Rahul Sanwlani

19 total papers · 1.5k total citations
10 papers, 876 citations indexed

About

Rahul Sanwlani is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Rahul Sanwlani has authored 10 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Rahul Sanwlani's work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (5 papers) and RNA Interference and Gene Delivery (2 papers). Rahul Sanwlani is often cited by papers focused on Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (5 papers) and RNA Interference and Gene Delivery (2 papers). Rahul Sanwlani collaborates with scholars based in Australia, United Kingdom and Belgium. Rahul Sanwlani's co-authors include Suresh Mathivanan, Sai V. Chitti, Pamali Fonseka, Taeyoung Kang, Mohashin Pathan, An Hendrix, Jan Van Deun, Lahiru Gangoda, Christina Nedeva and Sarah E. Stewart and has published in prestigious journals such as Nucleic Acids Research, PROTEOMICS and Cells.

In The Last Decade

Rahul Sanwlani

8 papers receiving 870 citations

Hit Papers

Vesiclepedia 2019: a comp... 2018 2026 2020 2023 2018 2023 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Rahul Sanwlani 792 455 128 80 55 10 876
Amr Alaarg 812 1.0× 439 1.0× 174 1.4× 129 1.6× 71 1.3× 12 1.1k
Jarred J. Bultema 880 1.1× 450 1.0× 110 0.9× 136 1.7× 30 0.5× 8 1.0k
Joanne L. Welton 862 1.1× 455 1.0× 139 1.1× 102 1.3× 97 1.8× 7 1.0k
Youngeun Kim 654 0.8× 256 0.6× 114 0.9× 64 0.8× 55 1.0× 9 924
Roberta Palmulli 828 1.0× 393 0.9× 133 1.0× 110 1.4× 38 0.7× 13 967
Evgeniy A. Lekchnov 991 1.3× 615 1.4× 84 0.7× 134 1.7× 65 1.2× 10 1.1k
Jiayi Huang 842 1.1× 453 1.0× 103 0.8× 96 1.2× 57 1.0× 7 983
Sarah Caruso 744 0.9× 292 0.6× 283 2.2× 86 1.1× 31 0.6× 13 893
Anne-lie Ståhl 468 0.6× 175 0.4× 167 1.3× 45 0.6× 58 1.1× 8 743
Yaying Hao 646 0.8× 396 0.9× 112 0.9× 127 1.6× 37 0.7× 10 783

Countries citing papers authored by Rahul Sanwlani

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Sanwlani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Sanwlani

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Sanwlani. A scholar is included among the top collaborators of Rahul Sanwlani 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 Rahul Sanwlani. Rahul Sanwlani 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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