R. Kishore Kanna

780 total citations
19 papers, 525 citations indexed

About

R. Kishore Kanna is a scholar working on Infectious Diseases, Cognitive Neuroscience and Complementary and alternative medicine. According to data from OpenAlex, R. Kishore Kanna has authored 19 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Cognitive Neuroscience and 3 papers in Complementary and alternative medicine. Recurrent topics in R. Kishore Kanna's work include Parasitic Diseases Research and Treatment (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). R. Kishore Kanna is often cited by papers focused on Parasitic Diseases Research and Treatment (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). R. Kishore Kanna collaborates with scholars based in India, United States and Malaysia. R. Kishore Kanna's co-authors include Suriah Abdul Rahman, B J Mahendra, Dileep N. Lobo, Namratha Rao, F. X. Meslin, Gangaboraiah, D H Ashwath Narayana, Mysore Kalappa Sudarshan, Shampur Narayan Madhusudana and Huay Woon You and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Infectious Diseases and Journal of Drug Delivery Science and Technology.

In The Last Decade

R. Kishore Kanna

15 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Kishore Kanna India	7	297	160	137	123	88	19	525
Sung-Kwon Kim United States	15	154 0.5×	299 1.9×	120 0.9×	45 0.4×	121 1.4×	32	1.3k
Ling Wu United States	15	269 0.9×	193 1.2×	235 1.7×	141 1.1×	48 0.5×	21	877
Roberta Madej United States	10	68 0.2×	112 0.7×	151 1.1×	22 0.2×	69 0.8×	15	413
Herold Oluoch United States	5	116 0.4×	310 1.9×	328 2.4×	153 1.2×	51 0.6×	5	1.2k
Patricia Bourguignon Belgium	11	112 0.4×	314 2.0×	218 1.6×	74 0.6×	29 0.3×	12	829
Farzaneh Sabahi Iran	16	73 0.2×	541 3.4×	164 1.2×	33 0.3×	48 0.5×	72	852
Tiecheng Wang China	14	39 0.1×	209 1.3×	309 2.3×	54 0.4×	49 0.6×	59	862
Alireza Gholami Iran	11	183 0.6×	101 0.6×	283 2.1×	59 0.5×	77 0.9×	34	558
Homero San‐Juan‐Vergara Colombia	15	36 0.1×	335 2.1×	230 1.7×	85 0.7×	83 0.9×	36	882

Countries citing papers authored by R. Kishore Kanna

Since Specialization

Citations

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

Fields of papers citing papers by R. Kishore Kanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Kishore Kanna. 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 R. Kishore Kanna. The network helps show where R. Kishore Kanna may publish in the future.

Co-authorship network of co-authors of R. Kishore Kanna

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

All Works

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19 of 19 papers shown

Kanna, R. Kishore, et al.. (2025). Improving EEG based brain computer interface emotion detection with EKO ALSTM model. PubMed. 15(1). 20727–20727. 1 indexed citations

Kanna, R. Kishore, et al.. (2025). EEG-Based Real-Time Feedback for Meditation Performance Optimization. 389–394.

Kanna, R. Kishore, et al.. (2025). Innovative ML-driven Recognition of EEG Patterns in Cognitive Training. International Research Journal of Multidisciplinary Technovation. 240–253.

Kanna, R. Kishore, et al.. (2025). Pancretic Cancer Prediction Using urinary biomarkers. 1–6.

Kanna, R. Kishore, et al.. (2025). Advanced Analysis of Alpha EEG Patterns for Identifying Meditative States in Alpha Power Activation Yoga (APAY). International Research Journal of Multidisciplinary Technovation. 148–164. 1 indexed citations

Kanna, R. Kishore, et al.. (2024). Diagnosis of gastric cancer in role of endoscopic imaging techniques in artificial intelligence and machine learning applications: An overview. SHILAP Revista de lepidopterología. 491. 3016–3016. 5 indexed citations

You, Huay Woon, et al.. (2023). Strategies of Artificial intelligence tools in the domain of nanomedicine. Journal of Drug Delivery Science and Technology. 91. 105157–105157. 43 indexed citations

Kanna, R. Kishore, et al.. (2023). Detection of Covid-19 Using AI Application. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 45 indexed citations

Kalpana, R., et al.. (2023). BREAST CANCER EPIDEMIOLOGY IN KAZAKHSTAN FOR THE PERIOD 2012-2021. 128–137. 2 indexed citations

10.

Kanna, R. Kishore, et al.. (2021). Coverage Evaluation Survey of Mass Drug Administration Strategy to Eliminate Lymphatic Filariasis in North Karnataka Region. Are We on Track. 8(4). 40–45.

11.

Kanna, R. Kishore, et al.. (2021). Anatomical studies on the leaf and stem of Tinospora formanii Udayan & Pradeep (Menispermaceae), an endemic species to Southern Western Ghats, Kerala, India. Current Botany. 132–137. 1 indexed citations

12.

Kanna, R. Kishore, et al.. (2019). Comparative Pharmacognostical and histochemical studies on the three different species of Tinospora on stem and leaf. Journal of Pharmacognosy and Phytochemistry. 8(2). 650–655. 4 indexed citations

13.

Kanna, R. Kishore, et al.. (2019). Evaluation of coverage and compliance to mass drug administration for lymphatic filariasis elimination in two endemic districts of Karnataka. International Journal of Community Medicine and Public Health. 6(8). 3583–3583. 7 indexed citations

14.

Kulkarni, Praveen, et al.. (2019). Mass drug administration programme against lymphatic filariasis-an evaluation of coverage and compliance in a northern Karnataka district, India. Clinical Epidemiology and Global Health. 8(1). 87–90. 11 indexed citations

15.

Kamath, Ramachandra, et al.. (2018). Evaluation of mass drug administration programme for elimination of lymphatic filariasis in Bidar district, Karnataka. International Journal of Community Medicine and Public Health. 5(3). 1020–1020. 6 indexed citations

16.

Kanna, R. Kishore, et al.. (2009). Hypolipidemic effect of methanolic extract of Mussaenda frondosa Linn. leaves in high fat diet fed rats.. Journal of Pharmacy Research. 2(4). 579–581. 1 indexed citations

17.

Christina, A. J. M., et al.. (2009). Wound healing activity of the leaves of Tribulus terrestris (linn) aqueous extract in rats. Journal of Pharmacy Research. 2(5). 841–843. 12 indexed citations

18.

Sudarshan, Mysore Kalappa, Shampur Narayan Madhusudana, B J Mahendra, et al.. (2006). Assessing the burden of human rabies in India: results of a national multi-center epidemiological survey. International Journal of Infectious Diseases. 11(1). 29–35. 332 indexed citations

19.

Mayer, Robert J., Charles A. Schiffer, B. A. Peterson, et al.. (1987). Intensive postremission therapy in adults with acute nonlymphocytic leukemia using various dose schedules of ara-C: a progress report from the CALGB. Cancer and Leukemia Group B.. PubMed. 14(2 Suppl 1). 25–31. 54 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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