Nandita S. Raikwar

44 total papers · 754 total citations
27 papers, 616 citations indexed

About

Nandita S. Raikwar is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Nandita S. Raikwar has authored 27 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Nandita S. Raikwar's work include Angiogenesis and VEGF in Cancer (5 papers), Trypanosoma species research and implications (4 papers) and Pancreatic function and diabetes (4 papers). Nandita S. Raikwar is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), Trypanosoma species research and implications (4 papers) and Pancreatic function and diabetes (4 papers). Nandita S. Raikwar collaborates with scholars based in United States, Germany and Japan. Nandita S. Raikwar's co-authors include Christie P. Thomas, Kang Z. Liu, Mark A. Deeg, Amrik Sahota, Peter J. Stambrook, Jay A. Tischfield, Elizabeth Kelley, Changshun Shao, Li Liang and Li Deng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Nandita S. Raikwar

25 papers receiving 607 citations

Author Peers

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

Author Last Decade Papers Cites
Nandita S. Raikwar 331 133 109 93 77 27 616
William Puszyk 419 1.3× 52 0.4× 131 1.2× 61 0.7× 132 1.7× 20 678
Yuanhui Jia 463 1.4× 164 1.2× 83 0.8× 99 1.1× 154 2.0× 20 639
Xiaoling Weng 376 1.1× 62 0.5× 70 0.6× 71 0.8× 186 2.4× 31 686
Ryoichi Asaka 293 0.9× 127 1.0× 44 0.4× 68 0.7× 157 2.0× 38 622
Lorine Wilkinson 439 1.3× 129 1.0× 166 1.5× 69 0.7× 46 0.6× 23 671
Jiao Wang 149 0.5× 176 1.3× 73 0.7× 72 0.8× 38 0.5× 37 613
Aurelia Vattai 224 0.7× 166 1.2× 78 0.7× 209 2.2× 105 1.4× 49 636
Jasna Šinkovec 267 0.8× 141 1.1× 68 0.6× 99 1.1× 40 0.5× 22 688
Seiro Satohisa 354 1.1× 139 1.0× 36 0.3× 81 0.9× 255 3.3× 27 682
Bélinda Duchêne 319 1.0× 53 0.4× 139 1.3× 112 1.2× 132 1.7× 21 692

Countries citing papers authored by Nandita S. Raikwar

Since Specialization
Citations

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

Fields of papers citing papers by Nandita S. Raikwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nandita S. Raikwar. 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 Nandita S. Raikwar. The network helps show where Nandita S. Raikwar may publish in the future.

Co-authorship network of co-authors of Nandita S. Raikwar

This figure shows the co-authorship network connecting the top 25 collaborators of Nandita S. Raikwar. A scholar is included among the top collaborators of Nandita S. Raikwar 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 Nandita S. Raikwar. Nandita S. Raikwar 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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