Archana Proddutur

21 total papers · 415 total citations
15 papers, 273 citations indexed

About

Archana Proddutur is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Archana Proddutur has authored 15 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Archana Proddutur's work include Neuroscience and Neuropharmacology Research (10 papers), Neural dynamics and brain function (5 papers) and Cannabis and Cannabinoid Research (3 papers). Archana Proddutur is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neural dynamics and brain function (5 papers) and Cannabis and Cannabinoid Research (3 papers). Archana Proddutur collaborates with scholars based in United States and China. Archana Proddutur's co-authors include Vijayalakshmi Santhakumar, Akshay Gupta, Jiandong Yu, Takahiro Ito, Vineet C. Chitravanshi, Hreday N. Sapru, György Lür, Chia‐Wei Yeh, Mesut Şahin and Bryan J. Pfister and has published in prestigious journals such as Neuron, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Archana Proddutur

15 papers receiving 273 citations

Author Peers

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

Author						Papers	Cites
Archana Proddutur	187	105	88	47	45	15	273
Afshin Paydar	128 0.7×	88 0.8×	79 0.9×	54 1.1×	25 0.6×	14	287
Samuli Kemppainen	168 0.9×	167 1.6×	48 0.5×	39 0.8×	40 0.9×	11	321
Antonio Martínez-Simón	192 1.0×	85 0.8×	98 1.1×	52 1.1×	32 0.7×	25	330
Si Yun Shu	118 0.6×	72 0.7×	160 1.8×	28 0.6×	17 0.4×	16	329
Alessandro Contestabile	105 0.6×	131 1.2×	63 0.7×	32 0.7×	73 1.6×	18	308
Asako Kosuga	135 0.7×	52 0.5×	105 1.2×	16 0.3×	20 0.4×	13	311
Erika Abrial	133 0.7×	37 0.4×	81 0.9×	24 0.5×	34 0.8×	14	279
Tong Yu	85 0.5×	32 0.3×	80 0.9×	26 0.6×	77 1.7×	16	307
Adam Caccavano	142 0.8×	79 0.8×	54 0.6×	27 0.6×	35 0.8×	16	258
Mariá José Lagartos-Donate	78 0.4×	82 0.8×	58 0.7×	15 0.3×	34 0.8×	15	222

Countries citing papers authored by Archana Proddutur

Since Specialization

Citations

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

Fields of papers citing papers by Archana Proddutur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Proddutur

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