Nisha Kanwar

111 total papers · 643 total citations
23 papers, 266 citations indexed

About

Nisha Kanwar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Nisha Kanwar has authored 23 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Nisha Kanwar's work include Cancer Genomics and Diagnostics (7 papers), Cancer Cells and Metastasis (4 papers) and RNA and protein synthesis mechanisms (3 papers). Nisha Kanwar is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Cancer Cells and Metastasis (4 papers) and RNA and protein synthesis mechanisms (3 papers). Nisha Kanwar collaborates with scholars based in Canada, United Kingdom and United States. Nisha Kanwar's co-authors include Susan J. Done, Pingzhao Hu, David R. McCready, Mark Clemons, Philippe L. Bédard, Burckhard Seelig, Dawei Ma, Xiujie Liu, Jan Jongstra and Celia Blanco and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Nisha Kanwar

19 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Nisha Kanwar	148	89	72	48	30	23	266
Shruti Sinha	125 0.8×	49 0.6×	56 0.8×	22 0.5×	8 0.3×	26	258
Duowei Wang	171 1.2×	71 0.8×	66 0.9×	18 0.4×	15 0.5×	15	299
Jie Li	73 0.5×	103 1.2×	72 1.0×	35 0.7×	5 0.2×	21	303
Philippe Giron	212 1.4×	132 1.5×	43 0.6×	47 1.0×	7 0.2×	20	295
Nicole Pinto	143 1.0×	97 1.1×	54 0.8×	26 0.5×	7 0.2×	21	260
Elisabeth J. Shaw	137 0.9×	74 0.8×	58 0.8×	10 0.2×	7 0.2×	16	289
Tatsunori Okamura	169 1.1×	78 0.9×	20 0.3×	23 0.5×	13 0.4×	16	327
Weihua Li	193 1.3×	56 0.6×	83 1.2×	31 0.6×	5 0.2×	16	312
Dimitra Stefanou	122 0.8×	87 1.0×	41 0.6×	25 0.5×	5 0.2×	29	303
Samantha J. McDonough	144 1.0×	51 0.6×	76 1.1×	27 0.6×	11 0.4×	18	254

Countries citing papers authored by Nisha Kanwar

Since Specialization

Citations

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

Fields of papers citing papers by Nisha Kanwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Kanwar

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