tu, Laura J. Suggs, Andrew K. Dunn, B. S. Das, Somshuvra Mukhopadhyay, Catherine Wright and Patricia E. Martin. Their work appears in journals such as Biomaterials, Advanced Healthcare Materials, Chemical Communications, Acta Neurochirurgica and eNeuro.

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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