Swathi Banthiya

8 total papers · 757 total citations
5 papers, 607 citations indexed

About

Swathi Banthiya is a scholar working on Molecular Biology, Pharmacology and Pollution. According to data from OpenAlex, Swathi Banthiya has authored 5 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Pollution. Recurrent topics in Swathi Banthiya's work include Lipid Membrane Structure and Behavior (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Swathi Banthiya is often cited by papers focused on Lipid Membrane Structure and Behavior (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Swathi Banthiya collaborates with scholars based in Germany, Sweden and United States. Swathi Banthiya's co-authors include Hartmut Kühn, Klaus van Leyen, Etienne Galemou Yoga, Patrick Scheerer, Mats Hámberg, Jacqueline Kalms, Dagmar Heydeck, Igor Ivanov, X. Carpena and Maceler Aldrovandi and has published in prestigious journals such as Archives of Biochemistry and Biophysics and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

In The Last Decade

Swathi Banthiya

5 papers receiving 605 citations

Hit Papers

Mammalian lipoxygenases a... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Swathi Banthiya 302 157 142 136 86 5 607
Luxiao Li 290 1.0× 122 0.8× 120 0.8× 50 0.4× 30 0.3× 10 657
Joo Yeun Oh 272 0.9× 46 0.3× 53 0.4× 69 0.5× 58 0.7× 7 509
Roberta M. Danilowicz 191 0.6× 87 0.6× 59 0.4× 97 0.7× 128 1.5× 10 501
Yonghong Bai 393 1.3× 164 1.0× 44 0.3× 91 0.7× 36 0.4× 8 576
Cassandra L. Henry 283 0.9× 71 0.5× 53 0.4× 30 0.2× 114 1.3× 13 651
Nobuyoshi Chiba 355 1.2× 69 0.4× 78 0.5× 74 0.5× 43 0.5× 13 686
Steven R. Tannenbaum 274 0.9× 40 0.3× 142 1.0× 121 0.9× 36 0.4× 9 679
Akiko Amagata 357 1.2× 108 0.7× 88 0.6× 45 0.3× 139 1.6× 10 575
Molly M. Gilligan 215 0.7× 55 0.4× 75 0.5× 175 1.3× 67 0.8× 11 696
K Miyamoto 227 0.8× 169 1.1× 160 1.1× 23 0.2× 25 0.3× 12 640

Countries citing papers authored by Swathi Banthiya

Since Specialization
Citations

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

Fields of papers citing papers by Swathi Banthiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swathi Banthiya

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