Jyotsna Joshi

507 citations
16 papers · 392 · h-index 10

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 3
    • Mesenchymal stem cell research 3

Jyotsna Joshi

16 papers receiving 387 citations

Peers

Jyotsna Joshi
Comparison fields: 5 of 74
  • Biomaterials 116
  • Cellular and Molecular Neuroscience 74
  • Genetics 37
  • Developmental Neuroscience 13
  • Molecular Medicine 15
Replace Alex P. Rickel with:
Alex P. Rickel United States
Yalda Rahpeymai Bogestål Sweden
Priyadharshini Sivakumaran Australia
Yuanxin Zhai China
Josh P. Cutts United States
Olga Kryukov Israel
Tingyu Ke China
Kaifeng Shao China
Su Pan China
Olalla Iglesias‐García Spain
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Citations per field
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Citations per year

Countries citing papers authored by Jyotsna Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202081
2 202075
3 201837
4 201834
5 201633
6 202029
7 201521
8 201920
9 201917
10 202415
11 20229
12 20227
13 20246
14
In vitro macrophage activation: A technique for screening anti-inflammatory, immunomodulatory and anticancer activity of phytomolecules.
20175
15 20222
16 20241

About Jyotsna Joshi

Jyotsna Joshi is a scholar working on Biomaterials, Genetics, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Surgery, having authored 16 papers that have together received 392 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Mesenchymal stem cell research (3 papers), Neuroscience and Neural Engineering (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Molecular Communication and Nanonetworks (2 papers), Photoreceptor and optogenetics research (2 papers) and Natural Antidiabetic Agents Studies (1 paper). The work is most often cited by research in Biomaterials (116 citations), Cellular and Molecular Neuroscience (74 citations), Genetics (37 citations), Developmental Neuroscience (13 citations) and Molecular Medicine (15 citations). Jyotsna Joshi has collaborated with scholars based in United States, China and France. Frequent co-authors include Chandrasekhar R. Kothapalli, Wuqiang Zhu, Michael Rubart, Chengming Fan, Gautam Mahajan, Kurt W. Farrell, Bing Xu, Mahmood Khan, Fan Li and Vince Z. Beachley. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Journal of Biomedical Materials Research Part A, Current Pharmaceutical Design, Biology and Frontiers in Cell and Developmental Biology.

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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