Disha Awasthy

925 total citations
9 papers, 253 citations indexed

About

Disha Awasthy is a scholar working on Infectious Diseases, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Disha Awasthy has authored 9 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Molecular Medicine. Recurrent topics in Disha Awasthy's work include Tuberculosis Research and Epidemiology (5 papers), Biochemical and Molecular Research (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Disha Awasthy is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Biochemical and Molecular Research (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Disha Awasthy collaborates with scholars based in India, United States and United Kingdom. Disha Awasthy's co-authors include Umender Sharma, Venkita Subbulakshmi, Anisha Ambady, Sowmya Bharath, Reena Yadav, Sudha Ravishankar, Sheshagiri Gaonkar, Radha Krishan Shandil, Vasan K. Sambandamurthy and Vasanthi Ramachandran and has published in prestigious journals such as Journal of Medicinal Chemistry, Gene and Microbiology.

In The Last Decade

Disha Awasthy

9 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Disha Awasthy India	9	164	125	68	33	32	9	253
Samantha Wellington United States	7	245 1.5×	138 1.1×	80 1.2×	63 1.9×	23 0.7×	8	358
Anisha Ambady India	10	238 1.5×	206 1.6×	94 1.4×	107 3.2×	44 1.4×	11	374
Manchi C. M. Reddy United States	10	301 1.8×	223 1.8×	166 2.4×	16 0.5×	31 1.0×	15	482
Priya Ragunathan Singapore	14	468 2.9×	262 2.1×	141 2.1×	31 0.9×	45 1.4×	35	576
P.W. Bilder United States	7	195 1.2×	102 0.8×	64 0.9×	7 0.2×	18 0.6×	7	331
Elyse Dunn New Zealand	6	261 1.6×	104 0.8×	50 0.7×	28 0.8×	44 1.4×	9	336
Suresh Solapure India	11	223 1.4×	241 1.9×	142 2.1×	61 1.8×	59 1.8×	13	388
Tushar Shakya Canada	8	193 1.2×	54 0.4×	30 0.4×	80 2.4×	106 3.3×	9	303
Sudha Ravishankar India	10	187 1.1×	91 0.7×	61 0.9×	50 1.5×	44 1.4×	13	292
Susana David Portugal	12	146 0.9×	182 1.5×	158 2.3×	52 1.6×	29 0.9×	26	380

Countries citing papers authored by Disha Awasthy

Since Specialization

Citations

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

Fields of papers citing papers by Disha Awasthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Disha Awasthy

This figure shows the co-authorship network connecting the top 25 collaborators of Disha Awasthy. A scholar is included among the top collaborators of Disha Awasthy 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 Disha Awasthy. Disha Awasthy 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

Hariharan, Arun K, Arunika Agarwal, Disha Awasthy, et al.. (2021). Validation of whole genome sequencing from dried blood spots. BMC Medical Genomics. 14(1). 110–110. 11 indexed citations

Ravishankar, Sudha, Anisha Ambady, Disha Awasthy, et al.. (2015). Genetic and chemical validation identifies Mycobacterium tuberculosis topoisomerase I as an attractive anti-tubercular target. Tuberculosis. 95(5). 589–598. 32 indexed citations

Awasthy, Disha, et al.. (2014). Revisiting the essentiality of glutamate racemase in Mycobacterium tuberculosis. Gene. 555(2). 269–276. 13 indexed citations

Awasthy, Disha, et al.. (2014). Roles of the two type II NADH dehydrogenases in the survival of Mycobacterium tuberculosis in vitro. Gene. 550(1). 110–116. 27 indexed citations

Naik, Maruti, Anisha Ambady, Ashwini Narayan, et al.. (2014). Diarylthiazole: An Antimycobacterial Scaffold Potentially Targeting PrrB-PrrA Two-Component System. Journal of Medicinal Chemistry. 57(15). 6572–6582. 41 indexed citations

Ambady, Anisha, et al.. (2012). Evaluation of CoA biosynthesis proteins of Mycobacterium tuberculosis as potential drug targets. Tuberculosis. 92(6). 521–528. 12 indexed citations

Awasthy, Disha, Sowmya Bharath, Venkita Subbulakshmi, & Umender Sharma. (2011). Alanine racemase mutants of Mycobacterium tuberculosis require d-alanine for growth and are defective for survival in macrophages and mice. Microbiology. 158(2). 319–327. 41 indexed citations

Awasthy, Disha, Anisha Ambady, Jyothi Bhat, et al.. (2010). Essentiality and functional analysis of type I and type III pantothenate kinases of Mycobacterium tuberculosis. Microbiology. 156(9). 2691–2701. 26 indexed citations

Awasthy, Disha, Sheshagiri Gaonkar, Radha Krishan Shandil, et al.. (2009). Inactivation of the ilvB1 gene in Mycobacterium tuberculosis leads to branched-chain amino acid auxotrophy and attenuation of virulence in mice. Microbiology. 155(9). 2978–2987. 50 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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