Jitendar Reddy

1.1k total citations
9 papers, 255 citations indexed

About

Jitendar Reddy is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Jitendar Reddy has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Jitendar Reddy's work include Tuberculosis Research and Epidemiology (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Cancer therapeutics and mechanisms (4 papers). Jitendar Reddy is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Cancer therapeutics and mechanisms (4 papers). Jitendar Reddy collaborates with scholars based in India, United Kingdom and United States. Jitendar Reddy's co-authors include Vijender Panduga, Sreevalli Sharma, Radha Krishan Shandil, Suresh Solapure, Vasanthi Ramachandran, Naveen Kumar, Samit Ganguly, V. Balasubramanian, Ramanatha Saralaya and Vijay Kamal Ahuja and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, European Journal of Pharmaceutical Sciences and Tuberculosis.

In The Last Decade

Jitendar Reddy

9 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jitendar Reddy India	7	153	116	80	58	40	9	255
Vijender Panduga India	7	143 0.9×	111 1.0×	76 0.9×	59 1.0×	42 1.1×	8	244
Dmitry A. Maslov Russia	10	149 1.0×	106 0.9×	109 1.4×	61 1.1×	43 1.1×	34	281
Daniel Hoagland United States	7	174 1.1×	282 2.4×	84 1.1×	83 1.4×	29 0.7×	7	444
Neela Dinesh India	5	197 1.3×	96 0.8×	140 1.8×	32 0.6×	87 2.2×	6	266
Nagamiah Selvakumar India	5	164 1.1×	96 0.8×	112 1.4×	34 0.6×	22 0.6×	6	260
Amy S.T. Tong New Zealand	9	226 1.5×	246 2.1×	101 1.3×	77 1.3×	37 0.9×	10	361
Norio Doi Japan	10	256 1.7×	157 1.4×	199 2.5×	65 1.1×	56 1.4×	20	389
Mel Spigelman United States	6	272 1.8×	142 1.2×	171 2.1×	57 1.0×	24 0.6×	11	376
Fátima Ortega Spain	10	170 1.1×	140 1.2×	137 1.7×	83 1.4×	30 0.8×	14	304
Fabio L. Fontes United States	7	234 1.5×	210 1.8×	144 1.8×	39 0.7×	50 1.3×	8	366

Countries citing papers authored by Jitendar Reddy

Since Specialization

Citations

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

Fields of papers citing papers by Jitendar Reddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitendar Reddy

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

All Works

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9 of 9 papers shown

Singh, Ragini, Vasanthi Ramachandran, Radha Krishan Shandil, et al.. (2015). In Silico -Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment. Antimicrobial Agents and Chemotherapy. 59(9). 5664–5674. 8 indexed citations

Kumar, Naveen, et al.. (2014). Pharmacokinetics and dose response of anti-TB drugs in rat infection model of tuberculosis. Tuberculosis. 94(3). 282–286. 17 indexed citations

P, Shahul Hameed, Anandkumar Raichurkar, Prashanti Madhavapeddi, et al.. (2014). Benzimidazoles: Novel Mycobacterial Gyrase Inhibitors from Scaffold Morphing. ACS Medicinal Chemistry Letters. 5(7). 820–825. 43 indexed citations

Chatterji, Monalisa, Radha Krishan Shandil, M. R. Manjunatha, et al.. (2014). 1,4-Azaindole, a Potential Drug Candidate for Treatment of Tuberculosis. Antimicrobial Agents and Chemotherapy. 58(9). 5325–5331. 89 indexed citations

Hosagrahara, Vinayak, et al.. (2013). Effect of repeated dosing on rifampin exposure in BALB/c mice. European Journal of Pharmaceutical Sciences. 49(1). 33–38. 12 indexed citations

Solapure, Suresh, Neela Dinesh, Radha Krishan Shandil, et al.. (2013). In Vitro and In Vivo Efficacy of β-Lactams against Replicating and Slowly Growing/Nonreplicating Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 57(6). 2506–2510. 61 indexed citations

Reddy, Jitendar, et al.. (2012). Fast mouse PK (Fast PK): A rapid screening method to increase pharmacokinetic throughput in pre-clinical drug discovery. European Journal of Pharmaceutical Sciences. 47(2). 444–450. 5 indexed citations

Balasubramanian, V., Suresh Solapure, Kunal Kumar, et al.. (2012). Effect of Coadministration of Moxifloxacin and Rifampin on Mycobacterium tuberculosis in a Murine Aerosol Infection Model. Antimicrobial Agents and Chemotherapy. 56(6). 3054–3057. 19 indexed citations

Sastry, K.V.H., et al.. (2002). Solubilization of mu-opioid receptors enriched from bovine brain membranes.. PubMed. 39(1). 60–5. 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.

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