Kumkum Saxena

13 papers and 2.1k indexed citations i.

About

Kumkum Saxena is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Kumkum Saxena has authored 13 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Epidemiology. Recurrent topics in Kumkum Saxena’s work include Sphingolipid Metabolism and Signaling (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Protein Structure and Dynamics (2 papers). Kumkum Saxena is often cited by papers focused on Sphingolipid Metabolism and Signaling (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Protein Structure and Dynamics (2 papers). Kumkum Saxena collaborates with scholars based in United States and Germany. Kumkum Saxena's co-authors include Eva J. Neer, Temple F. Smith, Chrysanthe Gaitatzes, Lora Swenson, Judith A. Lippke, Fan Lu, James Griffith, Carlos H. Faerman, Marc Jacobs and Michael J. Eck and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Kumkum Saxena i

Fields of papers citing papers by Kumkum Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kumkum Saxena

Since Specialization
Citations

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

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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