Lalita Uttarwar

7 papers and 336 indexed citations i.

About

Lalita Uttarwar is a scholar working on Molecular Biology, Nephrology and Cancer Research. According to data from OpenAlex, Lalita Uttarwar has authored 7 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Nephrology and 2 papers in Cancer Research. Recurrent topics in Lalita Uttarwar’s work include Chronic Kidney Disease and Diabetes (4 papers), TGF-β signaling in diseases (2 papers) and Connective Tissue Growth Factor Research (1 paper). Lalita Uttarwar is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), TGF-β signaling in diseases (2 papers) and Connective Tissue Growth Factor Research (1 paper). Lalita Uttarwar collaborates with scholars based in Canada and United States. Lalita Uttarwar's co-authors include Joan C. Krepinsky, Bo Gao, Emmanuelle Passegué, Corey Largman, Wei-Fang Shen, Yu-Long Hu, Alistair J. Ingram, Renzhong Li, Martine Charbonneau and John S.D. Chan and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Diabetologia.

In The Last Decade

Co-authorship network of co-authors of Lalita Uttarwar i

Fields of papers citing papers by Lalita Uttarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lalita Uttarwar

Since Specialization
Citations

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