Neha Vyas

593 total citations
15 papers, 452 citations indexed

About

Neha Vyas is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Neha Vyas has authored 15 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Neha Vyas's work include Hedgehog Signaling Pathway Studies (5 papers), Extracellular vesicles in disease (4 papers) and RNA Interference and Gene Delivery (4 papers). Neha Vyas is often cited by papers focused on Hedgehog Signaling Pathway Studies (5 papers), Extracellular vesicles in disease (4 papers) and RNA Interference and Gene Delivery (4 papers). Neha Vyas collaborates with scholars based in India, Australia and France. Neha Vyas's co-authors include Jyotsna Dhawan, Satyajit Mayor, Ramanathan Sowdhamini, Vairavan Lakshmanan, Pranav Sharma, H. A. Ranganath, Dasaradhi Palakodeti, K VijayRaghavan, L. S. Shashidhara and Debanjan Goswami and has published in prestigious journals such as Cell, Blood and Scientific Reports.

In The Last Decade

Neha Vyas

11 papers receiving 445 citations

Peers

Neha Vyas
Linda M. Ritter United States
Patrick A. Ozark United States
Dawei Huo China
Scott Chartrand United States
Neha Vyas
Citations per year, relative to Neha Vyas Neha Vyas (= 1×) peers Luis C. Fernández

Countries citing papers authored by Neha Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Neha Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Vyas. A scholar is included among the top collaborators of Neha Vyas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neha Vyas. Neha Vyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Kamat, Siddhesh S., et al.. (2025). The patterning and proliferation roles of Shh are partitioned on distinct exosomes. Developmental Biology. 528. 239–254.
3.
Krishnamurthy, Hanumanthappa, et al.. (2022). Molecular markers for early stratification of disease severity and progression in COVID-19. Biology Methods and Protocols. 7(1). bpac028–bpac028.
4.
Damodar, Sharat, et al.. (2021). Exovesicular-Shh confers Imatinib resistance by upregulating Bcl2 expression in chronic myeloid leukemia with variant chromosomes. Cell Death and Disease. 12(3). 259–259. 9 indexed citations
5.
Ganesan, Saravanan, Vikram Mathews, & Neha Vyas. (2021). Microenvironment and drug resistance in acute myeloid leukemia: Do we know enough?. International Journal of Cancer. 150(9). 1401–1411. 20 indexed citations
6.
Gala, Hardik, et al.. (2020). The primary cilium dampens proliferative signaling and represses a G2/M transcriptional network in quiescent myoblasts. BMC Molecular and Cell Biology. 21(1). 25–25. 19 indexed citations
7.
Ganesan, Saravanan, Vairavan Lakshmanan, Nithya Balasundaram, et al.. (2019). Stromal cells downregulate miR-23a-5p to activate protective autophagy in acute myeloid leukemia. Cell Death and Disease. 10(10). 736–736. 39 indexed citations
8.
Ganesan, Saravanan, Vairavan Lakshmanan, Nithya Balasundaram, et al.. (2017). Stromal-Cells Downregulate MiR-23a-5p Levels in Myeloid Leukemic Cells to Activate Protective-Autophagy Against Chemotherapeutic Agents. Blood. 130. 3780–3780. 1 indexed citations
9.
Vyas, Neha, et al.. (2017). Wnt and Hedgehog: Secretion of Lipid-Modified Morphogens. Trends in Cell Biology. 28(2). 157–170. 52 indexed citations
10.
Vyas, Neha & Jyotsna Dhawan. (2016). Exosomes: mobile platforms for targeted and synergistic signaling across cell boundaries. Cellular and Molecular Life Sciences. 74(9). 1567–1576. 58 indexed citations
11.
Vyas, Neha, et al.. (2016). Oligomerization and Endocytosis of Hedgehog is Necessary for its Efficient Exovesicular Secretion. Biophysical Journal. 110(3). 595a–595a. 1 indexed citations
12.
Ganesan, Saravanan, Vairavan Lakshmanan, Nithya Balasundaram, et al.. (2016). Role of miRNA in Micro-Environment Mediated Drug Resistance in Acute Promyelocytic Leukemia to Arsenic Trioxide. Blood. 128(22). 5125–5125. 1 indexed citations
13.
Vyas, Neha, et al.. (2015). Oligomerization and endocytosis of Hedgehog is necessary for its efficient exovesicular secretion. Molecular Biology of the Cell. 26(25). 4700–4717. 35 indexed citations
14.
Vyas, Neha, Vairavan Lakshmanan, Dhiru Bansal, et al.. (2014). Vertebrate Hedgehog is secreted on two types of extracellular vesicles with different signaling properties. Scientific Reports. 4(1). 7357–7357. 95 indexed citations
15.
Vyas, Neha, Debanjan Goswami, Pranav Sharma, et al.. (2008). Nanoscale Organization of Hedgehog Is Essential for Long-Range Signaling. Cell. 133(7). 1214–1227. 122 indexed citations

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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