Lalitha Tenneti

1.7k citations
10 papers · 1.4k indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (5 papers)Cell death mechanisms and regulation (3 papers)Adenosine and Purinergic Signaling (2 papers)

In The Last Decade

Lalitha Tenneti

10 papers receiving 1.4k citations

Peers

Lalitha Tenneti
Comparison fields: 5 of 88
  • Molecular Biology 795
  • Cellular and Molecular Neuroscience 471
  • Physiology 378
  • Neurology 151
  • Pathology and Forensic Medicine 134
Replace Cinzia Mallozzi with:
Cinzia Mallozzi Italy
VL Dawson United States
Deborah A. Berkich United States
David S. Albers United States
Masafumi Fujimoto Japan
Tracey Hand United States
María Delgado‐Esteban Spain
Tetsuya Nagayama United States
Heinrich Wiesinger Germany
Alexei P. Kudin Germany
Lalitha Tenneti relative to Cinzia Mallozzi Italy Cinzia Mallozzi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lalitha Tenneti

Since Specialization
Citations

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

Fields of papers citing papers by Lalitha Tenneti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalitha Tenneti

This figure shows the co-authorship network connecting the top 25 collaborators of Lalitha Tenneti. A scholar is included among the top collaborators of Lalitha Tenneti 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 Lalitha Tenneti. Lalitha Tenneti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 32
2 160
3 335
4 127
5 167
6 232
7 138
8 58
9 127
10 14

About Lalitha Tenneti

Lalitha Tenneti is a scholar working on Physiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Cell death mechanisms and regulation (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (471 citations), Developmental Neuroscience (92 citations) and Physiology (90 citations). Lalitha Tenneti has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Stuart A. Lipton, Samantha L. Budd, Masashi Kikuchi, Yun‐Beom Choi, Dean A. Le, Guang Bai, Carol M. Troy, Barbara R. Talamo, Simon J. Gibbons and Marcus Kaul. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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