Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Randomized phase II trial of the efficacy and safety of trastuzumab combined with docetaxel in patients with human epidermal growth factor receptor 2-positive metastatic breast cancer administered as first-line treatment: the M77001 study group.
This map shows the geographic impact of John Kennedy'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 John Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kennedy more than expected).
This network shows the impact of papers produced by John Kennedy. 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 John Kennedy. The network helps show where John Kennedy may publish in the future.
Co-authorship network of co-authors of John Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of John Kennedy.
A scholar is included among the top collaborators of John Kennedy 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 John Kennedy. John Kennedy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karthikeyan, G., et al.. (2019). Incidence of Groundnut bud necrosis virus (Bunyaviridae: Tospovirus ) and associated vector (Frankliniella schultzei Trybom) in major tomato growing regions of Tamil Nadu and Karnataka. Pest Management in Horticultural Ecosystems. 25(2). 233–240.
6.
Kennedy, John, et al.. (2017). Survey on the incidence of jasmine budworm, Hendecasis duplifascialis Hampson and its natural enemies in Tamil Nadu.. 13(2). 133–139.1 indexed citations
Kennedy, John, et al.. (2016). Evaluation of microbial agents against jasmine budworm, Hendecasis duplifascialis Hampson in jasmine (Jasminum sambac L.).. Current biotica. 10(3). 230–240.
Kennedy, John, et al.. (2014). Field Efficacy of Beauveria bassiana (Balsamo) Vuellemin against Paracoccus marginatus in Tapioca. Trends in Biosciences. 7(3). 227–230.
12.
Kennedy, John, et al.. (2014). Laboratory evaluation of Beauveria bassiana (Balsamo) Vuillemin against Crawler Stage of Paracoccus marginatus (Williams and Granara de Willink). Trends in Biosciences. 7(4). 246–249.
13.
Kennedy, John, et al.. (2013). Influence of temperature on egg hatching and development time of brown plant hopper.. INTERNATIONAL JOURNAL OF PLANT PROTECTION. 6(2). 376–378.3 indexed citations
14.
Kumar, N., et al.. (2006). Flower bud initiation and differentiation in plants of cv. Robusta (AAA) derived from suckers and from tissue-cultured plantlets.. 15. 24–25.1 indexed citations
Mirowski, Ginat W., et al.. (2004). Treatment of glossodynia with olanzapine. Journal of the American Academy of Dermatology. 51(3). 463–465.17 indexed citations
18.
Rabindra, R. J., et al.. (2003). ISOLATION AND DNA CHARACTERISATION OF A NUCLEAR POLYHEDROSIS VIRUS FROM THE LOOPER Boarmia (=Ascotis) selenaria (Lepidoptera : Geometridae). Pest Management in Horticultural Ecosystems. 9(1). 49–53.1 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.