Basabi Maitra

875 citations
5 papers · 751 · h-index 5

Impact in

  • Genetics top 1%
    • Mesenchymal stem cell research
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Mesenchymal stem cell research 4
    • Virus-based gene therapy research 1
    • Hedgehog Signaling Pathway Studies 1
    • RNA Interference and Gene Delivery 1

Basabi Maitra

5 papers receiving 728 citations

Peers

Basabi Maitra
Comparison fields: 5 of 58
  • Genetics 581
  • Hematology 121
  • Developmental Neuroscience 30
  • Rehabilitation 45
  • Immunology 112
Replace Aisha Nasef with:
Aisha Nasef France
Emese Szekely United States
Roxana Bistrian Germany
Geert Westerhuis Netherlands
S. Becchetti Italy
Laurence Lejeune Canada
Akiko Meguro Japan
Shengguo You China
Alexandra Briquet Belgium
Hiroko Miyatake Japan
Basabi Maitra relative to Aisha Nasef France Aisha Nasef's profile →
Citations per field
00.5×1.6×
Aisha Nasef · 1×
Citations per year

Countries citing papers authored by Basabi Maitra

Since Specialization
Citations

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

Fields of papers citing papers by Basabi Maitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Basabi Maitra, 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 Basabi Maitra Line = papers co-authored together Basabi Maitra links everyone, so they are left out of the graph.

All Works

About Basabi Maitra

Basabi Maitra is a scholar working on Genetics, Molecular Biology, Hematology, Pathology and Forensic Medicine and Oncology, having authored 5 papers that have together received 751 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer Cells and Metastasis (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Diabetic Foot Ulcer Assessment and Management (1 paper), Skin and Cellular Biology Research (1 paper), Virus-based gene therapy research (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (581 citations), Hematology (121 citations), Developmental Neuroscience (30 citations), Rehabilitation (45 citations) and Immunology (112 citations). Basabi Maitra has collaborated with scholars based in United States. Frequent co-authors include Omer N. Koç, Emese Szekely, James E. Dennis, Stephen E. Haynesworth, Neil J. Korman, Stanton L. Gerson, Keunmyoung Lee, Robert M. Fox, Kylie M. Drake and Sarah M. Planchon. Their work appears in journals such as Experimental Hematology, Bone Marrow Transplantation, Journal of Investigative Dermatology, Multiple Sclerosis Journal - Experimental Translational and Clinical and Journal of Hematotherapy & Stem Cell Research.

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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