Shalabh Thakur

926 total citations
16 papers, 656 citations indexed

About

Shalabh Thakur is a scholar working on Plant Science, Molecular Biology and Surgery. According to data from OpenAlex, Shalabh Thakur has authored 16 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Shalabh Thakur's work include Plant Pathogenic Bacteria Studies (7 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Parasitism and Resistance (3 papers). Shalabh Thakur is often cited by papers focused on Plant Pathogenic Bacteria Studies (7 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Parasitism and Resistance (3 papers). Shalabh Thakur collaborates with scholars based in Canada, United States and India. Shalabh Thakur's co-authors include David S. Guttman, Heath O’Brien, Pauline W. Wang, Bevan Weir, Honour C. McCann, Hardeep K. Nahal-Bose, Marcus M. Dillon, Renan N. D. Almeida, Elwira Smakowska and G. Adam Mott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Scientific Reports.

In The Last Decade

Shalabh Thakur

16 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shalabh Thakur Canada 10 550 149 104 54 32 16 656
Susanne Jock Germany 14 502 0.9× 119 0.8× 247 2.4× 60 1.1× 20 0.6× 17 579
Tatiana S. Mucyn United States 10 850 1.5× 205 1.4× 48 0.5× 55 1.0× 20 0.6× 11 935
Raheleh Sheibani‐Tezerji Austria 5 403 0.7× 170 1.1× 82 0.8× 44 0.8× 36 1.1× 10 534
Elizabeth A. Savory United States 15 814 1.5× 232 1.6× 217 2.1× 28 0.5× 49 1.5× 17 883
Braham Dhillon United States 14 379 0.7× 176 1.2× 215 2.1× 99 1.8× 43 1.3× 39 514
Caroline M. Press United States 12 659 1.2× 254 1.7× 338 3.3× 33 0.6× 14 0.4× 18 710
Laurène Rochat Switzerland 6 291 0.5× 126 0.8× 31 0.3× 83 1.5× 52 1.6× 6 412
Marianela Rodríguez Argentina 11 445 0.8× 243 1.6× 29 0.3× 41 0.8× 10 0.3× 25 632
Helen G. Pennington United Kingdom 8 478 0.9× 139 0.9× 149 1.4× 18 0.3× 8 0.3× 8 535
Tom Martin Sweden 13 286 0.5× 180 1.2× 95 0.9× 29 0.5× 91 2.8× 17 447

Countries citing papers authored by Shalabh Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Shalabh Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalabh Thakur

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

All Works

16 of 16 papers shown
1.
Ishiyama, Noboru, Matthew O’Connor, Andrei Salomatov, et al.. (2022). Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects. Cancer Research. 83(9). 1531–1542. 9 indexed citations
2.
Dardenne, Étienne, Fernando Padilla, Shao Ning Yang, et al.. (2021). Abstract P246: Discovery and characterization of selective, FGFR1 sparing, inhibitors of FGFR2/3 oncogenic mutations for the treatment of cancers. Molecular Cancer Therapeutics. 20(12_Supplement). P246–P246. 1 indexed citations
3.
Dardenne, Étienne, Shao Ning Yang, Ahmet Mentes, et al.. (2021). 35MO Discovery and characterization of selective, FGFR1-sparing, inhibitors of FGFR2/3 oncogenic mutations for the treatment of cancers. Annals of Oncology. 32. S15–S15. 1 indexed citations
4.
Ponce‐Soto, Gabriel Yaxal, Jonás A. Aguirre‐Liguori, Shalabh Thakur, et al.. (2020). Population genomics of Vibrionaceae isolated from an endangered oasis reveals local adaptation after an environmental perturbation. BMC Genomics. 21(1). 418–418. 8 indexed citations
5.
Dillon, Marcus M., Shalabh Thakur, Renan N. D. Almeida, et al.. (2019). Recombination of ecologically and evolutionarily significant loci maintains genetic cohesion in the Pseudomonas syringae species complex. Genome biology. 20(1). 3–3. 84 indexed citations
6.
Assis, Renata Machado de, José Salvatore Leister Patané, Shalabh Thakur, et al.. (2017). Identification and analysis of seven effector protein families with different adaptive and evolutionary histories in plant-associated members of the Xanthomonadaceae. Scientific Reports. 7(1). 16133–16133. 32 indexed citations
7.
Mott, G. Adam, Shalabh Thakur, Elwira Smakowska, et al.. (2016). Genomic screens identify a new phytobacterial microbe-associated molecular pattern and the cognate Arabidopsis receptor-like kinase that mediates its immune elicitation. Genome biology. 17(1). 98–98. 53 indexed citations
8.
Thakur, Shalabh & David S. Guttman. (2016). A De-Novo Genome Analysis Pipeline (DeNoGAP) for large-scale comparative prokaryotic genomics studies. BMC Bioinformatics. 17(1). 260–260. 9 indexed citations
9.
Thakur, Shalabh, Bevan Weir, & David S. Guttman. (2016). Phytopathogen Genome Announcement: Draft Genome Sequences of 62 Pseudomonas syringae Type and Pathotype Strains. Molecular Plant-Microbe Interactions. 29(4). 243–246. 31 indexed citations
10.
O’Brien, Heath, Shalabh Thakur, Yunchen Gong, et al.. (2012). Extensive remodeling of the Pseudomonas syringae pv. avellanae type III secretome associated with two independent host shifts onto hazelnut. BMC Microbiology. 12(1). 141–141. 45 indexed citations
11.
McCann, Honour C., Hardeep K. Nahal-Bose, Shalabh Thakur, & David S. Guttman. (2012). Identification of innate immunity elicitors using molecular signatures of natural selection. Proceedings of the National Academy of Sciences. 109(11). 4215–4220. 72 indexed citations
12.
O’Brien, Heath, Shalabh Thakur, & David S. Guttman. (2011). ANNUAL REVIEW OF PHYTOPATHOLOGY, VOL 49. Annual Review of Phytopathology. 222 indexed citations
13.
Thakur, Shalabh, Sanjay Jha, & Bharat B. Chattoo. (2011). CastorDB: a comprehensive knowledge base for Ricinus communis. BMC Research Notes. 4(1). 356–356. 6 indexed citations
14.
O’Brien, Heath, Shalabh Thakur, & David S. Guttman. (2011). Evolution of Plant Pathogenesis inPseudomonas syringae: A Genomics Perspective. Annual Review of Phytopathology. 49(1). 269–289. 69 indexed citations
15.
Thakur, Shalabh, et al.. (2009). Genomic Resources of Magnaporthe oryzae (GROMO): A comprehensive and integrated database on rice blast fungus. BMC Genomics. 10(1). 316–316. 8 indexed citations
16.
Chatterjee, Subhasish, Bonnie Gersten, Shalabh Thakur, & Alexander L. Burin. (2007). Molecular dynamics simulations of a single stranded (ss) DNA. Molecular Simulation. 33(7). 573–576. 6 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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