Mohd Khubaib

559 total citations
23 papers, 386 citations indexed

About

Mohd Khubaib is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Mohd Khubaib has authored 23 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 9 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Mohd Khubaib's work include Tuberculosis Research and Epidemiology (9 papers), Antibiotic Resistance in Bacteria (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). Mohd Khubaib is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Antibiotic Resistance in Bacteria (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). Mohd Khubaib collaborates with scholars based in India, United Kingdom and Saudi Arabia. Mohd Khubaib's co-authors include Seyed E. Hasnain, Nasreen Z. Ehtesham, Javaid Ahmad Sheikh, Saurabh Pandey, Salma Jamal, Abhinav Grover, Sonam Grover, Mohd Shariq, Neha Quadir and Syed Asad Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mohd Khubaib

23 papers receiving 383 citations

Peers

Mohd Khubaib
Maria Georgieva United States
Nicholas C. Poulton United States
Boon Heng Lee Singapore
Esther J. M. Stoop Netherlands
Xinwei Sher United States
Mohd Khubaib
Citations per year, relative to Mohd Khubaib Mohd Khubaib (= 1×) peers Nadine Álvarez

Countries citing papers authored by Mohd Khubaib

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Khubaib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd Khubaib

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Khubaib. A scholar is included among the top collaborators of Mohd Khubaib 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 Mohd Khubaib. Mohd Khubaib 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.
Ahmad, Firoz, et al.. (2025). MPPD modeling based differential lung dosimetry of rifabutin loaded β-glucan dry powder microparticles in adult mice and various human age groups. Journal of Drug Delivery Science and Technology. 106. 106686–106686. 1 indexed citations
2.
Upadhyay, Tarun Kumar, Mοhd Saeed, Irfan Ahmad, et al.. (2024). Treatment of Mycobacterium tuberculosis infected macrophages with Rifabutin loaded β-glucan microparticles induces macroautophagy mediated bacillary killing. International Journal of Biological Macromolecules. 283(Pt 2). 137256–137256. 3 indexed citations
3.
Khubaib, Mohd, et al.. (2024). Role of inflammatory cytokine burst in neuro-invasion of Japanese Encephalitis virus infection: an immunotherapeutic approaches. Journal of NeuroVirology. 30(3). 251–265. 4 indexed citations
4.
Upadhyay, Tarun Kumar, Mohd Khubaib, Sojin Kang, et al.. (2024). “β-glucan signalling stimulates NOX-2 dependent autophagy and LC-3 associated autophagy (LAP) pathway”. International Journal of Biological Macromolecules. 282(Pt 6). 136520–136520. 8 indexed citations
5.
Ansari, Mohd Ikram, et al.. (2024). Prevalence of antibiotic resistance genes in bacteria from Gomti and Ganga rivers: implications for water quality and public health. Environmental Monitoring and Assessment. 196(10). 992–992. 2 indexed citations
6.
Khubaib, Mohd, et al.. (2024). Second-generation biorefineries: single platform for the conversion of lignocellulosic wastes to environmentally important biofuels. Environmental Science and Pollution Research. 31(54). 62623–62654. 2 indexed citations
7.
Upadhyay, Tarun Kumar, Mohd Khubaib, Jyotsna Singh, et al.. (2024). Rifabutin loaded inhalable β-glucan microparticle based drug delivery system for pulmonary TB. Scientific Reports. 14(1). 16437–16437. 8 indexed citations
9.
Khan, Saima, et al.. (2023). Toxin-Antitoxin system of Mycobacterium tuberculosis: Roles beyond stress sensor and growth regulator. Tuberculosis. 143. 102395–102395. 7 indexed citations
10.
Khubaib, Mohd, et al.. (2023). Recent Advances in Nanocarrier Based Therapeutic and Diagnostic Approaches in Tuberculosis. SHILAP Revista de lepidopterología. 6(4). 8 indexed citations
11.
Shariq, Mohd, Neha Quadir, Neha Sharma, et al.. (2021). Mycobacterium tuberculosis RipA Dampens TLR4-Mediated Host Protective Response Using a Multi-Pronged Approach Involving Autophagy, Apoptosis, Metabolic Repurposing, and Immune Modulation. Frontiers in Immunology. 12. 636644–636644. 52 indexed citations
12.
Manjunath, P., Javeed Ahmad, Jasmine Samal, et al.. (2021). Mycobacterium tuberculosis Specific Protein Rv1509 Evokes Efficient Innate and Adaptive Immune Response Indicative of Protective Th1 Immune Signature. Frontiers in Immunology. 12. 706081–706081. 15 indexed citations
13.
Quadir, Neha, Mohd Khubaib, Javaid Ahmad Sheikh, et al.. (2021). ArgD of Mycobacterium tuberculosis is a functional N-acetylornithine aminotransferase with moonlighting function as an effective immune modulator. International Journal of Medical Microbiology. 312(1). 151544–151544. 12 indexed citations
14.
Jamal, Salma, et al.. (2020). Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis. Scientific Reports. 10(1). 5487–5487. 58 indexed citations
15.
Singh, Hina, Mohd Khubaib, Salma Jamal, et al.. (2020). Mapping the genomic landscape & diversity of COVID-19 based on >3950 clinical isolates of SARS-CoV-2. The Indian Journal of Medical Research. 151(5). 474–478. 13 indexed citations
16.
Sheikh, Javaid Ahmad, Hina Singh, Salma Jamal, et al.. (2020). Emerging genetic diversity among clinical isolates of SARS-CoV-2: Lessons for today. Infection Genetics and Evolution. 84. 104330–104330. 38 indexed citations
17.
Ahmad, Javeed, Mohd Khubaib, Javaid Ahmad Sheikh, et al.. (2019). Disorder‐to‐order transition in PE–PPE proteins of Mycobacterium tuberculosis augments the pro‐pathogen immune response. FEBS Open Bio. 10(1). 70–85. 24 indexed citations
18.
Pandey, Saurabh, Deeksha Tripathi, Mohd Khubaib, et al.. (2017). Mycobacterium tuberculosis Peptidyl-Prolyl Isomerases Are Immunogenic, Alter Cytokine Profile and Aid in Intracellular Survival. Frontiers in Cellular and Infection Microbiology. 7. 38–38. 34 indexed citations
19.
Khubaib, Mohd, Javaid Ahmad Sheikh, Saurabh Pandey, et al.. (2016). Mycobacterium tuberculosis Co-operonic PE32/PPE65 Proteins Alter Host Immune Responses by Hampering Th1 Response. Frontiers in Microbiology. 7. 719–719. 42 indexed citations
20.
Pandey, Saurabh, Deeksha Tripathi, Ashutosh Kumar, et al.. (2016). Mycobacterium tuberculosis Peptidyl-Prolyl Isomerases Also Exhibit Chaperone like Activity In-Vitro and In-Vivo. PLoS ONE. 11(3). e0150288–e0150288. 26 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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