Neena Kanwar

41 total papers · 625 total citations
21 papers, 416 citations indexed

About

Neena Kanwar is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Neena Kanwar has authored 21 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Infectious Diseases and 4 papers in Molecular Medicine. Recurrent topics in Neena Kanwar's work include Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Influenza Virus Research Studies (4 papers). Neena Kanwar is often cited by papers focused on Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Influenza Virus Research Studies (4 papers). Neena Kanwar collaborates with scholars based in United States, India and Canada. Neena Kanwar's co-authors include Rangaraj Selvarangan, Ferdaus Hassan, Dithi Banerjee, Jennifer L. Cottell, H.M. Scott, Guy H. Loneragan, Bo Norby, Jianfa Bai, Soumendu Chakravarti and Patrick Boerlin and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Neena Kanwar

20 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Neena Kanwar	244	136	82	80	75	21	416
Busen Wang	250 1.0×	91 0.7×	62 0.8×	37 0.5×	44 0.6×	18	408
R.S. Schrijver	157 0.6×	203 1.5×	35 0.4×	80 1.0×	45 0.6×	17	452
Andrea Laconi	206 0.8×	69 0.5×	33 0.4×	185 2.3×	62 0.8×	38	423
P. Pesente	130 0.5×	106 0.8×	48 0.6×	156 1.9×	54 0.7×	18	406
Wojciech Kozdruń	136 0.6×	125 0.9×	100 1.2×	166 2.1×	38 0.5×	42	372
Maude Pauly	232 1.0×	83 0.6×	62 0.8×	50 0.6×	21 0.3×	25	409
Mostafa Y. Abdel‐Glil	155 0.6×	92 0.7×	21 0.3×	40 0.5×	61 0.8×	42	417
Meifang Tan	134 0.5×	62 0.5×	56 0.7×	74 0.9×	41 0.5×	25	386
Masanori Hashino	168 0.7×	80 0.6×	24 0.3×	33 0.4×	55 0.7×	24	449
Julia Keenliside	143 0.6×	213 1.6×	19 0.2×	82 1.0×	23 0.3×	19	458

Countries citing papers authored by Neena Kanwar

Since Specialization

Citations

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

Fields of papers citing papers by Neena Kanwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neena Kanwar

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