Kanwar Singh

415 total citations
10 papers, 277 citations indexed

About

Kanwar Singh is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Kanwar Singh has authored 10 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Plant Science. Recurrent topics in Kanwar Singh's work include Plant tissue culture and regeneration (7 papers), Plant Pathogens and Fungal Diseases (5 papers) and Flowering Plant Growth and Cultivation (2 papers). Kanwar Singh is often cited by papers focused on Plant tissue culture and regeneration (7 papers), Plant Pathogens and Fungal Diseases (5 papers) and Flowering Plant Growth and Cultivation (2 papers). Kanwar Singh collaborates with scholars based in India, United States and Canada. Kanwar Singh's co-authors include Rex R. Malmstrom, Axel Visel, Richard Morgan, Tyson A. Clark, János Pósfai, Edward M. Rubin, Alexey Fomenkov, Richard J. Roberts, Kelly M. Wetmore and Matthew J. Blow and has published in prestigious journals such as PLoS Genetics, mSystems and The Indian Journal of Agricultural Sciences.

In The Last Decade

Kanwar Singh

6 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kanwar Singh India	4	201	81	57	48	23	10	277
Alicia Jiménez‐Fernández Spain	9	206 1.0×	76 0.9×	86 1.5×	89 1.9×	31 1.3×	9	323
Eric van der Helm Denmark	6	172 0.9×	54 0.7×	20 0.4×	29 0.6×	38 1.7×	8	234
Vanja Perčulija China	9	237 1.2×	77 1.0×	31 0.5×	26 0.5×	6 0.3×	9	341
Benjamin A. Siranosian United States	6	248 1.2×	95 1.2×	44 0.8×	25 0.5×	55 2.4×	11	361
Nicolas Pradervand Switzerland	7	193 1.0×	134 1.7×	61 1.1×	138 2.9×	80 3.5×	9	319
Nicola M. Coyle United Kingdom	5	124 0.6×	62 0.8×	38 0.7×	23 0.5×	24 1.0×	6	239
Javier Serranía Germany	8	105 0.5×	66 0.8×	151 2.6×	54 1.1×	8 0.3×	16	258
Sanjarbek Hudaiberdiev Italy	6	198 1.0×	55 0.7×	54 0.9×	73 1.5×	8 0.3×	9	232
Rogério F. Lourenço Brazil	10	203 1.0×	84 1.0×	63 1.1×	119 2.5×	13 0.6×	15	338
Aya Brown Kav Israel	5	181 0.9×	138 1.7×	28 0.5×	28 0.6×	61 2.7×	6	276

Countries citing papers authored by Kanwar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Kanwar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanwar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Kanwar Singh. A scholar is included among the top collaborators of Kanwar Singh 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 Kanwar Singh. Kanwar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Singh, Kanwar, W. Berkeley Kauffman, Erin Nuccio, et al.. (2023). A standardized quantitative analysis strategy for stable isotope probing metagenomics. mSystems. 8(4). e0128022–e0128022. 8 indexed citations

2.

Singh, Kanwar, et al.. (2016). Gamma irradiation of in-vitro proliferated cultures of rose (Rosa hybrida) for induction of novel mutants. The Indian Journal of Agricultural Sciences. 86(1). 1 indexed citations

3.

Blow, Matthew J., Tyson A. Clark, Chris Daum, et al.. (2016). The Epigenomic Landscape of Prokaryotes. PLoS Genetics. 12(2). e1005854–e1005854. 256 indexed citations

4.

Raju, Dhandapani, et al.. (2015). Standardization of protocol for in vitro multiplication of rose (Rosa × hybrida) cv. Happiness. The Indian Journal of Agricultural Sciences. 85(11). 1513–1517.

5.

Singh, Kanwar, et al.. (2015). In vitro mutagenesis in rose (Rosa hybrida L.) cv. Raktima for novel traits. 3 indexed citations

6.

Singh, Kanwar, et al.. (2014). In vitro morphogenesis in marigold using shoot tip as explant. Indian Journal of Horticulture. 71(1). 82–86. 4 indexed citations

7.

Singh, Kanwar, et al.. (2013). Standardization of an efficient protocol for in vitro mass multiplication of Hybrid Tea rose cv. Raktima. Indian Journal of Horticulture. 70(3). 404–410. 1 indexed citations

8.

Singh, Kanwar, et al.. (2013). Standardization of in vitro mass multiplication protocol for hybrid tea rose cv. Grand Gala. Indian Journal of Horticulture. 70(4). 560–565. 1 indexed citations

9.

Singh, Kanwar, et al.. (2013). Self-and cross-incompatibility relationship in rose (Rosa hybrida) varieties. 1(2). 7–9. 1 indexed citations

10.

Singh, Kanwar, et al.. (2010). Standardization of in vitro mass multiplication protocol for hybrid tea rose cv. Pusa Mohit. Indian Journal of Horticulture. 67(2). 225–229. 2 indexed citations

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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