Mohit Kumar

484 total citations
25 papers, 296 citations indexed

About

Mohit Kumar is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Mohit Kumar has authored 25 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 10 papers in Computational Theory and Mathematics and 9 papers in Organic Chemistry. Recurrent topics in Mohit Kumar's work include Antifungal resistance and susceptibility (10 papers), Computational Drug Discovery Methods (10 papers) and Synthesis and biological activity (5 papers). Mohit Kumar is often cited by papers focused on Antifungal resistance and susceptibility (10 papers), Computational Drug Discovery Methods (10 papers) and Synthesis and biological activity (5 papers). Mohit Kumar collaborates with scholars based in India, United Kingdom and Czechia. Mohit Kumar's co-authors include Rajendra Prasad, Naseem A. Gaur, Sonam Kumari, Sisir Nandi, Arunaloke Chakrabarti, Shivaprakash M. Rudramurthy, Alok K. Mondal, Mridula Saxena, Atanu Banerjee and Nitesh Khandelwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cell Science.

In The Last Decade

Mohit Kumar

24 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohit Kumar India 12 129 107 86 50 46 25 296
Elena Jiménez Spain 10 139 1.1× 94 0.9× 127 1.5× 54 1.1× 41 0.9× 11 333
Chandrakala Basavannacharya United Kingdom 8 201 1.6× 204 1.9× 55 0.6× 51 1.0× 44 1.0× 12 457
Leonardo Mariño Italy 10 119 0.9× 164 1.5× 65 0.8× 73 1.5× 20 0.4× 21 320
Tanvi Shekhar‐Guturja Canada 5 190 1.5× 104 1.0× 140 1.6× 38 0.8× 17 0.4× 6 302
Sundeep Chaitanya Vedithi United Kingdom 12 206 1.6× 215 2.0× 112 1.3× 40 0.8× 68 1.5× 29 460
Dinora Lopes Portugal 18 76 0.6× 133 1.2× 63 0.7× 56 1.1× 81 1.8× 31 767
Roberta Ibba Italy 13 80 0.6× 119 1.1× 31 0.4× 124 2.5× 30 0.7× 32 350
Vanessa Pietrowski Baldin Brazil 13 128 1.0× 140 1.3× 85 1.0× 90 1.8× 24 0.5× 28 421
Mina Nabil Kamel Egypt 11 168 1.3× 71 0.7× 116 1.3× 42 0.8× 46 1.0× 24 350
Dieudonné Lemuh Njimoh Cameroon 6 66 0.5× 128 1.2× 93 1.1× 33 0.7× 146 3.2× 12 517

Countries citing papers authored by Mohit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Kumar. A scholar is included among the top collaborators of Mohit Kumar 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 Mohit Kumar. Mohit Kumar 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
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Kumar, Mohit, Praveen Kumar, Shivaprakash M. Rudramurthy, et al.. (2024). Sphingolipid diversity in Candida auris: unraveling interclade and drug resistance fingerprints. FEMS Yeast Research. 24. 7 indexed citations
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Kumar, Mohit, Atanu Banerjee, Jane Usher, et al.. (2022). Fluconazole resistant Candida auris clinical isolates have increased levels of cell wall chitin and increased susceptibility to a glucosamine-6-phosphate synthase inhibitor. SHILAP Revista de lepidopterología. 8. 100076–100076. 20 indexed citations
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Kumar, Mohit, Nitesh Khandelwal, Atanu Banerjee, et al.. (2022). Inositol Phosphoryl Transferase, Ipt1, Is a Critical Determinant of Azole Resistance and Virulence Phenotypes in Candida glabrata. Journal of Fungi. 8(7). 651–651. 5 indexed citations
8.
Kumar, Mohit, et al.. (2022). Design, development and evaluation of QSAR and molecular modelling of benzothiazole analogues for antibacterial drug discovery. Results in Chemistry. 4. 100482–100482. 4 indexed citations
9.
Kumar, Mohit, Kushneet Kaur Sodhi, & Dileep Kumar Singh. (2021). Addressing the potential role of curcumin in the prevention of COVID-19 by targeting the Nsp9 replicase protein through molecular docking. Archives of Microbiology. 203(4). 1691–1696. 14 indexed citations
10.
Kumari, Sonam, Rajan Pandey, Mohit Kumar, et al.. (2021). Artemisinin Binds and Inhibits the Activity of Plasmodium falciparum Ddi1, a Retroviral Aspartyl Protease. Pathogens. 10(11). 1465–1465. 8 indexed citations
11.
Kumari, Sonam, Mohit Kumar, Naseem A. Gaur, & Rajendra Prasad. (2021). Multiple roles of ABC transporters in yeast. Fungal Genetics and Biology. 150. 103550–103550. 48 indexed citations
12.
Sheetal, Sheetal, et al.. (2021). ARTIFICIAL NEURAL NETWORK (ANN) AND ITS APPLICATIONS IN THE FIELD OF PHARMACY WITH A SPECIAL FOCUS ON PHARMACEUTICAL PRODUCT DEVELOPMENT: A RECENT REVIEW. Journal of Advanced Scientific Research. 12(04 Suppl 1). 28–38. 3 indexed citations
13.
Kumar, Ashok, Remya Nair, Mohit Kumar, et al.. (2020). Assessment of antifungal resistance and associated molecular mechanism in Candida albicans isolates from different cohorts of patients in North Indian state of Haryana. Folia Microbiologica. 65(4). 747–754. 14 indexed citations
14.
Kumar, Mohit, Ashutosh Singh, Sonam Kumari, et al.. (2020). Sphingolipidomics of drug resistant Candida auris clinical isolates reveal distinct sphingolipid species signatures. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1866(1). 158815–158815. 19 indexed citations
15.
Kumar, Mohit, Sonam Kumari, Shivaprakash M. Rudramurthy, et al.. (2020). A detailed lipidomic study of human pathogenic fungi Candida auris. FEMS Yeast Research. 20(6). 14 indexed citations
16.
Nandi, Sisir, Mohit Kumar, Mridula Saxena, & Anil K. Saxena. (2020). The Antiviral and Antimalarial Drug Repurposing in Quest of Chemotherapeutics to Combat COVID-19 Utilizing Structure-Based Molecular Docking. Combinatorial Chemistry & High Throughput Screening. 24(7). 1055–1068. 25 indexed citations
17.
Kumar, Mohit, et al.. (2019). Control of Aedes aegypti Mosquito Vector by Attempting QSAR Modeling on Phenoxyacetamide-Based Inhibitors to Target AChE1. 8(1). 0–0. 1 indexed citations
18.
Khandelwal, Nitesh, Remya Nair, Meghna Gupta, et al.. (2019). Vacuolar Sequestration of Azoles, a Novel Strategy of Azole Antifungal Resistance Conserved across Pathogenic and Nonpathogenic Yeast. Antimicrobial Agents and Chemotherapy. 63(3). 22 indexed citations
19.
Kumari, Sonam, Mohit Kumar, Nitesh Khandelwal, et al.. (2018). ABC transportome inventory of human pathogenic yeast Candida glabrata: Phylogenetic and expression analysis. PLoS ONE. 13(8). e0202993–e0202993. 23 indexed citations
20.
Nandi, Sisir, et al.. (2018). Signal Transduction through JAK-STAT and NF-κB Regulated Pim-1 Kinase: Novel Target for Anticancer Leads. Current Signal Transduction Therapy. 13(2). 83–104. 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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