Swati Dahariya

19 total papers · 816 total citations
15 papers, 644 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 644 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 Sanjeev Raghuwanshi, Ravi Kumar Gutti, Indira Paddibhatla, Santosh Kumar, Ninian Prem Prashanth Pabbathi, Aditya Velidandi, 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 638 citations

Hit Papers

Long non-coding RNA: Clas... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Swati Dahariya 331 305 127 77 65 15 644
Junwen Shi 246 0.7× 189 0.6× 244 1.9× 61 0.8× 44 0.7× 16 667
Shengbo Li 274 0.8× 154 0.5× 75 0.6× 67 0.9× 49 0.8× 23 709
Sourabh Soni 244 0.7× 162 0.5× 74 0.6× 84 1.1× 175 2.7× 23 748
Alireza Abhari 438 1.3× 231 0.8× 43 0.3× 91 1.2× 72 1.1× 25 731
Yanyan Tian 429 1.3× 304 1.0× 50 0.4× 86 1.1× 52 0.8× 23 636
Eleana Hatzidaki 202 0.6× 117 0.4× 56 0.4× 67 0.9× 40 0.6× 21 571
Hong Zhao 391 1.2× 135 0.4× 42 0.3× 92 1.2× 62 1.0× 29 713
Sameera Nallanthighal 286 0.9× 161 0.5× 79 0.6× 93 1.2× 56 0.9× 13 693
Edna Mora 359 1.1× 127 0.4× 59 0.5× 103 1.3× 128 2.0× 24 784
Junyu Xiang 371 1.1× 221 0.7× 87 0.7× 88 1.1× 34 0.5× 20 662

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

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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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