Kalyani Pyaram

45 total papers · 700 total citations
22 papers, 474 citations indexed

About

Kalyani Pyaram is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Kalyani Pyaram has authored 22 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 7 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Kalyani Pyaram's work include Immune Cell Function and Interaction (10 papers), IL-33, ST2, and ILC Pathways (6 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Kalyani Pyaram is often cited by papers focused on Immune Cell Function and Interaction (10 papers), IL-33, ST2, and ILC Pathways (6 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Kalyani Pyaram collaborates with scholars based in United States, India and Ghana. Kalyani Pyaram's co-authors include Cheong‐Hee Chang, Arvind Sahu, Viveka Nand Yadav, Jayati Mullick, Yeung‐Hyen Kim, Kavita B. Hosur, Jieun Shin, Triantafyllos Chavakis, George Hajishengallis and Jyoti Misra Sen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Kalyani Pyaram

22 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
Kalyani Pyaram	293	140	82	59	46	22	474
Nancy Mora	243 0.8×	151 1.1×	41 0.5×	43 0.7×	37 0.8×	17	498
J L Hudson	138 0.5×	160 1.1×	30 0.4×	53 0.9×	79 1.7×	22	475
Robert Vaughan	184 0.6×	159 1.1×	49 0.6×	10 0.2×	28 0.6×	20	535
Milan Popović	199 0.7×	100 0.7×	76 0.9×	27 0.5×	44 1.0×	21	425
P. A. Dougherty	190 0.6×	69 0.5×	27 0.3×	34 0.6×	92 2.0×	18	430
Yanyan Hu	168 0.6×	110 0.8×	83 1.0×	20 0.3×	56 1.2×	25	428
Zhansheng Jia	122 0.4×	227 1.6×	110 1.3×	47 0.8×	25 0.5×	28	438
Shweta Aggarwal	226 0.8×	87 0.6×	90 1.1×	23 0.4×	43 0.9×	24	478
Hristo Taskov	106 0.4×	177 1.3×	89 1.1×	30 0.5×	39 0.8×	27	414
Lina Wang	167 0.6×	167 1.2×	38 0.5×	64 1.1×	159 3.5×	36	463

Countries citing papers authored by Kalyani Pyaram

Since Specialization

Citations

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

Fields of papers citing papers by Kalyani Pyaram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalyani Pyaram

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