Manali Joshi

566 citations
29 papers · 353 · h-index 12

Impact in

Papers in

    • Receptor Mechanisms and Signaling 12
    • Lipid Membrane Structure and Behavior 5
    • Protein Structure and Dynamics 5
    • RNA regulation and disease 3
    • vaccines and immunoinformatics approaches 3
    • Neuropeptides and Animal Physiology 6

Manali Joshi

29 papers receiving 347 citations

Peers

Manali Joshi
Comparison fields: 5 of 75
  • Complementary and alternative medicine 37
  • Cellular and Molecular Neuroscience 61
  • Molecular Biology 221
  • Computational Theory and Mathematics 45
  • Pharmacology 21
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Fraser Cunningham United Kingdom
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Hyeongseop Jeong South Korea
Hyun‐Ok Song South Korea
Tomoko Uemura Japan
Vladimir Perović Serbia
Bashir Akhlaq Akhoon India
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Citations per field
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Citations per year

Countries citing papers authored by Manali Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Manali Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 201333
3 201625
4 201423
5 201520
6 202120
7 202119
8 201616
9 202014
10 200612
11 201211
12 201911
13 20179
14 20089
15 20178
16 20178
17 20198
18 20217
19 20216
20 20216

About Manali Joshi

Manali Joshi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Animal Science and Zoology and Computational Theory and Mathematics, having authored 29 papers that have together received 353 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (6 papers), Lipid Membrane Structure and Behavior (5 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers), RNA regulation and disease (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Complementary and alternative medicine (37 citations), Cellular and Molecular Neuroscience (61 citations), Molecular Biology (221 citations), Computational Theory and Mathematics (45 citations) and Pharmacology (21 citations). Manali Joshi has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Durba Sengupta, Abhijeet Kulkarni, Jayanta K. Pal, Amitabha Chattopadhyay, James M. Briggs, Sneha R. Sagar, Swapnil Borse, Preeti Chavan, Lal Hingorani and Girish Tillu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, The Journal of Membrane Biology, PLoS Computational Biology, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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