Sudheer Kumar Katari

523 total citations
30 papers, 393 citations indexed

About

Sudheer Kumar Katari is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Sudheer Kumar Katari has authored 30 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Infectious Diseases. Recurrent topics in Sudheer Kumar Katari's work include Computational Drug Discovery Methods (8 papers), vaccines and immunoinformatics approaches (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Sudheer Kumar Katari is often cited by papers focused on Computational Drug Discovery Methods (8 papers), vaccines and immunoinformatics approaches (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Sudheer Kumar Katari collaborates with scholars based in India, United Kingdom and United States. Sudheer Kumar Katari's co-authors include Amineni Umamaheswari, Kanipakam Hema, Mukesh Meena, R.V. Omkumar, Sarvesh Pratap Kashyap, Manish Kumar Dubey, Surendra Singh, Mohd Aamir, Vinay Kumar Singh and Ram Sanmukh Upadhyay and has published in prestigious journals such as SHILAP Revista de lepidopterología, RSC Advances and Frontiers in Pharmacology.

In The Last Decade

Sudheer Kumar Katari

26 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudheer Kumar Katari India 10 180 84 65 54 44 30 393
Konrad Diedrich Germany 5 219 1.2× 91 1.1× 19 0.3× 59 1.1× 22 0.5× 7 376
Venkatesan Suryanarayanan India 12 226 1.3× 113 1.3× 43 0.7× 63 1.2× 18 0.4× 24 452
Abdulraheem Ali Almalki Saudi Arabia 12 226 1.3× 37 0.4× 62 1.0× 32 0.6× 16 0.4× 29 520
Naheed Akhtar Pakistan 14 185 1.0× 30 0.4× 227 3.5× 73 1.4× 20 0.5× 66 736
Baohua Zhang China 11 216 1.2× 40 0.5× 70 1.1× 12 0.2× 12 0.3× 20 505
Rasel Ahmed Khan Bangladesh 10 111 0.6× 49 0.6× 56 0.9× 20 0.4× 21 0.5× 19 294
Leonardo Baldassarre Italy 12 272 1.5× 19 0.2× 20 0.3× 103 1.9× 26 0.6× 14 476
Nicole Ramsey United States 9 258 1.4× 24 0.3× 27 0.4× 32 0.6× 24 0.5× 21 512
Kirsten Skogerson United States 11 268 1.5× 26 0.3× 197 3.0× 16 0.3× 10 0.2× 11 638
Bisheng Huang China 16 388 2.2× 26 0.3× 162 2.5× 20 0.4× 7 0.2× 54 758

Countries citing papers authored by Sudheer Kumar Katari

Since Specialization
Citations

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

Fields of papers citing papers by Sudheer Kumar Katari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudheer Kumar Katari. 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 Sudheer Kumar Katari. The network helps show where Sudheer Kumar Katari may publish in the future.

