S. Lokesh

908 total citations
60 papers, 364 citations indexed

About

S. Lokesh is a scholar working on Plant Science, Epidemiology and Cell Biology. According to data from OpenAlex, S. Lokesh has authored 60 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Epidemiology and 10 papers in Cell Biology. Recurrent topics in S. Lokesh's work include Plant Pathogens and Fungal Diseases (10 papers), Mosquito-borne diseases and control (6 papers) and Essential Oils and Antimicrobial Activity (5 papers). S. Lokesh is often cited by papers focused on Plant Pathogens and Fungal Diseases (10 papers), Mosquito-borne diseases and control (6 papers) and Essential Oils and Antimicrobial Activity (5 papers). S. Lokesh collaborates with scholars based in India, United States and Singapore. S. Lokesh's co-authors include Agieshkumar Balakrishna Pillai, M. Govindappa, Vinay B. Raghavendra, H. S. Prakash, S. Umesha, Pajanivel Ranganadin, Joshy M Easow, Soundravally Rajendiran, H. S. Shetty and Mohammed Salman and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Free Radical Biology and Medicine.

In The Last Decade

S. Lokesh

58 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Lokesh India 11 122 76 59 52 49 60 364
Lidija Zolotarevski Serbia 15 61 0.5× 60 0.8× 20 0.3× 81 1.6× 18 0.4× 56 641
Andrea Krautheim Germany 13 49 0.4× 35 0.5× 120 2.0× 85 1.6× 62 1.3× 21 659
Lal B India 11 79 0.6× 70 0.9× 43 0.7× 23 0.4× 56 1.1× 18 342
Juliana Gonçalves Portugal 10 31 0.3× 100 1.3× 22 0.4× 115 2.2× 12 0.2× 24 464
Emi Okamoto Japan 17 97 0.8× 24 0.3× 93 1.6× 263 5.1× 50 1.0× 37 692
S. Inomata Japan 10 76 0.6× 17 0.2× 23 0.4× 116 2.2× 20 0.4× 15 439
Arvind Singh India 9 64 0.5× 42 0.6× 109 1.8× 53 1.0× 12 0.2× 50 341
Shiwei Zhou United States 9 35 0.3× 48 0.6× 19 0.3× 79 1.5× 7 0.1× 32 282
Marta Citelli Brazil 14 63 0.5× 13 0.2× 29 0.5× 89 1.7× 19 0.4× 39 521
Shiwei Chen China 11 35 0.3× 105 1.4× 12 0.2× 109 2.1× 9 0.2× 36 344

Countries citing papers authored by S. Lokesh

Since Specialization
Citations

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

Fields of papers citing papers by S. Lokesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lokesh

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

All Works

20 of 20 papers shown
1.
Lokesh, S., et al.. (2024). Increased shedding of PECAM-1 associated with elevated serum MMP-14 levels as new blood indicators of dengue disease manifestation. Infectious Diseases Now. 54(7). 104964–104964. 1 indexed citations
2.
3.
Ranganadin, Pajanivel, et al.. (2022). Early shedding of membrane-bounded ACE2 could be an indicator for disease severity in SARS-CoV-2. Biochimie. 201. 139–147. 15 indexed citations
4.
Lokesh, S., et al.. (2022). Differential expression of interferon inducible protein: Guanylate binding protein (GBP1 & GBP2) in severe dengue. Free Radical Biology and Medicine. 194. 131–146. 8 indexed citations
5.
Ranganadin, Pajanivel, et al.. (2021). Potential biomarkers for the early prediction of SARS-COV-2 disease outcome. Microbial Pathogenesis. 158. 105057–105057. 22 indexed citations
6.
Lokesh, S., et al.. (2021). Expression dynamics of vascular endothelial markers: endoglin and syndecan-1 in predicting dengue disease outcome. Translational research. 232. 121–141. 24 indexed citations
7.
Ranganadin, Pajanivel, S. Lokesh, Balanehru Subramanian, et al.. (2021). COVID-19 Pandemic—Frontline Experiences and Lessons Learned From a Tertiary Care Teaching Hospital at a Suburban Location of Southeastern India. Frontiers in Public Health. 9. 673536–673536. 8 indexed citations
8.
Lokesh, S., et al.. (2020). Admission blood glucose and echocardiography to predict major adverse cardiac events in acute coronary syndrome: a review. International Journal of Advances in Medicine. 7(5). 881–881. 1 indexed citations
9.
Dutta, Tarun Kumar, et al.. (2019). A clinical and microbiological profile of urinary tract infection in patients with chronic kidney diseases. International Journal of Advances in Medicine. 6(3). 911–911. 4 indexed citations
10.
Lokesh, S.. (2016). A Comparative Study of Lipid Profile and Cardiovascular Risk Biomarkers Among Chronic Haemodialysis Patients and Healthy Individuals. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 10(9). OC15–OC19. 5 indexed citations
11.
Chandrasekhar, K. B., et al.. (2015). Antimicrobial and Antioxidant Activities of Tribal Medicine formulation (TMF) accomplished for Wound related remedies in Biligirirangana Hill area of Chamarajanagara district, Karnataka (India). Scholar Science Journals - International Journal of Biomedical Research. 2 indexed citations
12.
13.
Lokesh, S., et al.. (2014). Hyper vitaminosis D: are we overprescribing vitamin D?. SHILAP Revista de lepidopterología. 3(4). 464–464. 1 indexed citations
14.
Salman, Mohammed, et al.. (2012). Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India. Journal of Mid-life Health. 3(1). 24–24. 30 indexed citations
15.
Govindappa, M., S. Umesha, & S. Lokesh. (2011). Adathoda vasica leaf extract induces resistance in rice against bacterial leaf blight disease (Xanthomonas oryzae pv. oryzae).. 3(1). 6–14. 24 indexed citations
16.
Govindappa, M., V. Ravishankar, & S. Lokesh. (2011). In vitro and in vivo responses of different treating agents against wilt disease of safflower. Journal of Clinical Oncology. 2(1). 16–25. 6 indexed citations
17.
Raghavendra, Vinay B., et al.. (2007). Dravya—As an organic agent for the management of seed-borne fungi of sorghum and its role in the induction of defense enzymes. Pesticide Biochemistry and Physiology. 89(3). 190–197. 17 indexed citations
18.
Raghavendra, Vinay B., et al.. (2005). First report of tuber-rot of Safed musli(Chlorophytum borivilianum) caused byFusarium solaniin India. Australasian Plant Pathology. 34(2). 275–275. 2 indexed citations
19.
Lokesh, S., et al.. (2003). Influence of some indigenous medicinal plants extracts on seed mycoflora and seedling growth of some oilseed crop species.. Advances in plant sciences. 16(1). 67–74. 2 indexed citations
20.
Thippeswamy, Thimmasettappa & S. Lokesh. (1997). Efficacy of different seed dressing chemicals on seed mycoflora, seed germination and seedling vigour of sunflower (Helianthus annuus L.). 25(1). 64–67. 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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