Reena Bakshi

400 citations
6 papers · 325 · h-index 4

Impact in

    • Alzheimer's disease research and treatments
    • Supramolecular Self-Assembly in Materials

Papers in

    • Supramolecular Self-Assembly in Materials 3
    • Amyloidosis: Diagnosis, Treatment, Outcomes 1
    • Bone Metabolism and Diseases 1

Reena Bakshi

6 papers receiving 323 citations

Peers

Reena Bakshi
Comparison fields: 5 of 63
  • Physiology 140
  • Biomaterials 74
  • Pharmacology 40
  • Rehabilitation 15
  • Spectroscopy 39
Replace Surajit Barman with:
Surajit Barman India
Krishnangsu Pradhan India
Huaijiang Xiang China
Pei‐Teh Chang Taiwan
Sonia Ciudad Spain
Minkoo Ahn United Kingdom
Chendi Zhan China
Zenghui Lao China
Patrick J. Salveson United States
Benedikt Weber Germany
Reena Bakshi relative to Surajit Barman India Surajit Barman's profile →
Citations per field
00.5×
Surajit Barman · 1×
Citations per year

Countries citing papers authored by Reena Bakshi

Since Specialization
Citations

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

Fields of papers citing papers by Reena Bakshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Reena Bakshi, 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 Reena Bakshi Line = papers co-authored together Reena Bakshi links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2011248
2 201949
3 202015
4 201910
5 20182
6 20251

About Reena Bakshi

Reena Bakshi is a scholar working on Biomaterials, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 6 papers that have together received 325 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Alzheimer's disease research and treatments (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Bone Tissue Engineering Materials (1 paper), Tumors and Oncological Cases (1 paper), Bone Metabolism and Diseases (1 paper) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Physiology (140 citations), Biomaterials (74 citations), Pharmacology (40 citations), Rehabilitation (15 citations) and Spectroscopy (39 citations). Reena Bakshi has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Aleksey Lomakin, Annette Tennstaedt, Eric Pang, Thomas Schräder, Frank‐Gerrit Klärner, Sharmistha Sinha, Joseph A. Loo, Zhenming Du, Pei-Yi Kuo and Michael Ehrmann. Their work appears in journals such as Plastic & Reconstructive Surgery, Burns, Journal of the American Chemical Society, Regenerative Engineering and Translational Medicine and BMJ Case Reports.

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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