Sukhanya Jayachandra

9 total papers · 583 total citations
6 papers, 401 citations indexed

About

Sukhanya Jayachandra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Sukhanya Jayachandra has authored 6 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Sukhanya Jayachandra's work include Herpesvirus Infections and Treatments (2 papers), Neuropeptides and Animal Physiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). Sukhanya Jayachandra is often cited by papers focused on Herpesvirus Infections and Treatments (2 papers), Neuropeptides and Animal Physiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). Sukhanya Jayachandra collaborates with scholars based in United States, Germany and United Kingdom. Sukhanya Jayachandra's co-authors include Yuan Chang, Shou‐Jiang Gao, Chris Boshoff, Robin A. Weiss, Patrick S. Moore, Lauren E. Barber, Wu Yang, Umesh Hanumegowda, Stephen P Adams and Konstantin G. Kousoulas and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and BioTechniques.

In The Last Decade

Sukhanya Jayachandra

6 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
Sukhanya Jayachandra	271	168	87	83	81	6	401
Stacy Moore	203 0.7×	118 0.7×	52 0.6×	96 1.2×	110 1.4×	9	369
Eva Westphal	263 1.0×	94 0.6×	42 0.5×	79 1.0×	152 1.9×	10	391
Chuang-Jiun Chiou	186 0.7×	250 1.5×	33 0.4×	38 0.5×	87 1.1×	9	369
Richard J. Vart	243 0.9×	153 0.9×	58 0.7×	58 0.7×	94 1.2×	9	388
Emmanuelle Devemy	65 0.2×	49 0.3×	34 0.4×	113 1.4×	166 2.0×	10	376
Kerstin Ackermann	84 0.3×	73 0.4×	18 0.2×	31 0.4×	114 1.4×	6	384
B. Aika Shoo	210 0.8×	54 0.3×	39 0.4×	16 0.2×	99 1.2×	10	422
Maged I. Gharib	102 0.4×	57 0.3×	78 0.9×	59 0.7×	61 0.8×	10	382
Zhao Yang Lu	158 0.6×	41 0.2×	29 0.3×	29 0.3×	79 1.0×	8	350
Charles Chau	227 0.8×	147 0.9×	40 0.5×	50 0.6×	146 1.8×	6	371

Countries citing papers authored by Sukhanya Jayachandra

Since Specialization

Citations

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

Fields of papers citing papers by Sukhanya Jayachandra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukhanya Jayachandra

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