Ambrish Saxena

25 total papers · 656 total citations
16 papers, 548 citations indexed

About

Ambrish Saxena is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Ambrish Saxena has authored 16 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Infectious Diseases. Recurrent topics in Ambrish Saxena's work include Neuroscience and Neuropharmacology Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Ion channel regulation and function (3 papers). Ambrish Saxena is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Ion channel regulation and function (3 papers). Ambrish Saxena collaborates with scholars based in Germany, India and Kosovo. Ambrish Saxena's co-authors include Florian Läng, Ioana Alesutan, Mentor Sopjani, Miribane Dërmaku‐Sopjani, Manzar Shojaiefard, Vasudharani Devanathan, Axel Methner, Melanie Eichenmüller, Shefalee K. Bhavsar and Zohreh Hosseinzadeh and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ambrish Saxena

15 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Ambrish Saxena	329	81	75	67	65	16	548
Thomas M. Moon	432 1.3×	24 0.3×	44 0.6×	58 0.9×	82 1.3×	13	596
Joseph V. Haas	163 0.5×	25 0.3×	46 0.6×	108 1.6×	17 0.3×	20	509
Albane Kessler	294 0.9×	29 0.4×	25 0.3×	90 1.3×	106 1.6×	13	550
Wendell-Lamar B. Blackwell	175 0.5×	41 0.5×	22 0.3×	19 0.3×	21 0.3×	8	457
Wen Xu	233 0.7×	206 2.5×	24 0.3×	31 0.5×	37 0.6×	17	483
Vibha Taneja	356 1.1×	19 0.2×	17 0.2×	30 0.4×	52 0.8×	21	618
J M Grognet	212 0.6×	52 0.6×	10 0.1×	42 0.6×	40 0.6×	19	498
Hideaki Nomura	335 1.0×	78 1.0×	14 0.2×	9 0.1×	36 0.6×	25	571
Joonho Park	214 0.7×	54 0.7×	45 0.6×	23 0.3×	11 0.2×	26	503
Russell Desnoyer	322 1.0×	50 0.6×	26 0.3×	9 0.1×	32 0.5×	17	528

Countries citing papers authored by Ambrish Saxena

Since Specialization

Citations

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

Fields of papers citing papers by Ambrish Saxena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambrish Saxena

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