Swati Dahariya

823 total citations · 1 hit paper
15 papers, 649 citations indexed

About

Swati Dahariya is a scholar working on Hematology, Surgery and Cancer Research. According to data from OpenAlex, Swati Dahariya has authored 15 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Surgery and 4 papers in Cancer Research. Recurrent topics in Swati Dahariya's work include Platelet Disorders and Treatments (5 papers), Cancer-related molecular mechanisms research (4 papers) and Nanoparticles: synthesis and applications (4 papers). Swati Dahariya is often cited by papers focused on Platelet Disorders and Treatments (5 papers), Cancer-related molecular mechanisms research (4 papers) and Nanoparticles: synthesis and applications (4 papers). Swati Dahariya collaborates with scholars based in India. Swati Dahariya's co-authors include Ravi Kumar Gutti, Sanjeev Raghuwanshi, Indira Paddibhatla, Santosh Kumar, Aditya Velidandi, Ninian Prem Prashanth Pabbathi, Rama Raju Baadhe, Sreenivasa Rao Parcha, K. Divakar and Itishri Sahu and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Cellular Physiology and International Journal of Biological Macromolecules.

In The Last Decade

Swati Dahariya

15 papers receiving 642 citations

Hit Papers

Long non-coding RNA: Classification, biogenesis and funct... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Long non-coding RNA: Classification, biogenesis and functions in blood cells
    2019 332 citations Swati Dahariya, Indira Paddibhatla et al. Molecular Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Swati Dahariya India 10 333 307 129 79 65 15 649
Monireh Golpour Iran 17 312 0.9× 152 0.5× 35 0.3× 87 1.1× 74 1.1× 50 744
Zhixin Ling China 17 339 1.0× 246 0.8× 59 0.5× 103 1.3× 105 1.6× 31 747
Saeid Kaviani Iran 14 309 0.9× 130 0.4× 46 0.4× 83 1.1× 97 1.5× 69 619
Xuan Zhou China 16 254 0.8× 159 0.5× 36 0.3× 65 0.8× 27 0.4× 52 570
Honglei Chen China 12 521 1.6× 297 1.0× 41 0.3× 46 0.6× 85 1.3× 26 872
Trung T. Nguyen United States 10 189 0.6× 126 0.4× 41 0.3× 109 1.4× 180 2.8× 17 989
Anowar Hussain India 11 337 1.0× 239 0.8× 58 0.4× 85 1.1× 135 2.1× 18 658
Tao Luo China 13 324 1.0× 110 0.4× 149 1.2× 75 0.9× 18 0.3× 41 603
Zhihe Liu China 16 255 0.8× 123 0.4× 26 0.2× 49 0.6× 122 1.9× 28 618
Wanggang Zhang China 11 323 1.0× 210 0.7× 22 0.2× 79 1.0× 63 1.0× 20 520

Countries citing papers authored by Swati Dahariya

Since Specialization
Citations

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

Fields of papers citing papers by Swati Dahariya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Dahariya

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Dahariya. A scholar is included among the top collaborators of Swati Dahariya 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 Swati Dahariya. Swati Dahariya 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.
Dahariya, Swati, et al.. (2022). Role of Long Non-Coding RNAs in Human-Induced Pluripotent Stem Cells Derived Megakaryocytes: A p53, HOX Antisense Intergenic RNA Myeloid 1, and miR-125b Interaction Study. Journal of Pharmacology and Experimental Therapeutics. 384(1). 92–101. 2 indexed citations
2.
3.
Velidandi, Aditya, et al.. (2021). Bio-fabrication of silver-silver chloride nanoparticles using Annona muricata leaf extract: characterization, biological, dye degradation and eco-toxicity studies. International Journal of Environmental Science and Technology. 19(7). 6555–6572. 23 indexed citations
4.
Raghuwanshi, Sanjeev, et al.. (2021). Co-stimulatory effect of TLR2 and TLR4 stimulation on megakaryocytic development is mediated through PI3K/NF-ĸB and XBP-1 loop. Cellular Signalling. 80. 109924–109924. 7 indexed citations
5.
Velidandi, Aditya, et al.. (2021). Assessment of properties, applications and limitations of scaffolds based on cellulose and its derivatives for cartilage tissue engineering: A review. International Journal of Biological Macromolecules. 175. 495–515. 71 indexed citations
6.
Paddibhatla, Indira, et al.. (2021). Endocannabinoid system: Role in blood cell development, neuroimmune interactions and associated disorders. Journal of Neuroimmunology. 353. 577501–577501. 8 indexed citations
7.
Velidandi, Aditya, Ninian Prem Prashanth Pabbathi, Swati Dahariya, & Rama Raju Baadhe. (2021). Green synthesis of novel Ag–Cu and Ag–Znbimetallic nanoparticles and their in vitro biological, eco-toxicity and catalytic studies. Nano-Structures & Nano-Objects. 26. 100687–100687. 47 indexed citations
8.
Raghuwanshi, Sanjeev, et al.. (2020). Virodhamine, an endocannabinoid, induces megakaryocyte differentiation by regulating MAPK activity and function of mitochondria. Journal of Cellular Physiology. 236(2). 1445–1453. 9 indexed citations
9.
Velidandi, Aditya, Ninian Prem Prashanth Pabbathi, Swati Dahariya, & Rama Raju Baadhe. (2020). Catalytic and eco-toxicity investigations of bio-fabricated monometallic nanoparticles along with their anti-bacterial, anti-inflammatory, anti-diabetic, anti-oxidative and anti-cancer potentials. Colloids and Interface Science Communications. 38. 100302–100302. 31 indexed citations
10.
Raghuwanshi, Sanjeev, et al.. (2020). RUNX1 and TGF‐β signaling cross talk regulates Ca2+ ion channels expression and activity during megakaryocyte development. FEBS Journal. 287(24). 5411–5438. 20 indexed citations
11.
Velidandi, Aditya, Swati Dahariya, Ninian Prem Prashanth Pabbathi, K. Divakar, & Rama Raju Baadhe. (2020). A Review on Synthesis, Applications, Toxicity, Risk Assessment and Limitations of Plant Extracts Synthesized Silver Nanoparticles. NanoWorld Journal. 6(3). 50 indexed citations
12.
13.
Dahariya, Swati, et al.. (2019). Long non-coding RNA: Classification, biogenesis and functions in blood cells. Molecular Immunology. 112. 82–92. 332 indexed citations breakdown →
14.
Raghuwanshi, Sanjeev, Swati Dahariya, Usha Gutti, et al.. (2018). MicroRNA function in megakaryocytes. Platelets. 30(7). 809–816. 15 indexed citations
15.
Raghuwanshi, Sanjeev, Swati Dahariya, Ravinder Kandi, et al.. (2017). Epigenetic Mechanisms: Role in Hematopoietic Stem Cell Lineage Commitment and Differentiation. Current Drug Targets. 19(14). 1683–1695. 15 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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