Co-authorship network of co-authors of Sudheer Kumar Katari

This figure shows the co-authorship network connecting the top 25 collaborators of Sudheer Kumar Katari. A scholar is included among the top collaborators of Sudheer Kumar Katari 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 Sudheer Kumar Katari. Sudheer Kumar Katari 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
2.
Katari, Sudheer Kumar, et al.. (2023). Mutation Analysis of SARS-CoV-2 Variants Isolated from Symptomatic Cases from Andhra Pradesh, India. Viruses. 15(8). 1656–1656. 1 indexed citations
3.
Katari, Sudheer Kumar, et al.. (2023). Identification of a natural antagonist for signal transducer and activator of transcription 3 (STAT3) by computational approach. Results in Chemistry. 5. 100970–100970. 5 indexed citations
4.
Katari, Sudheer Kumar, et al.. (2021). Lipopolysaccharide. SHILAP Revista de lepidopterología. 10(4). 233–239. 2 indexed citations
5.
Katari, Sudheer Kumar, et al.. (2021). In silico trials to design potent inhibitors against matrilysin (MMP-7). Journal of Biomolecular Structure and Dynamics. 40(22). 11851–11862. 1 indexed citations
6.
Katari, Sudheer Kumar, et al.. (2020). Novel and potent inhibitors for dihydropteroate synthase ofHelicobacter pylori. Journal of Receptors and Signal Transduction. 40(3). 246–256. 15 indexed citations
7.
Katari, Sudheer Kumar, et al.. (2019). In silico probing exercises, bioactive-conformational and dynamic simulations strategies for designing and promoting selective therapeutics against Helicobacter pylori strains. Journal of Molecular Graphics and Modelling. 92. 167–179. 7 indexed citations
8.
Katari, Sudheer Kumar, et al.. (2019). Hierarchical-Clustering, Scaffold-Mining Exercises and Dynamics Simulations for Effectual Inhibitors Against Lipid-A Biosynthesis of Helicobacter pylori. Cellular and Molecular Bioengineering. 12(3). 255–274. 11 indexed citations
10.
Katari, Sudheer Kumar, et al.. (2019). Design of Novel Antimycobacterial Molecule Targeting Shikimate Pathway of Mycobacterium tuberculosis. Indian Journal of Pharmaceutical Sciences. 81(3). 5 indexed citations
11.
Katari, Sudheer Kumar, et al.. (2019). Discovery of Common Putative Drug Targets and Vaccine Candidates for Mycobacterium tuberculosis sp.. Journal of Drug Delivery and Therapeutics. 9(2-s). 67–71. 5 indexed citations
12.
Chilamakuri, Chandra Sekhar Reddy, et al.. (2018). An in silico study: Novel targets for potential drug and vaccine design against drug resistant H. pylori. Microbial Pathogenesis. 122. 156–161. 22 indexed citations
13.
Aamir, Mohd, Vinay Kumar Singh, Manish Kumar Dubey, et al.. (2018). In silico Prediction, Characterization, Molecular Docking, and Dynamic Studies on Fungal SDRs as Novel Targets for Searching Potential Fungicides Against Fusarium Wilt in Tomato. Frontiers in Pharmacology. 9. 1038–1038. 97 indexed citations
14.
Chilamakuri, Chandra Sekhar Reddy, et al.. (2018). Epitope-driven common subunit vaccine design against H. pylori strains. Journal of Biomolecular Structure and Dynamics. 37(14). 3740–3750. 14 indexed citations
15.
Umamaheswari, Amineni, et al.. (2017). Synthesis, Biological Evaluation and Docking Studies of N-(2-benzamido feruloyl) Aryl Hydrazone Analogues. Letters in Drug Design & Discovery. 15(8). 875–886. 6 indexed citations
16.
Hema, Kanipakam, et al.. (2017). E-Pharmacophore Model Assisted Discovery of Novel Antagonists of nNOS. Biochemistry & Analytical Biochemistry. 6(1). 8 indexed citations
17.
Munikumar, Manne, et al.. (2015). 197 Combination of e-pharmacophore modeling, multiple docking strategies and molecular dynamic simulations to discover of novel antagonists of BACE1. Journal of Biomolecular Structure and Dynamics. 33(sup1). 129–130. 13 indexed citations
18.
Katari, Sudheer Kumar, et al.. (2002). Sequence determinants on the NR2A and NR2B subunits of NMDA receptor responsible for specificity of phosphorylation by CaMKII. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1598(1-2). 40–45. 45 indexed citations
19.
Devi, Kangjam Rekha, et al.. (2002). Purification and Characterization of Three Immunodominant Proteins (38, 30, and 16 kDa) of Mycobacterium tuberculosis. Protein Expression and Purification. 24(2). 188–195. 17 indexed citations
20.
Katari, Sudheer Kumar, Kangjam Rekha Devi, & Alamelu Raja. (2002). Isolation and evaluation of diagnostic value of two major secreted proteins of Mycobacterium tuberculosis.. PubMed. 44(4). 225–32. 7 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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