Arbind Kumar

1.1k total citations
45 papers, 799 citations indexed

About

Arbind Kumar is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Arbind Kumar has authored 45 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 20 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Arbind Kumar's work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (10 papers) and Biochemical and Molecular Research (8 papers). Arbind Kumar is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (10 papers) and Biochemical and Molecular Research (8 papers). Arbind Kumar collaborates with scholars based in India, Sweden and Pakistan. Arbind Kumar's co-authors include Jashandeep Kaur, Jagdeep Kaur, Nirbhay Singh, Aashish Sharma, Ranvir Singh, R. K. NIGAM, Ranjay K. Singh, Kashmir Singh, Neera Garg and Gurpreet Singh and has published in prestigious journals such as Materials Science and Engineering A, Gene and International Journal of Biological Macromolecules.

In The Last Decade

Arbind Kumar

44 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arbind Kumar India 15 424 198 129 113 95 45 799
Pushpa Agrawal India 14 268 0.6× 156 0.8× 131 1.0× 73 0.6× 105 1.1× 32 609
Jacob P. Bitoun United States 20 513 1.2× 154 0.8× 195 1.5× 61 0.5× 42 0.4× 30 1.1k
Meghna Thakur United States 12 367 0.9× 129 0.7× 76 0.6× 76 0.7× 35 0.4× 29 629
Natalie C. Bamford Canada 15 648 1.5× 182 0.9× 79 0.6× 60 0.5× 103 1.1× 22 993
Perrin Baker Canada 18 826 1.9× 107 0.5× 51 0.4× 156 1.4× 127 1.3× 24 1.1k
Brendan D. Snarr Canada 16 525 1.2× 341 1.7× 208 1.6× 51 0.5× 63 0.7× 18 1.0k
Natalia Korotkova United States 20 550 1.3× 189 1.0× 154 1.2× 80 0.7× 23 0.2× 33 985
Maozhi Hu China 19 257 0.6× 142 0.7× 178 1.4× 216 1.9× 49 0.5× 50 1.2k
Davide Roncarati Italy 17 403 1.0× 110 0.6× 109 0.8× 95 0.8× 33 0.3× 41 956
Hadi Farsiani Iran 15 488 1.2× 164 0.8× 91 0.7× 33 0.3× 102 1.1× 52 1.0k

Countries citing papers authored by Arbind Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Arbind Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arbind Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Arbind Kumar. A scholar is included among the top collaborators of Arbind 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 Arbind Kumar. Arbind 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
1.
Saini, Varinder, et al.. (2023). Cell wall and immune modulation by Rv1800 (PPE28) helps M. smegmatis to evade intracellular killing. International Journal of Biological Macromolecules. 247. 125837–125837. 2 indexed citations
2.
Kumar, Arbind, et al.. (2022). Plant-derived immuno-adjuvants in vaccines formulation: a promising avenue for improving vaccines efficacy against SARS-CoV-2 virus. Pharmacological Reports. 74(6). 1238–1254. 19 indexed citations
3.
Kumar, Arbind, et al.. (2022). Pharmaco-immunomodulatory interventions for averting cytokine storm-linked disease severity in SARS-CoV-2 infection. Inflammopharmacology. 30(1). 23–49. 9 indexed citations
4.
5.
Kumar, Arbind, et al.. (2022). Mutation in Eth A protein of Mycobacterium tuberculosis conferred drug tolerance against enthinoamide in Mycobacterium smegmatis mc2155. Computational Biology and Chemistry. 98. 107677–107677. 6 indexed citations
6.
7.
Kumar, Arbind, et al.. (2021). Intra-Clade C signature polymorphisms in HIV-1 LTR region: The Indian and African lookout. Virus Research. 297. 198370–198370. 3 indexed citations
8.
Kumar, Rajesh, Manish Kumar, Vijay Kumar, et al.. (2020). Recent progress in the synthesis of C -4′-spironucleosides and its future perspectives. Synthetic Communications. 50(22). 3369–3396. 6 indexed citations
9.
Kumar, Vijay, et al.. (2019). Biocatalyst CAL-B catalyzed synthesis of modified nucleosides: An overview. Synthetic Communications. 49(13). 1659–1678. 9 indexed citations
10.
Rastogi, Ruchi, Arbind Kumar, Jagdeep Kaur, et al.. (2018). Rv0646c, an esterase from M. tuberculosis, up-regulates the host immune response in THP-1 macrophages cells. Molecular and Cellular Biochemistry. 447(1-2). 189–202. 6 indexed citations
11.
Kumar, Arbind, et al.. (2018). Rv1288, a Two Domain, Cell Wall Anchored, Nutrient Stress Inducible Carboxyl-Esterase of Mycobacterium tuberculosis, Modulates Cell Wall Lipid. Frontiers in Cellular and Infection Microbiology. 8. 421–421. 14 indexed citations
12.
Kaur, Jashandeep, et al.. (2017). Strategies for optimization of heterologous protein expression in E. coli: Roadblocks and reinforcements. International Journal of Biological Macromolecules. 106. 803–822. 295 indexed citations
13.
Kumar, Arbind, et al.. (2017). Modulation of Trehalose Dimycolate and Immune System by Rv0774c Protein Enhanced the Intracellular Survival of Mycobacterium smegmatis in Human Macrophages Cell Line. Frontiers in Cellular and Infection Microbiology. 7. 289–289. 22 indexed citations
14.
Kumar, Arbind, Sukh Mahendra Singh, Ranvir Singh, & Jagdeep Kaur. (2017). Rv0774c, an iron stress inducible, extracellular esterase is involved in immune-suppression associated with altered cytokine and TLR2 expression. International Journal of Medical Microbiology. 307(2). 126–138. 20 indexed citations
15.
Kumar, Arbind, et al.. (2017). In-Silico Characterization of a Hypothetical Protein, Rv1288 of Mycobacterium tuberculosis Containing an Esterase Signature and an Uncommon LytE Domain. Current Computer - Aided Drug Design. 13(2). 101–111. 2 indexed citations
16.
Kumar, Arbind, et al.. (2017). Structural and functional insights into thermostable and organic solvent stable variant Pro247-Ser of Bacillus lipase. International Journal of Biological Macromolecules. 108. 845–852. 14 indexed citations
17.
18.
Kumar, Rakesh, et al.. (2015). New Insight into Old <b><i>Bacillus</i></b> Lipase: Solvent Stable Mesophilic Lipase Demonstrating Enzyme Activity towards Cold. Microbial Physiology. 25(5). 340–348. 5 indexed citations
19.
Kumar, Arbind, et al.. (2015). Point Mutation Ile137-Met Near Surface Conferred Psychrophilic Behaviour and Improved Catalytic Efficiency to Bacillus Lipase of 1.4 Subfamily. Applied Biochemistry and Biotechnology. 178(4). 753–765. 14 indexed citations
20.
Kumar, T. Satish, et al.. (2013). Issues and Challenges in the Preparation of Niobium for Strategic Applications. International Journal of Chemical Studies. 1(2). 86–89. 2 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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